- gettectonic.com
Marketing Cloud Growth Edition
31Mar

HubSpot vs. Salesforce Marketing Cloud Growth

HubSpot vs. Salesforce Marketing Cloud Growth: Which Marketing Automation Platform is Right For You? EDITOR’S NOTE: Due to Marketing Cloud Growth being a new release, some of the SFMC data reflects Marketing Cloud Engagement as well. Salesforce and HubSpot are both powerful customer relationship management (CRM) platforms, but they cater to different needs and business sizes. Salesforce, with its extensive customization and robust integrations, is better suited for growing enterprises, while HubSpot is better suited for small to medium-sized businesses that don’t require modular, ease of growth solutions.  Salesforce is a leading CRM platform, largely preferred for its extensive suite of features and functionalities. It offers high-level customization tools and advanced predictive analytics. Therefore, Salesforce is ideal for growing businesses, complex sales organizations, and large enterprises with deeper needs for configurability and scalability.  HubSpot vs. Salesforce: A High-Level Comparison Beyond Features When organizations evaluate Customer Relationship Management (CRM) solutions, Salesforce and HubSpot frequently appear on their shortlists. While many online resources focus on feature-by-feature comparisons, this post takes a different approach—highlighting the key strategic differences between the two platforms. Why a Features-First Approach Isn’t Enough Editorial Note: We do not earn commissions from vendors covered on this site. Vendor Overviews Both Salesforce (founded 1999) and HubSpot (founded 2006) are leading CRM providers with strong market presence. Products & Evolution Marketing & Sales Dominance Key Differences to Consider 1. Scope & Complexity “HubSpot has a higher floor; Salesforce has a significantly higher ceiling.” — Reddit User 2. Native vs. Integrated Marketing 3. Consultant & App Ecosystems 4. Pricing Models 5. AI & Automation 6. Business Process Automation 7. User Experience (UX) Final Considerations Which is right for you? Before making a decision, evaluate your unique business needs—not just the platform differences. Investing in flexible CRM software improves efficiency through task automation and creates an invaluable information resource for your employees. Key Differences at a Glance Feature HubSpot Salesforce Marketing Cloud Growth Ideal Use Case Inbound marketing Omnichannel customer journeys and outbound sales and marketing communications, and inbound marketing Best for Small Business X Best for Mid-Market X Best for Enterprise X Software Categories Ranked #1 in 69 164 5 Star Customer Reviews 8260 15055 Positive Reviews of Ease of Use 1095 4674 All Salesforce plans let you send 5,000 email marketing campaign messages daily — a generous allowance we haven’t seen from any other provider. Here are some of the core capabilities of Salesforce Marketing Cloud: Salesforce has powerful APIs and a vast array of third-party integrations that can efficiently handle diverse business processes and requirements. Additionally, the CRM offers various tools and options for ease of use and rapid scaling. It is a reliable cloud solution that can help businesses dive deeper into data-driven decision-making to optimize sales and operations. Key Features in HubSpot Marketing Hub From automation features for attracting, nurturing, and converting leads to blogging, SEO, and ad management, HubSpot has some value to offer marketers while lacking the robust features of Marketing Cloud. Here are some of the core features of this solution: Customization and Flexibility HubSpot Salesforce Customization Custom objects, display information, basic API support, UI extensions, but with limitations Customizable sales view, standard tabs, record types, page layouts, cust fields, help, content, and business processes with in-depth customization for your business App integrations HubSpot App Marketplace for app integrations Extensive AppExchange library with more than 7000 apps Although HubSpot offers customization for display, layouts, and data models, there are limited options. The HubSpot App Marketplace also helps with swift app integrations. However, it can’t beat Salesforce in customization and flexibility.  With Salesforce, you get high-level customization features, allowing you to set up your data, websites, layouts, configurations, records, fields, interfaces, and several other options the way you want. The AppExchange platform offers ready-to-install third-party applications, building blocks, pre-built templates, scalable data solutions, guides, and other relevant resources for CRM processes.  Best for Pricing Salesforce wins because its entry-level plan is more feature-packed than HubSpot’s and providees 5,000 free daily emails. Additionally, if you desire more features, the price jump from Starter to Pro isn’t as jarring as HubSpot’s jump from Starter to Professional. Detailed Platform Comparison 1. Target Audience HubSpot excels for: Salesforce Marketing Cloud Growth is built for: 2. Core Capabilities HubSpot Strengths: SFMC Growth Advantages: This platform offers many marketing tools in one centralized place. They’re all part of two unique modules: Builders and Studios. Salesforce comes out ahead in the category of reporting and anlytics thanks to its comprehensive toolset and visually appealing dashboards. The AI-powered Einstein tool and its predictive anlaytics and decision-making support add real value. 3. Implementation Factor HubSpot SFMC Growth Setup Time 36 days 17 days Training Needed 10-20 hours 15-20 hours HubSpot can build customized onboarding plans that are aligned with specific business goals. It extends technical and strategic guidance to help users at every step. Moreover, the HubSpot academy further helps with implementation strategies and continuous support through unlimited access to onboarding content, playlists, boot camps, and communities. For smoother onboarding, Salesforce offers detailed product documentation, demos, and learning resources. Its extensive self-help portal and user community make it even easier to onboard new customers. The Trailhead training system is a go-to resource for exploring Salesforce and caters to learners at all levels and roles. Key Takeaway: HubSpot offers a better user experience and ensures smoother onboarding. However, businesses willing to invest time and resources in understanding functionalities and enhancing their workforce skills with proper training can go with Salesforce. 4. AI & Automation HubSpot AI: Salesforce Einstein: User Experience Reviews Cons of HubSpot Decision Guide Choose HubSpot if you: Choose SFMC Growth if you: The Bottom Line Long-term scalability: Which platform better supports growth and complexity HubSpot allows businesses to expand their operations with increasing users, marketing intact tiers, unlimited workflow automation, and other add-ons. These options are best for startups and small-scale businesses. However, it lacks the advanced customization, analytics, and reporting features required for complex business needs. Salesforce is a top-tier CRM tool that

