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B2B Customer Service with Agentforce

Agents are the Future of Customer Engagement

Agentic Customer Engagement is Here There was a time when customer service meant going into a brick and mortar building and talking to a person face to face. It was time consuming and did not guarantee a solution. The mail order business brought on the need for the 800 number to contact a merchant. The dot com boom brought customer engagement opportunities directly to our homes. Ios and Android apps brought customer engagement to our fingertips. Yet we still were dependent upon the availability of humans or at least chatbots. Customer service often repressed customer engagement, not enhanced it. Agents, like Salesforce Agentforce, brought 24 7 customer engagement to us no matter where we are, when it is, or how complicated our issue is. And agents improved customer service! What’s next? Robots and drones who deliver our items and answer our questions? Who knows. AI bots are transforming client relationships and customer service. To achieve unparalleled efficiency, these intelligent systems plan and automate difficult activities, make deft decisions, and blend in seamlessly with current workflows. Yes, it’s widely believed that AI agents will play a crucial role in the future of customer engagement, offering personalized, efficient, and consistent experiences across various channels.  Here’s why AI agents are poised to be a key driver in customer engagement: AI agents are becoming smarter every day, using machine learning and natural language processing to predict customer needs, handle complex queries with empathy and offer real-time, personalized assistance. How AI Agents Are Redefining Customer Engagement Marketing is undergoing a seismic transformation. Tectonic shift, if you will. The past decade was dominated by complex tech stacks and data integration—now, AI is shifting the focus back to what truly matters: crafting impactful content and campaigns. Welcome to the era of agentic customer engagement and marketing. The Rise of Marketing Agents Unlike traditional customer service agents handling one-to-one interactions, marketing agents amplify human expertise to engage audiences at scale—whether targeting broad segments or hyper-personalized personas. They ensure consistent, high-quality messaging across every channel while automating the intricate backend work of delivering the right content to the right customer at the right time. This shift is powered by rapid AI advancements: How Agentic Engagement Amplifies Marketing Marketing agents don’t replace human creativity—they extend it. Once strategists set guidelines, approve messaging, and define brand voice, agents execute with precision across channels. At Typeface, for example, AI securely learns brand tones and styles to generate on-brand imagery, text, and videos—ensuring every asset aligns with the company’s identity. Key Capabilities of Marketing Agents The Human-Agent Partnership AI agents don’t replace marketers—they empower them. Humans bring creativity, emotional intelligence, and strategic decision-making; agents handle execution, data processing, and scalability. Marketers will evolve into “agent wranglers”, setting objectives, monitoring performance, and ensuring alignment with business goals. Meanwhile, agents will work in interconnected ecosystems—where a content agent’s blog post triggers a social agent’s promotion, while a performance agent optimizes distribution, and a brand agent tracks reception. Preparing for the Agent Era To stay ahead, businesses should:✅ Start small, think big – Pilot agents in low-risk areas before scaling.✅ Train teams – Ensure marketers understand agent management.✅ Build governance frameworks – Define oversight and intervention protocols.✅ Strengthen data infrastructure – Clean, structured data fuels agent effectiveness.✅ Maintain human oversight – Regularly audit agent outputs for quality and alignment. Work with a Salesforce partner like Tectonic to prepare for the Agent Era. The Future is Agentic The age of AI-driven marketing isn’t coming—it’s here. Companies that embrace agentic engagement will unlock unprecedented efficiency, personalization, and impact. The question isn’t if you’ll adopt AI agents—it’s how soon. Ready to accelerate your strategy? Discover how Agentforce (Salesforce’s agentic layer) can cut deployment time by 16x while boosting accuracy by 70%. The future of marketing isn’t just automated—it’s autonomous, adaptive, and agentic. Are you prepared? The Future of Customer Experience: AI-Driven Efficiency and Innovation Businesses have long understood the connection between operational efficiency and superior customer experience (CX). However, the rapid advancement of AI-powered technologies, including next-generation hardware and virtual agents, is transforming this connection into a measurable driver of value creation. Increasingly well-documented use cases for generative AI (GenAI) demonstrate that companies can simultaneously deliver a vastly superior customer experience at a significantly lower cost-to-serve, resulting in substantial financial gains. From Customer Journeys to Autonomous Customer Missions To achieve this ideal balance, companies are shifting from traditional customer journeys—where users actively manage their own experiences via apps—to a more comprehensive approach driven by trusted autonomous agents. These agents are designed to complete specific tasks with minimal human involvement, creating an entirely new paradigm for customer engagement. While early implementations may be rudimentary, the convergence of hardware and AI will lead to sophisticated, seamless experiences far beyond current capabilities. AI-Enabled Internal and External Transformation AI is already driving transformation both internally and externally. Internally, it streamlines processes, enhances employee experiences, and significantly boosts productivity. In customer service operations, for example, GenAI has driven productivity improvements of 15% to 30%, with some companies targeting up to 80% efficiency gains. Externally, AI is reshaping customer interactions, making them more personalized, efficient, and intuitive. Virtual co-pilots assist customers by answering inquiries, processing returns, and curating tailored offers—freeing human employees to focus on complex issues that require nuanced decision-making. Linking Operational Efficiency to Customer Experience Leading organizations are demonstrating how AI-driven efficiencies translate into enhanced CX. Despite these gains, companies must raise the bar even further to fully capitalize on AI’s potential. The convergence of next-generation hardware with AI-driven automation presents an unprecedented opportunity to redefine customer engagement. From App-Driven Experiences to Autonomous Agents At Dreamforce 2024, Salesforce CEO Marc Benioff highlighted that service employees waste over 40% of their time on repetitive, low-value tasks. Similarly, customers face friction in making significant purchases or planning events. Google research indicates that travelers may engage in over 700 digital touchpoints when planning a trip—a fragmented and often frustrating experience. Imagine instead a network of proprietary and third-party agents seamlessly executing customer missions—such as purchasing a car or planning a vacation—without requiring constant user input. These AI agents could: This “agentic AI” model represents a shift from passive app-based assistance to proactive, intelligent automation, significantly reducing