Read More
March 31, 2025in Enterprise, Marketing Automation, Salesforce, Salesforce Einstein, Salesforce Marketing Cloud0 Comments
top ai sales tools
31Mar

Salesforce’s 7 Top AI Sales Tools and Software for 2025

Based on Erin Hueffner, Writer, Salesblazer. article Your AI Sales Tools can double the sales calls generated from inbound leads! They can convert 40% more customers! AI-driven automation can eliminate many time-consuming and repetitive tasks and accelerate workflows. Sales AI tools often use algorithms to automate sales operations, like adding information from customer calls and emails to a CRM database. AI can also streamline several key follow-ups to prospects after a sales call. Reclaim Your Selling Time with AI Sales Tools What if you could spend less time on admin and more time closing deals? Manual tasks like updating CRMs, drafting emails, and compiling reports drain productivity—and our State of Sales research shows 67% of reps risk missing quotas, partly due to inefficient tech stacks. AI sales tools are changing the game. By automating workflows, analyzing data, and personalizing outreach, they empower teams to focus on what truly drives revenue: building relationships and sealing deals. Here’s how AI is revolutionizing sales—and the top tools to help your team work smarter. What Are AI Sales Tools? AI sales tools leverage automation, machine learning, and predictive analytics to:✅ Eliminate busywork (data entry, scheduling, note-taking)✅ Uncover insights (lead scoring, deal forecasts, market trends)✅ Enhance engagement (personalized emails, call coaching, real-time recommendations) For SMBs, AI acts as a smart assistant; for enterprises, it scales into predictive forecasting and pipeline optimization. The result? Reps spend less time on logistics and more time selling. How AI Sales Tools Work These tools integrate with your CRM to: The impact is clear: 83% of AI-powered teams grew revenue last year vs. 66% without AI. 9 Top AI Sales Tools (Rated 4+ Stars) Curated from G2 and Capterra, these platforms excel in usability, features, and ROI. 1. Salesforce (Sales Cloud) 2. Outreach 3. Apollo.io 4. Pipedrive 5. Gong 6. Salesloft 7. APE AI 8. Clari 9. Instantly AI 5 Must-Have AI Sales Tool Features Trends Shaping AI Sales Tools in 2024 🔮 Deeper Analytics: AI spots hidden pipeline opportunities.🤖 Autonomous Assistants: Tools like Agentforce handle lead nurturing 24/7.🔒 Tighter Security: Encryption and privacy controls are non-negotiable.🛠️ Bias Guardrails: AI outputs are fact-checked to maintain trust. How to Choose the Right Tool The Bottom Line AI sales tools aren’t just about efficiency—they’re revenue multipliers. By automating grunt work and sharpening strategy, they help teams: Ready to upgrade your sales stack? The right AI tool can turn missed quotas into exceeded targets. Key Takeaways: Which sales task would you automate first? Let us know in the comments. 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

Read More
March 31, 2025in AI Tools, Data, Enterprise, Generative AI, Salesforce0 Comments
copilots and agentic ai
31Mar

Rise of Background Agents

The Rise of Autonomous AI Agents in Enterprise IT Enterprise IT leaders today grapple with mounting challenges: complex data ecosystems, aging legacy systems, and relentless integration demands that drain resources and stifle innovation. According to a Salesforce survey, 86% of IT leaders anticipate workloads increasing in the coming years, intensifying pressure to enhance efficiency and productivity. A transformative solution is emerging: autonomous AI agents that operate behind the scenes—collecting data, reasoning, making decisions, and executing tasks without human intervention. Unlike AI copilots that require direct user input, these “ambient” or “headless” agents activate automatically based on triggers such as data signals, workflows, APIs, or interactions with other agents. Running continuously, they enable enterprises to automate rigid, manual workflows and create more dynamic, scalable IT environments. “By deploying teams of ambient agents, CIOs can automate entire segments of static workflows, streamlining operations while building more agile and scalable infrastructure,” says Jayesh Govindarajan, EVP of AI at Salesforce. These agents reduce manual workloads, cut operational costs, and free IT teams to focus on strategic initiatives. Employees, meanwhile, benefit from reduced “swivel chair” inefficiencies—the constant app-switching that hampers productivity. The Shift Toward Agent-Centric Systems Adam Evans, EVP and GM of Salesforce AI, predicts that AI agents will eventually replace traditional app interfaces, becoming the primary way users interact with digital systems. This evolution hinges on multi-agent architectures, where an orchestrator agent manages task delegation, while specialized ambient agents retrieve data, analyze inputs, and execute actions across backend systems. Example: AI-Powered Customer Service When a customer inquires about an order status: Because these agents access both data and metadata, they deliver hyper-personalized recommendations, enhancing customer experiences. The Next Frontier: Multi-Agent Orchestration While companies like SharkNinja, Vivint, and the Adecco Group already deploy custom AI agents via Salesforce’s Agentforce platform, most operate in isolation. The next leap lies in multi-agent collaboration, where systems work in concert—akin to biological processes where cells communicate to sustain life. “Multi-agent orchestration is inevitable—bet on it,” asserts Govindarajan. Key Requirements for Scalable Agent Ecosystems ✅ Standardized Protocols – Like DNS for the internet, agents need universal discovery and communication frameworks.✅ High-Quality Data & Metadata – Critical for orchestrator agents to understand capabilities and constraints.✅ Unified Platforms – Systems like Salesforce’s deeply integrated ecosystem simplify agent deployment and coordination. Building the Future with Agentforce Salesforce’s AgentExchange—a marketplace for AI agents—and its Agentforce digital labor platform are accelerating enterprise adoption. In Q4 FY2025 alone, Salesforce secured over 5,000 Agentforce deals, including 3,000 paid deployments. For IT leaders, the promise is clear: multi-agent systems will redefine efficiency, productivity, and innovation—but only if built on robust, interoperable foundations. Conclusion: The Autonomous Enterprise is Here AI agents are no longer futuristic concepts—they are operational realities driving the next wave of enterprise efficiency. By embracing multi-agent architectures, businesses can:✔ Automate complex workflows end-to-end.✔ Eliminate manual bottlenecks across departments.✔ Unlock unprecedented scalability in IT operations. The future belongs to enterprises that harness autonomous, collaborative AI agents—transforming not just workflows, but entire business models. Ready to deploy AI agents in your organization? Discover how Agentforce can accelerate your automation journey. 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