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Balancing Security with Operational Flexibility

Balancing Security with Operational Flexibility

Security measures for AI agents must strike a balance between protection and the flexibility required for effective operation in production environments. As these systems advance, several key challenges remain unresolved. Practical Limitations 1. Tool Calling 2. Multi-Step Execution 3. Technical Infrastructure 4. Interaction Challenges 5. Access Control 6. Reliability & Performance The Road Ahead Scaling AI Through Test-Time Compute The future of AI agent capabilities hinges on test-time compute, or the computational resources allocated during inference. While pre-training faces limitations due to finite data availability, test-time compute offers a path to enhanced reasoning. Industry leaders suggest that large-scale reasoning may require significant computational investment. OpenAI’s Sam Altman has stated that while AGI development is now theoretically understood, real-world deployment will depend heavily on compute economics. Near-Term Evolution (2025) Core Intelligence Advancements Interface & Control Improvements Memory & Context Expansion Infrastructure & Scaling Constraints Medium-Term Developments (2026) Core Intelligence Enhancements Interface & Control Innovations Memory & Context Strengthening Current AI systems struggle with basic UI interactions, achieving only ~40% success rates in structured applications. However, novel learning approaches—such as reverse task synthesis, which allows agents to infer workflows through exploration—have nearly doubled success rates in GUI interactions. By 2026, AI agents may transition from executing predefined commands to autonomously understanding and interacting with software environments. Conclusion The trajectory of AI agents points toward increased autonomy, but significant challenges remain. The key developments driving progress include: ✅ Test-time compute unlocking scalable reasoning ✅ Memory architectures improving context retention ✅ Planning optimizations enhancing task decomposition ✅ Security frameworks ensuring safe deployment ✅ Human-AI collaboration models refining interaction efficiency While we may be approaching AGI-like capabilities in specialized domains (e.g., software development, mathematical reasoning), broader applications will depend on breakthroughs in context understanding, UI interaction, and security. Balancing computational feasibility with operational effectiveness remains the primary hurdle in transitioning AI agents from experimental technology to indispensable enterprise tools. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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Salesforce and Singapore Airlines

Singapore Airlines (SIA), a Headline Partner of the APEX FTE Asia Expo in Singapore on 11-12 November 2025, is teaming up with Salesforce to co-develop cutting-edge Artificial Intelligence (AI) solutions for the airline industry. This collaboration, centered at the Salesforce AI Research hub in Singapore, aims to deliver greater value and innovative benefits to the sector. As part of this initiative, SIA is integrating Salesforce’s Agentforce, Einstein in Service Cloud, and Data Cloud into its customer case management system, enabling the airline to provide more consistent, personalised, and efficient service to its customers. SIA will deploy Agentforce, an AI system that uses autonomous agents to handle specific tasks, streamlining customer service operations. This allows SIA’s customer service representatives to focus on delivering enhanced, personalised attention during customer interactions. Data Cloud, Salesforce’s hyperscale data engine, powers Agentforce by consolidating relevant data, enabling AI agents to provide customer service representatives with tailored advice and solutions, further enhancing the customer experience. Mr. Goh Choon Phong, Chief Executive Officer of Singapore Airlines, highlighted the airline’s commitment to innovation: “As the world’s leading digital airline, Singapore Airlines is dedicated to investing in and leveraging advanced technologies to enhance customer experiences, improve operational efficiencies, drive revenue generation, and boost employee productivity. Over the past 18 months, the SIA Group has been an early adopter of Generative AI solutions, developing over 250 use cases and implementing around 50 initiatives across our end-to-end operations. Salesforce is a pioneer in Agentic AI, and integrating Agentforce, Einstein in Service Cloud, and Data Cloud into our customer case management system marks the first step in our collaboration. Together, we will co-create AI solutions that drive meaningful and impactful change, setting new standards for service excellence in the airline industry.” In addition to Agentforce, SIA will utilise Einstein Generative AI capabilities within Service Cloud to summarise customers’ previous interactions with the airline. This feature provides customer service representatives with actionable insights, enabling them to better understand and anticipate customer needs, tailor solutions, and reduce average response times. The result is a more efficient, proactive, and personalised customer service experience. Marc Benioff, Chair and Chief Executive Officer of Salesforce, emphasised the transformative potential of this partnership: “The rise of digital labour, powered by autonomous AI agents, is not just reimagining the customer experience – it’s transforming business. We’re thrilled to partner with Singapore Airlines, a trailblazer in this AI revolution, to elevate their already outstanding customer service to unprecedented heights, augment their employees, and collaborate on groundbreaking AI solutions for the airline industry. With our deeply unified digital labour platform, we’re bringing humans together with trusted, autonomous AI agents, unlocking new levels of productivity, innovation, and growth.” This collaboration between Singapore Airlines and Salesforce represents a significant step forward in the airline industry’s adoption of AI-driven solutions. By combining SIA’s industry expertise with Salesforce’s innovative AI technologies, the partnership aims to redefine customer service standards, enhance operational efficiency, and set a new benchmark for excellence in the aviation sector. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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data cloud and data silos