Read More
March 31, 2025in Salesforce0 Comments
Salesforce Field Service
30Mar

Field Service Mobile Data Capture

Field Service Mobile Data Capture Using Discovery Framework Offline-Capable Dynamic Forms for Field Teams Transform field service operations with intelligent, structured data collection powered by Salesforce’s Discovery Framework. This solution enables: ✔ Offline functionality – Capture data without internet connectivity✔ Dynamic forms – Build responsive question flows in Flow Builder✔ Centralized question bank – Reuse and version assessment questions✔ Full audit trail – Track all form submissions and revisions Solution Capabilities Key Features Implementation Guide Prerequisites Setup Process Technical Considerations Supported Data Types Discovery Framework Type Flow Component Use Case Example Single-Select Picklist Radio Buttons Equipment Condition Multi-Select Picklist Checkbox Group Required Repairs Number Input Field Measurement Reading Date Date Picker Service Completion Text Text Area Customer Feedback Error Handling Mobile User Experience Field technicians can: Best Practices “Since implementing Discovery Framework forms, our first-time fix rate improved by 28% because technicians now capture complete information upfront,” reports Jessica Tan, Field Ops Director at Contoso Industrial. 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

Read More
March 30, 2025in Data, Enterprise, Salesforce0 Comments
Agentforce to the Team
29Mar

Redefining AI-Driven Customer Service

Salesforce’s Agentforce: Redefining AI-Driven Customer Service Salesforce has made major strides in AI-powered customer service with Agentforce, its agentic AI platform. The CRM leader now resolves 85% of customer queries without human intervention—an achievement driven by three key factors: Speaking at the Agentforce World Tour, Salesforce Co-Founder & CTO Parker Harris emphasized the platform’s role in handling vast volumes of customer interactions. The remaining 15% of queries are escalated to human agents for higher-value interactions, ensuring complex issues receive the necessary expertise. “We’re all shocked by the power of these LLMs. AI has truly hit a tipping point over the past two years,” Harris said. Currently, Agentforce manages 30,000 weekly conversations for Salesforce, proving its growing impact. Yet, the journey to adoption wasn’t without its challenges. From Caution to Acceleration: Agentforce’s Evolution Initially, Salesforce approached the Agentforce rollout with caution, concerned about AI hallucinations and accuracy. However, the company ultimately embraced a learn-by-doing approach. “So, we went for it!” Harris recalled. “We put it out there and improved it every hour. Every interaction helped us refine it.” This iterative process led to significant advancements, with Agentforce now seamlessly handling a high volume of inquiries. Expanding Beyond Customer Support Agentforce’s impact extends beyond customer service—it’s also revolutionizing sales operations at Salesforce. The platform acts as a virtual sales coach for 25,000 sales representatives, offering real-time guidance without the social pressures of a human supervisor. “Salespeople aren’t embarrassed to ask an AI coach questions, which makes them more effective,” Harris noted. This AI-driven coaching has enhanced sales efficiency and confidence, allowing teams to perform at a higher level. Real-World Impact and Competitive Edge Salesforce isn’t just promoting Agentforce—it’s using it to prove its value. Harris shared success stories, including reMarkable, which automated 35% of its customer service inquiries, reducing workload by 7,350 queries per month. Salesforce CEO Marc Benioff highlighted this competitive edge during the launch of Agentforce 2.0, pointing out that while many companies talk about AI adoption, few truly implement it at scale. “When you visit their websites, you still find a lot of forms and FAQs—but not a lot of AI agents,” Benioff said. He specifically called out Microsoft, stating: “If you look for Co-Pilot on their website, or how they’re automating support, it’s the same as it was two years ago.” Microsoft pushed back on Benioff’s critique, sparking a war of words between the tech giants. What’s Next for Salesforce? Beyond AI-driven service and sales, Salesforce is making bold moves in IT Service Management (ITSM), positioning itself against competitors like ServiceNow. During a recent Motley Fool podcast, Benioff hinted at Salesforce’s ITSM ambitions, stating: “We’re building new apps, like ITSM.” At the TrailheadDX event, Salesforce teased this new product, signaling its expansion into enterprise IT management—a move that could shake up the ITSM landscape. With AI agents redefining work across industries, Salesforce’s aggressive push into automation and ITSM underscores its vision for the future of enterprise AI. 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

Read More
March 29, 2025in Agentforce Platform, Agentic AI, Data, Enterprise, Salesforce0 Comments
ai agents
29Mar