Unify Your Data Silos

Unify Your Data Silos: Deliver Connected, Personalized Experiences 🔹 65% of customers expect businesses to tailor experiences to their evolving needs. (State of Data and Analytics Report, 2023) Have you ever received a marketing promotion for something you just bought? Or had to repeat your purchase history before getting help from customer service? These disjointed experiences frustrate customers and result from data silos that prevent a unified view of the customer journey. With enterprises using over 1,000 applications on average, data ecosystems are highly complex. Many businesses attempt to centralize data in lakes, warehouses, or lakehouses, yet 73% of enterprise data remains unused for analytics (Forrester). Why? Because much of this data stays locked in backend systems, failing to power the real-time applications and workflows that drive customer engagement and business success. Break Down Data Silos to Create Seamless Customer Experiences By unifying your data, you can personalize every interaction—from online reviews and service records to browsing history and purchases. And by securely activating this data within your CRM and AI-driven workflows, you can deliver smarter, faster, and more impactful customer experiences. Unlock Business Growth with Unified Data When your teams have access to a complete, real-time customer profile, they can turn insights into action across every touchpoint: ✅ Sales Teams receive real-time guidance during calls, offering tailored recommendations based on customer behavior.✅ Service Agents proactively address issues with instant alerts and AI-powered resolutions.✅ Marketers deliver personalized, cross-channel messaging, adapting dynamically to customer actions.✅ Retailers optimize shopping experiences by responding in real time to cart abandonment and browsing patterns.✅ IT Teams build real-time apps to detect fraud, assess economic trends, and enhance security. Checklist: Build a 360° View of Your Customer ✅ Basic Data: Demographics, job title, email, and IP address.✅ Interaction Data: Email opens, website visits, CTRs, customer service calls, and social media activity.✅ Behavioral & Attitudinal Data: Purchase history, order values, survey feedback, and online reviews. Turn Raw Data Into Actionable Insights with Data Cloud Data Cloud transforms fragmented data into a single, trusted source of truth, deeply integrated with the Salesforce Platform. It enables organizations to: ✔ Connect and unify all customer data without complex data pipelines.✔ Activate insights in real-time across sales, service, and marketing workflows.✔ Power trusted AI solutions using all enterprise data for better decision-making. See How Formula 1 Uses Data to Drive Fan Engagement 📺 Watch how F1 personalizes fan experiences “With over 500 million fans worldwide, we needed personalized journeys and always-on capabilities.”— Matthew Kemp, Senior CRM & Customer Operations Manager, F1 Checklist: Unite Your Data for Better Customer Experiences ✔ Make data easy to store, manage, and analyze from any source.✔ Think holistically about behavioral, interaction, and attitudinal data.✔ Use a platform that transforms raw data into actionable insights.✔ Audit your systems for data silos causing disconnected experiences.✔ Ensure data is accessible in everyday workflows with trusted solutions like Data Cloud. 📊 Data-driven businesses don’t just manage customer experiences—they revolutionize them. 🚀 Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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AI and Robotics Revolution

The world’s leading CEOs are increasingly preparing for the imminent AI and robotics revolution, signaling a profound shift in the future of work. Salesforce CEO Marc Benioff recently offered a compelling vision of this future, where the boundaries between human and digital labor become increasingly blurred. In a striking declaration, Benioff stated that he would be the last Salesforce CEO to oversee a workforce composed solely of humans, underscoring the transformative impact of AI and robotics on the workplace. His remarks, which touched on the “digital labor revolution,” the multi-trillion-dollar economic opportunity it represents, and the rise of “agents” and robots, provide a thought-provoking glimpse into the evolving relationship between humans and technology in the professional sphere. Benioff elaborated on the concept of the “digital labor revolution,” describing it as a monumental opportunity worth between three and twelve trillion dollars. He emphasized that this revolution encompasses not only AI-driven agents and the “agentic age” but also the dawn of a “robotic age.” He highlighted China’s advancements in robotics as particularly noteworthy, pointing to the global competition in this rapidly evolving field. “The digital labor revolution is this three to twelve trillion dollar opportunity,” Benioff explained. “It involves agents and digital agents and the agentic age, but it also beholds a robotic age. And in the robotic age, who is going to make the robots? I think that that’s very impressive what the Chinese have been able to do with this robotic age. So the robots, the agents, AI—this is all part and parcel of the future.” When questioned about the implications for the workforce, Benioff made it clear that the integration of robots and AI agents into the workplace is inevitable. He envisions a future where humans work alongside these technologies in a collaborative manner. “The robotic age means for the workforce that we are going to work hand in hand with agents and robots,” he said. “I’ve told my employees, my customers, I’ll be the last CEO of Salesforce who only managed humans.” Benioff’s statement is more than a prediction; it is an acknowledgment of a rapidly approaching reality. His reference to the multi-trillion-dollar economic potential of AI and robotics highlights the scale of the opportunity, while his recognition of China’s progress in robotics underscores the global race to lead in this transformative domain. The concept of the “agentic age,” where AI agents operate autonomously, further underscores the shifting dynamics of the workplace, as traditional roles and processes are redefined by technological advancements. The implications of Benioff’s remarks are far-reaching. The integration of AI and robotics into the workforce will not simply augment human labor; it will fundamentally reshape it. This transformation will require a significant shift in mindset for both workers and leaders. Employees will need to adapt to collaborating with AI-powered agents and robots, acquiring new skills to remain relevant in an evolving job market. Companies, meanwhile, will face the challenge of integrating and managing a hybrid workforce, ensuring seamless collaboration between human and digital workers. Ethical considerations, such as the potential for job displacement and the responsible use of AI, will also need to be addressed proactively. Benioff’s words serve as a wake-up call, urging businesses and individuals alike to prepare for a future where humans and machines work side by side. This new era promises unprecedented levels of productivity and innovation, but it also demands careful planning and adaptation. As the lines between human and digital labor continue to blur, the organizations and individuals that embrace this change and invest in the necessary skills and infrastructure will be best positioned to thrive in the age of AI and robotics. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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Shift From AI Agents to AI Agent Tool Use

Building Scalable AI Agents

Building Scalable AI Agents: Infrastructure, Planning, and Security The key building blocks of AI agents—planning, tool integration, and memory—demand sophisticated infrastructure to function effectively in production environments. As the technology advances, several critical components have emerged as essential for successful deployments. Development Frameworks & Architecture The ecosystem for AI agent development has matured, with several key frameworks leading the way: While these frameworks offer unique features, successful agents typically share three core architectural components: Despite these strong foundations, production deployments often require customization to address high-scale workloads, security requirements, and system integrations. Planning & Execution Handling complex tasks requires advanced planning and execution flows, typically structured around: An agent’s effectiveness hinges on its ability to: ✅ Generate structured plans by intelligently combining tools and knowledge (e.g., correctly sequencing API calls for a customer refund request).✅ Validate each task step to prevent errors from compounding.✅ Optimize computational costs in long-running operations.✅ Recover from failures through dynamic replanning.✅ Apply multiple validation strategies, from structural verification to runtime testing.✅ Collaborate with other agents when consensus-based decisions improve accuracy. While multi-agent consensus models improve accuracy, they are computationally expensive. Even OpenAI finds that running parallel model instances for consensus-based responses remains cost-prohibitive, with ChatGPT Pro priced at $200/month. Running majority-vote systems for complex tasks can triple or quintuple costs, making single-agent architectures with robust planning and validation more viable for production use. Memory & Retrieval AI agents require advanced memory management to maintain context and learn from experience. Memory systems typically include: 1. Context Window 2. Working Memory (State Maintained During a Task) Key context management techniques: 3. Long-Term Memory & Knowledge Management AI agents rely on structured storage systems for persistent knowledge: Advanced Memory Capabilities Standardization efforts like Anthropic’s Model Context Protocol (MCP) are emerging to streamline memory integration, but challenges remain in balancing computational efficiency, consistency, and real-time retrieval. Security & Execution As AI agents gain autonomy, security and auditability become critical. Production deployments require multiple layers of protection: 1. Tool Access Control 2. Execution Validation 3. Secure Execution Environments 4. API Governance & Access Control 5. Monitoring & Observability 6. Audit Trails These security measures must balance flexibility, reliability, and operational control to ensure trustworthy AI-driven automation. Conclusion Building production-ready AI agents requires a carefully designed infrastructure that balances:✅ Advanced memory systems for context retention.✅ Sophisticated planning capabilities to break down tasks.✅ Secure execution environments with strong access controls. While AI agents offer immense potential, their adoption remains experimental across industries. Organizations must strategically evaluate where AI agents justify their complexity, ensuring that they provide clear, measurable benefits over traditional AI models. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Outsourcing Salesforce Admin for Small Businesses: Why It’s Smart and Cost-Effective Time is one of the most valuable assets for small businesses. Between juggling projects and tight deadlines, it’s easy for essential but complex systems like Salesforce to become overwhelming. Often, a single employee—a manager, receptionist, or clerk—takes on the role of the unofficial Salesforce Admin, handling technical issues alongside their primary duties. While this may work in the short term, it can quickly lead to inefficiencies, stress, and burnout. Outsourcing Salesforce administration is a strategic solution that brings expert help to the table. What Does It Mean to Outsource Salesforce Admin Work? Outsourcing involves hiring external specialists to manage specific functions, allowing your team to focus on core business activities. For small businesses using Salesforce, this can mean partnering with experienced Solution Implementation partners to set up a solid CRM foundation, followed by outsourcing ongoing management and support. When technical issues occur—such as login problems or a process breakdown—an external support team can be transformative. Instead of burdening your internal team with troubleshooting, outsourcing enables immediate, expert support, resulting in smoother, more efficient operations. Firms like StarrData can help with both initial setup and ongoing admin support, so your team can focus on growth. The Benefits of Outsourcing Your Salesforce Admin Expert Support: Outsourcing gives you access to certified Salesforce Admins with specialized knowledge and skills. These experts stay updated on Salesforce’s latest releases and best practices, enabling them to handle everything from routine tasks, like user management and field modifications, to complex projects like data migrations and custom code troubleshooting. This level of expertise alleviates the burden on your team while enhancing your Salesforce system’s effectiveness. Cost-Effectiveness: Hiring a full-time Salesforce Admin can be costly, especially in regions where salaries may exceed $100,000 annually. In addition to salary, you’ll need to consider benefits, onboarding, and training costs. For many small businesses, these expenses outweigh their Salesforce needs. Outsourcing offers a cost-effective alternative, providing expert support at a fraction of the cost of a full-time hire, allowing you to pay only for the services you need. Flexibility: Outsourcing provides flexibility, allowing you to tailor support to your unique needs, whether you need occasional help or a dedicated team. You can scale services up or down based on business demands, such as needing extra help for user management and report generation during busy seasons. Scalability: As your business grows, so do your Salesforce needs. An outsourced team can adapt to your evolving requirements, providing additional resources and expertise without the time and expense of hiring new staff. This scalability is essential for small businesses aiming to remain agile and competitive. Enhanced Focus for Internal Admins: If your organization already has a Salesforce Admin, outsourcing can complement their work. By delegating routine issues to an external team, your internal Admin can focus on high-impact tasks like system optimization, customizations, and critical troubleshooting—boosting productivity and job satisfaction. Continuity and Reliability: Outsourcing offers continuity, ensuring uninterrupted service during high-demand periods or when your internal Admin is unavailable. With a dedicated team ready to handle urgent issues, you can maintain operational efficiency and customer satisfaction without downtime. Getting Started with Outsourcing Salesforce Admin Work If you’re considering outsourcing your Salesforce admin, start by researching potential partners specializing in Salesforce support. Companies like StarrData offer STaaS (StarrData Team as a Service) and Admin contracts tailored to small business needs. Set up consultations with potential partners to discuss your specific requirements and determine how their services can fit into your workflows. Clear communication during this phase is crucial to ensure alignment with your business objectives. Conclusion Outsourcing Salesforce admin work is a smart move for small businesses looking to increase productivity and streamline operations. By leveraging external expertise, you can focus on growth while ensuring your Salesforce system remains a reliable, efficient tool for your business. This strategic choice reduces the burden on your team and provides access to specialized skills that can drive your business forward.