AI Agents

What AI Agents Are Available on the Market? Limitations of Operator, Computer Use, and Similar Agents OpenAI Operator can be seen as a semi-autonomous agent, but many users note that it asks too many questions and requires excessive confirmations, even in situations that pose no risk:“Operator is like driving a car with cruise control — occasionally taking your foot off the pedals — but it’s far from full-blown autopilot.” Furthermore, although Operator is technically designed to interact with any website, in reality, it’s far from a universal solution. It works reliably on a predefined set of platforms for tasks like shopping and restaurant reservations (such as Instacart and OpenTable), where its functionality has been tested. But outside of these, its performance is inconsistent — sometimes even generating incorrect or entirely fabricated data. Google’s Project Mariner, which aims to offer similar capabilities within Chrome, remains in closed beta for now. Meanwhile, many are eagerly anticipating a consumer product from Claude, which released the API for its Claude Computer Use agent (built on a slightly different principles) back in October 2024. One thing seems certain, though — it will be even more “cautious” than Operator, meaning it’s unlikely to handle tasks like sending emails or posting on social media on your behalf. Thus, browser-based agents come with at least two key limitations:— they work reliably only on a predefined set of websites;— certain actions are prohibited (for example, allowing an agent to send emails autonomously could create conflicts between its owner and others). Mobile agents face similar constraints. Take Perplexity Assistant, one of the earliest attempts at a “versatile” mobile AI agent — it still supports only a limited range of apps where it can operate on behalf of the user. Deep Research Agents To highlight the contrast, let’s look at AI agents built specifically for deep research. This category has seen a surge in new tools recently, and they deliver significantly better results than standard AI-powered web search. Deep Research tools qualify as AI agents due to their high level of autonomy. At this stage, no truly agentic tool exists that can handle any problem on our behalf — even in a semi-autonomous mode, let alone a fully autonomous one. However, there are highly effective agents within specific domains, such as deep research agents. With that in mind, let’s categorize typical AI applications into several groups (use cases) and tackle the following question for each group. 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

Read More
March 29, 2025in Salesforce0 Comments
Sending Emails Through Salesforce
28Mar

Building Trust and Consistency in Email Marketing

Maintain Consistency Consistency in email volume and frequency is essential for a strong email marketing program. Once your IP addresses are warmed up, internet service providers (ISPs) expect regular sending patterns from each IP. Sudden spikes or dips in sending activity can impact your deliverability and sender reputation. Implement Email Authentication Email authentication ensures that emails sent from your business are genuinely from you, protecting your reputation from spammers attempting to impersonate your organization. Your email service provider can help set up authentication protocols such as: These systems prevent unauthorized senders from misusing your domain and enhance email security. Monitor Your Sending Practices Take ownership of your email deliverability by tracking key metrics: Regularly reviewing these insights helps you avoid common mistakes and optimize email performance. Demonstrate Customer Care Email marketing isn’t just about promotion—it’s a channel for building meaningful relationships with your audience. Show empathy by addressing customer concerns and providing valuable resources when they need them most. According to Salesforce Research’s State of the Connected Customer report, most customers appreciate having a spam filter. This underscores the importance of maintaining trust and relevance in your email strategy. Key Strategies to Build Trust with Email Recipients ✅ Deliver Valuable Content Ensure your emails provide useful information, industry insights, or practical solutions tailored to your audience’s needs. ✅ Personalize Your Messages Leverage recipient names, past interactions, and behavioral data to create personalized, relevant content that fosters engagement. ✅ Be Transparent Clearly communicate why you’re reaching out, how you use subscriber data, and avoid misleading tactics that can erode trust. ✅ Maintain Consistency Send emails at predictable intervals with a consistent brand voice and design to establish familiarity. ✅ Craft Clear Subject Lines Use concise, descriptive subject lines that accurately reflect the email’s content to improve open rates. ✅ Make Unsubscribing Easy Provide a simple opt-out option to respect user preferences and maintain a clean, engaged email list. ✅ Engage with Your Audience Encourage two-way communication by responding to replies, gathering feedback, and incorporating customer suggestions where applicable. ✅ Leverage Social Proof Include testimonials, customer reviews, or industry recognitions to build credibility and reinforce trust. ✅ Respect Privacy Regulations Comply with data protection laws and clearly communicate how you handle subscriber information. ✅ Use a Professional Email Address Send emails from a recognizable domain-based address rather than generic or free email providers. Common Email Marketing Mistakes to Avoid ❌ Overly Sales-Driven Content – Prioritize value and relationship-building over aggressive sales pitches. ❌ Spammy Tactics – Avoid misleading subject lines, excessive punctuation, and overly promotional language. ❌ Poor Email Design – Ensure emails are visually appealing, easy to read, and mobile-friendly. ❌ Outdated Email Lists – Regularly clean your subscriber list to remove inactive addresses and improve deliverability. By following these best practices, you can build stronger relationships with your audience, improve email engagement, and maintain a positive sender reputation. By Tectonic Marketing Opps Director, Shannan Hearne 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