Salesforce and Ather Energy Partner

Salesforce and Ather Energy Partner to Revolutionize EV Dealership Operations Salesforce has joined forces with IPO-bound electric two-wheeler manufacturer Ather Energy to introduce a cutting-edge automotive dealer management system aimed at enhancing dealership operations and customer experiences across India. As part of the collaboration, Ather Energy—operating over 350 dealerships—has developed “Ather Dealer Central,” a next-generation dealer management system (DMS) built on the Salesforce platform. This AI-powered solution seamlessly integrates lead management, customer relationship management (CRM), and dealership functions into a unified mobile app, enabling real-time decision-making and improved customer satisfaction. “Our collaboration with Salesforce and the launch of ‘Ather Dealer Central’ redefines how EV dealerships operate. This intelligent platform connects every aspect of the dealer ecosystem, offering unprecedented insights, mobility, and efficiency to enhance customer service,” said Ravneet S. Phokela, Chief Business Officer, Ather Energy. The partnership leverages Salesforce’s advanced AI capabilities to streamline sales, support services, and dealership operations, providing a smarter and more connected retail experience. “As India’s EV market continues to evolve, customer experience will be a key driver of growth. Consumers are looking for seamless, personalized interactions when making eco-conscious choices. Our collaboration with Ather Energy demonstrates how technology can transform mobility, helping businesses deliver smarter, more connected experiences,” said Mankiran Chowhan, Vice President – Financial Services and Consumer Industries, Salesforce India. This announcement comes as Ather Energy prepares to file an updated draft red herring prospectus (DRHP) this week, ahead of its anticipated IPO in April—potentially at a revised valuation. Salesforce continues to expand its AI-driven offerings, recently launching Agentforce to help businesses build and manage autonomous AI agents for sales, customer service, and marketing. Additionally, last week, Salesforce announced a partnership with Pothys Swarna Mahal, the jewellery division of Chennai-based Pothys Group, to integrate AI-powered solutions for enhanced customer engagement and personalized shopping experiences. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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Salesforce Marketing Intelligence

Salesforce Marketing Intelligence

Introducing Marketing IntelligenceYour AI-powered marketing analytics solution built on the Salesforce Platform to enhance campaign performance and eliminate wasted spend. OverviewAccessing, harmonizing, and analyzing marketing data remains a highly manual and time-intensive process. Many marketers spend up to a week each month collecting, cleansing, and modeling data for reporting and analysis. As a result, nearly 41% of marketers’ time is consumed by repetitive tasks, leading to delayed performance reporting—when it’s too late to make optimizations that reduce waste and enhance customer value. Marketing Intelligence, our native Salesforce marketing analytics solution, addresses these challenges. Leveraging Data Cloud, Agentforce, Einstein AI, and Tableau Next, it continuously integrates, harmonizes, and transforms third-party marketing performance data into actionable insights—enabling marketers to optimize campaign spend and performance effortlessly. How Marketing Intelligence WorksMarketing Intelligence empowers marketers to seamlessly manage, analyze, and act on performance data—ensuring data-driven decisions that maximize ROI with minimal manual effort. Manage Your Data Marketing Intelligence automates data management with prebuilt connectors, AI-powered enrichment, and a marketing-specific semantic data model. Marketers can connect and harmonize performance data in just three clicks. See a full demo Understand Your Data Marketing Intelligence accelerates insights with out-of-the-box dashboards, built-in attribution reporting, and Agentforce-powered campaign optimization. Act on Your Data Leverage Agentforce to autonomously optimize campaigns around your business goals, 24/7. “We see potential with the future of Marketing Intelligence to drive faster results and deeper analysis by utilizing AI and Agentforce to enhance the platform’s analytical capabilities.”— Spike Therrien, Performance Marketing Lead, Land O’Lakes What’s NextWe’re expanding our unified data and Agentforce capabilities to provide a holistic view of marketing performance across paid, owned, and earned media—directly within the app. Upcoming enhancements include: Stay ahead of the curve with Marketing Intelligence—your AI-powered marketing analytics solution designed to drive efficiency and maximize campaign impact. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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Salesforce Sales Engagement for Nonprofits

Salesforce Sales Engagement for Nonprofits

Supercharge Your Nonprofit’s Donor Outreach with Salesforce Sales Engagement It’s time for the annual donor campaign. The fundraising team is juggling hundreds—if not thousands—of emails, phone calls, and follow-ups. The budget depends on surpassing last year’s donations, but with limited staff and time, reaching every potential donor feels impossible. The executive director asks, “How can we maximize donor engagement without increasing headcount—or at least focus our resources on the most likely givers?” Sound familiar? Every nonprofit faces the challenge of doing more with less. Fortunately, Salesforce offers a solution to keep your team organized, on task, and working smarter: Salesforce Sales Engagement. What Is Salesforce Sales Engagement? Salesforce Sales Engagement acts as a high-powered assistant for fundraising, membership, or program teams. This productivity hub, embedded within Salesforce, streamlines daily activities through automation, organization, and AI-powered insights. Key benefits include:✅ Cadences & Work Queues – Ensure no email, call, or task slips through the cracks.✅ Centralized Outreach – Keep all donor interactions in one place for seamless engagement.✅ AI-Driven Optimization – Analyze performance and refine strategies based on data. Previously known as High-Velocity Sales, Sales Engagement accelerates development cycles and scales outreach efforts effortlessly. By prioritizing critical tasks and automating others, your team can focus on building meaningful relationships and securing commitments faster. Engagement Cadences: Your Fundraising Playbook in Action Cadences serve as step-by-step roadmaps, guiding teams on how and when to engage with donors, members, or program participants. Whether you’re running a donor drive, promoting event registrations, or managing renewals, cadences ensure consistency and efficiency. Two Types of Cadences: 1️⃣ Standard Cadences – A structured sequence of touchpoints (emails, calls, LinkedIn messages) over time, such as a 30-day donor onboarding journey.2️⃣ Quick Cadences – A single, repeatable action, like automatically sending a thank-you email after a donation. With Cadence Builder, customizing workflows for different donor segments is fast and easy. Actions dynamically adjust based on engagement—so if a donor opens an email, they might receive a follow-up call; if they don’t, a reminder email is sent instead. Best of all, your team doesn’t have to track or remember each step—Sales Engagement assigns tasks automatically to individual work queues, ensuring nothing gets missed. Data-Driven Decision-Making with Built-In Analytics To improve outreach, you need to measure it. Sales Engagement provides powerful dashboards and reports to evaluate performance and optimize your approach. ✅ Track email open rates, call response rates, and donor engagement trends.✅ Identify successful messaging and refine underperforming campaigns.✅ Tie engagement metrics to fundraising goals to measure real impact. Unlike basic email tracking, Sales Engagement helps nonprofits connect data-driven insights with mission outcomes—empowering smarter decision-making without complex process changes. Already Using Salesforce Flows for Outreach? If your nonprofit relies on Salesforce Flow for outreach, you may wonder if Sales Engagement is necessary. The answer? Yes—if you want to do more with less effort. While flows are great for automation, Sales Engagement goes further with built-in call scripts, AI-powered task prioritization, and adaptable cadences. It offers a more intuitive, flexible approach to donor engagement, reducing manual work and boosting efficiency. Ready to Transform Your Fundraising Strategy? Salesforce Sales Engagement isn’t just for corporations—it’s a game-changer for nonprofits, helping teams increase donations, memberships, and event participation with less effort and greater impact. Are you ready to work smarter, engage better, and raise more? Let’s get started. Contact Tectonic today. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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AI in Airport Operations