Read More
March 28, 2025in Data, Laws, Salesforce0 Comments

Adecco Group and Salesforce Launch Joint Venture

Adecco Group and Salesforce Launch Joint Venture to Pioneer AI-Human Workforce Integration Strategic Partnership Aims to Redefine Workforce Management The Adecco Group, the world’s second-largest staffing firm, has announced a groundbreaking joint venture with Salesforce to create an AI-powered workforce management platform. The new entity, backed by investments from both corporations, will focus on enabling enterprises to strategically integrate human employees with autonomous AI agents. Bridging the Human-Digital Workforce Divide The partnership combines Adecco’s workforce expertise with Salesforce’s Agentforce platform to deliver: “The mission is to unlock the full potential of humans working alongside AI,” stated Denis Machuel, CEO of Adecco Group. “We’re at a critical juncture where establishing clear frameworks for human-AI collaboration will determine future success.” Market Context and Industry Impact The move follows Adecco’s December 2024 adoption of Salesforce’s Agentforce to enhance its recruitment operations. Industry analysts view this as a strategic response to workforce transformation: “Staffing firms face a choice – lead the AI transition or risk disruption,” noted John Nurthen of Staffing Industry Analysts. “Adecco’s initiative likely signals a broader trend in the trillion digital labor market.” Platform Capabilities and Roadmap The joint venture will offer: Broader Industry Momentum The announcement coincides with Deloitte’s March 26 reveal of its Salesforce-powered marketing agent, part of a broader push to embed AI across enterprise functions. Other staffing technology providers like Bullhorn and Asymbl have also joined AgentExchange, signaling growing industry adoption. “These partnerships demonstrate how agentic AI is moving from concept to commercialization,” commented Brian Landsman of Salesforce. “We’re seeing the emergence of entirely new business models in digital labor.” The joint venture plans to release additional details about its platform and go-to-market strategy in coming months. Contact Tectonic to upgrade your staffing agency. 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

Read More
March 27, 2025in AgentExchange, Agentforce Platform, Agentic AI, Data, Enterprise, Salesforce, Technology0 Comments
From Chatbots to Agentic AI
27Mar

Where is AI Going?

The evolution of AI capabilities is an ongoing process, driven by research, technological advancements, and the increasing demand for more sophisticated AI systems. Here are some key areas where we can expect the next evolution of AI: 1. Enhanced Reasoning and Decision-Making 2. Generalization and Transfer Learning 3. Multimodal AI 4. Ethical and Responsible AI 5. AI in Edge Computing 6. Neuro-Symbolic AI 7. Autonomous Learning and Self-Improvement 8. AI for Complex Systems Management 9. Human-AI Collaboration 10. Quantum AI The next evolution of AI will likely be characterized by these advancements, focusing not only on technical capabilities but also on ethical considerations, societal impact, and the integration of AI into daily life in a more seamless and beneficial manner. If you need visual representations or further detailed explanations on any specific aspect, let me know, and I can generate images or delve deeper into these topics. Like1 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