VINCI Airports Leverages AI to Enhance Passenger Experience and Optimize Operations Across airside, landside, and terminal operations, VINCI Airports— a Corporate Partner of the FTE Digital, Innovation & Startup Hub— is harnessing Artificial Intelligence (AI) to transform passenger experiences, streamline airport flow, and reduce CO2 emissions. As an Innovation Center of Excellence for VINCI Airports, Lyon Airport is at the forefront of testing and implementing Generative AI (GenAI) to enhance customer interactions and operational efficiency. “AI is more than a buzzword—it’s a powerful tool for driving efficiency, improving interactions, personalizing services, and saving time,” says César Clary, Head of Digital & Innovation at Aéroports de Lyon/VINCI Airports. However, he emphasizes that AI should serve as a means to an end, not just a goal in itself. “We are making significant strides in leveraging AI to personalize services, improve efficiency, and reshape airport management.” AI-Powered Enhancements at Lyon Airport With over 10 million passengers passing through Lyon Airport each year, maintaining a cutting-edge customer experience is a priority. VINCI Airports has integrated AI-driven solutions into key customer touchpoints through in-house development and strategic partnerships: “The goal is to create more personalized and seamless interactions for travelers while supporting our staff,” Clary explains. By enabling natural language communication, real-time insights, and personalized recommendations, GenAI and Agentic AI are revolutionizing customer interactions and setting the stage for future service innovations. AI in Airport Operations Beyond customer service, AI is enhancing operational efficiency through: Overcoming Challenges in AI Implementation Despite AI’s vast potential, its adoption comes with challenges. Effective AI integration requires: Clary offers a strategic approach for AI adoption: “Spend time on algorithms and technology, but above all, invest in people, processes, and change management. Start small, demonstrate value, and educate your teams to ensure successful adoption.” With Lyon Airport leading the way, VINCI Airports is proving that GenAI is not just a futuristic concept but a transformative force in modern mobility. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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The Evolving Role of AI Agents in Key Industries

Legal Services The future of AI in the legal field lies in deeper collaboration between human lawyers and AI systems. AI agents will handle routine document processing, contract analysis, and compliance checks, while legal professionals focus on strategy, negotiation, and final validation. This approach ensures efficiency without compromising accuracy or legal accountability. Finance The financial sector has been an early adopter of AI agents, leveraging them for market analysis, trading, and risk management. 1. Market Analysis & Research 2. Trading & Investment 3. Risk Management Current Limitations: While results are promising, financial AI applications require strict risk management and regulatory oversight. Most firms start with narrowly scoped use cases—such as single-asset trading—before expanding into complex portfolio management. Research & Science AI agents are transforming scientific research by accelerating discovery while maintaining rigorous methodology. A multi-agent approach is proving valuable throughout the research lifecycle: This framework has already shown success in chemistry, where AI agents have identified novel catalysts and reaction pathways. With Google’s Gemini Deep Research, AI-driven knowledge synthesis is expanding beyond specialized fields to broader scientific domains. Challenges & Considerations: The key to success is integrating AI agents into existing research methodologies while preserving scientific rigor. Emerging AI Agent Trends Across industries, three core patterns define the evolution of AI agents: While AI agents hold immense potential, most industries remain in an experimental phase of adoption. Many organizations start with Retrieval-Augmented Generation (RAG) before advancing to fully autonomous agents. The Challenge of Implementation Adopting AI agents requires careful evaluation of their benefits vs. complexity: Organizations must balance innovation, security, and operational efficiency to maximize the impact of AI agents in their industries. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Financial Services Sector

Future of Financial Services

The Future of Financial Services: AI Agents, Consumer Trust, and Digital Transformation Fewer than half of consumers are fully satisfied with the service they receive from banks, insurance providers, and wealth management advisors. This underscores the urgent need for financial service institutions (FSIs) to prioritize standout customer experiences—both human and digital—leveraging AI agents to enhance personalization, efficiency, and responsiveness. Why Customer Experience is Key Consumer loyalty has long been driven by competitive pricing, fees, and interest rates. However, with declining rates making promotional incentives less feasible, FSIs are refocusing on customer service as a key differentiator. AI-powered digital experiences provide an opportunity to exceed customer expectations, offering speed, convenience, and hyper-personalization at scale. A significant portion of consumers are willing to stay with an institution that offers an exceptional experience, even if it raises its rates or fees. For instance, 46% of consumers—and 55% of high earners in the U.S. (households making over $100,000 per year)—value experience over pricing alone. Digital self-service is a primary component of this enhanced experience, with many consumers preferring to complete tasks online rather than through traditional phone or in-branch interactions. Institutions like Credit Unions are already meeting this demand by deploying self-service tools that provide instant resolutions, 24/7. AI Agents: Transforming the FSI Landscape AI agents represent a major leap forward in customer service, automating interactions and resolving issues without human intervention. However, trust in these AI-driven systems remains a work in progress. Only 41% of wealth management clients report being fully satisfied with their institution’s speed and effectiveness, and satisfaction levels are even lower among banking and insurance customers. Despite some skepticism, AI adoption is accelerating. Half of consumers expect AI to significantly impact their financial relationships, a belief even more pronounced among Millennials and Gen Z. The percentage of customers anticipating AI-driven transaction speed improvements has risen from 46% in 2023 to 65% today. Yet, consumer education on AI’s capabilities remains a challenge. AI agents have the potential to act as financial advisors, enhancing financial literacy, optimizing savings, and even increasing earnings. Salesforce’s Agentforce aims to bridge this gap, offering digital financial assistants that can answer questions like, “Am I saving enough for retirement?” or “Can I afford this vacation?”—delivering expert insights instantly and at scale. Building Trust in AI-Powered Finance Despite AI’s promise, trust issues persist. While 54% of consumers express confidence in AI agents, only 10% fully trust them. This skepticism is fueled by concerns over data privacy, security, and transparency. Many consumers are wary of how FSIs handle their personal information and are seeking greater clarity on AI’s role in financial decision-making. A Salesforce study revealed that 73% of consumers want to know when they’re interacting with AI, highlighting the importance of transparency in AI implementation. “For AI to succeed in financial services, trust and compliance must be built into the foundation,” said Eran Agrios, SVP & GM of Financial Services at Salesforce. “FSIs need to ensure their AI strategies are not only effective but also worthy of customer confidence.” AI in Action: Case Studies in Financial Services Financial institutions leveraging Agentforce are already seeing tangible benefits: Integrating Agentforce with ERP for Maximum Impact To maximize the potential of AI agents, FSIs must integrate them seamlessly into their broader enterprise ecosystems. Best practices for integration include: The Next Two Years: Defining the Future of AI in Finance As AI continues to disrupt the financial sector, FSIs that embrace AI-first strategies will outperform competitors in efficiency, security, and customer experience. Here’s what the future holds: The Takeaway Financial institutions that invest in AI-driven experiences today will define the future of finance. By adopting transparent, compliant, and consumer-centric AI strategies, FSIs can build trust, drive efficiency, and deliver exceptional customer experiences that set them apart in an increasingly AI-powered world. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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AI-Driven Salesforce Explained

AI-Driven Salesforce Explained

AI-driven Salesforce refers to the integration of Artificial Intelligence (AI) into Salesforce’s Customer Relationship Management (CRM) platform to enhance its capabilities, automate processes, and deliver smarter, data-driven insights. Salesforce has embedded AI into its ecosystem through Salesforce Einstein, its proprietary AI technology. Here’s a breakdown of how AI drives Salesforce: 1. What is AI-Driven Salesforce? AI-driven Salesforce leverages machine learning, natural language processing (NLP), predictive analytics, and automation to help businesses make smarter decisions, improve customer experiences, and streamline operations. It transforms raw data into actionable insights and automates repetitive tasks, enabling teams to focus on strategic activities. 2. Key Features of AI-Driven Salesforce a) Salesforce Einstein Einstein is the AI layer built into Salesforce that powers intelligent features across the platform. Key capabilities include: b) AI-Powered Insights c) Personalization d) Automation e) Predictive Intelligence 3. Benefits of AI-Driven Salesforce a) Enhanced Customer Experience b) Increased Efficiency c) Data-Driven Decision Making d) Improved Sales Performance e) Scalability 4. Use Cases of AI-Driven Salesforce a) Sales b) Marketing c) Customer Service d) Commerce 5. The Future of AI in Salesforce In summary, AI-driven Salesforce empowers businesses to work smarter, not harder, by leveraging data and automation to deliver better customer experiences and drive growth. It’s a game-changer for sales, marketing, service, and beyond! Content updated January 2025. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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ViUniT: A Breakthrough AI Framework for Reliable Visual Unit Testing in AI

ViUniT: A Breakthrough AI Framework for Reliable Visual Unit Testing in AI

Salesforce AI, in collaboration with the University of Pennsylvania, has introduced ViUniT (Visual Unit Testing)—a pioneering AI framework designed to improve the reliability of visual programs by automatically generating unit tests. By leveraging large language models (LLMs) and diffusion models, ViUniT enhances the logical correctness of visual reasoning systems, ensuring AI models produce accurate and justifiable results. The Challenge: Ensuring Logical Soundness in Visual Programs Visual programming has gained prominence in AI, particularly in computer vision, object detection, image captioning, and visual question answering (VQA). These systems excel at modularizing complex reasoning tasks, but their correctness remains a critical challenge. Unlike traditional text-based programming, where syntax errors and logic flaws can be easily debugged, visual programs often produce seemingly correct answers for incorrect reasons, making them unreliable. Recent studies highlight this issue: To address these challenges, systematic testing and verification frameworks are essential to ensure visual programs function as intended. Introducing ViUniT: A New Approach to Visual Program Reliability ViUniT is designed to systematically evaluate visual programs by generating unit tests in the form of image-answer pairs. Unlike conventional unit testing, which is primarily used for text-based applications, ViUniT focuses on: How ViUniT Works Key Applications of ViUniT ViUniT introduces four major innovations to improve model reliability: Performance & Key Findings ViUniT was extensively tested on three benchmark datasets: GQA, SugarCREPE, and Winoground, demonstrating significant improvements in model accuracy and reliability. 🔹 ViUniT improved model accuracy by 11.4% on average across datasets.🔹 Reduced logically flawed programs by 40%, ensuring models reason correctly.🔹 Enabled open-source 7B models to outperform GPT-4o-mini by 7.7%.🔹 ViUniT-based re-prompting improved performance by 7.5 percentage points compared to error-based re-prompting.🔹 Reinforcement learning strategies within ViUniT outperformed correctness-based reward strategies by 1.3%.🔹 Successfully identified unreliable programs, enhancing answer refusal strategies and reducing false confidence. Conclusion: A New Standard for Visual AI Testing ViUniT marks a significant step forward in AI-driven unit testing for visual programs, ensuring that AI models not only provide correct answers but also follow logically sound reasoning. By integrating LLMs, diffusion models, and reinforcement learning, this framework enhances trust, accuracy, and reliability in visual AI systems. As AI continues to evolve, ViUniT sets a new standard for validating and refining visual reasoning models, paving the way for more dependable AI-driven applications. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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