Read More
March 27, 2025in Data0 Comments
MuleSoft
27Mar

Enabling API Projects for Agent Topics and Actions with MuleSoft

Overview Use MuleSoft’s Topic Center (also known as Agentforce: Topic Center) to configure API specifications for topics and agents, then sync them to Salesforce API Catalog. This enables AI-powered agents to perform tasks autonomously, such as updating records, retrieving data, and executing actions across systems. Key Concepts Prerequisites Before starting, ensure:✅ Tenant relationship between Anypoint Platform and a Salesforce org with agent entitlements.✅ API Catalog is enabled in Salesforce.✅ Required permissions in Anypoint Platform: Step 1: Create an API Specification Project Step 2: Configure Topics In the Agent Topics panel, define: Step 3: Define Agent Actions Annotate API operations to enable agent actions: yaml Copy x-sfdc/agent/action/publishAsAgentAction: true x-sfdc/privacy/isPii: false # Optional PII handling x-sfdc/agent/action/isUserInput: false # User input required? x-sfdc/agent/action/isDisplayable: true # Show field to users? Note: Metadata must be inline (not via $ref). Step 4: Apply Governance & Publish Disabling Topics & Actions To remove topic functionality: Next Steps This streamlined process ensures AI agents leverage APIs efficiently while maintaining governance and security. 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

Read More
March 27, 2025in Data, Mulesoft, Salesforce0 Comments
AI Agent Revolution
26Mar

AI Agent Revolution

The AI Agent Revolution: How AWS, Salesforce, and Oracle See the Future of Work Executives from AWS, Salesforce, and Oracle believe artificial intelligence (AI) agents are set to redefine work in ways many may not expect. These AI-driven systems promise to streamline operations, enhance productivity, and transform the way businesses interact with technology. The Future of AI Agents in Action Imagine a world where: Swami Sivasubramanian, AWS’s vice president of agentic AI, describes this shift as a fundamental leap forward. Unlike earlier AI models, these agents don’t just generate content—they reason, plan, and execute tasks. They can research, pay bills, manage enterprise applications, and break down high-level objectives into actionable steps. Sivasubramanian envisions a “fully AI world” where agents autonomously make decisions, automate workflows, and coordinate with minimal human oversight. But, as he points out, this isn’t a distant future—it’s happening now. Companies like Genentech are using AI agents to accelerate drug research, cutting timelines by nearly five years. Moody’s has reduced its credit risk reporting process from a week to under an hour. These breakthroughs illustrate the vast potential of AI-driven automation. Salesforce’s ‘Limitless Labor’ Approach Salesforce is also at the forefront of AI agent adoption with Agentforce, a platform that has seen overwhelming demand since its launch. More than 5,000 customers signed up in its first full quarter, signaling a strong appetite for AI-driven automation. Adam Evans, EVP and GM of Salesforce AI, describes AI agents as creating a “limitless labor” pool. These agents are already supporting Salesforce’s own customers, resolving 97% of inquiries without human intervention. The next evolution, according to Evans, involves AI agents acting as brand ambassadors—not just answering questions, but understanding customer needs, driving sales, and providing personalized support. Salesforce categorizes AI agents into three types: Early adopters like Wiley Publishing have reported a 40% increase in customer satisfaction due to AI-driven customer service, while Pfizer is leveraging AI agents in life sciences. To support this transformation, Salesforce has introduced flexible pricing models, allowing companies to transition from traditional seat-based pricing to AI consumption-based structures. AI Agents as the New Enterprise Interface Oracle sees AI agents as the future interface for enterprise software, eliminating the need for users to adapt to complex systems. “Let’s stop adapting ourselves to computers and make them adapt to us,” said Miranda Nash, group vice president at Oracle AI. In this vision, users no longer navigate Oracle’s software through menus—they simply ask questions, and AI agents handle the rest through sophisticated, multi-agent workflows. Oracle is embedding AI agents across key business functions, including: As AI transforms work, Nash, Evans, and Sivasubramanian acknowledge concerns about job displacement. However, they emphasize that AI agents augment human roles rather than replace them. At Salesforce, employees previously assigned to repetitive support tasks are now moving into higher-value roles like customer success and sales. Meanwhile, AWS’s AI deployment has saved Amazon 4,500 developer years’ worth of work and over $250 million in capital expenses. “The only option now is to get in the cloud, embrace AI agents, and meet the future of work,” Nash concluded. 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

Read More
March 26, 2025in Agentforce Platform, Agentic AI, Artificial Intelligence, Data, Enterprise, Salesforce, Technology0 Comments
Building Trust in AI-Powered CRM
26Mar

Advancing AI Capabilities: The Next Evolution

Core Intelligence Interface & Control Infrastructure & Scaling The trajectory of AI advancements and their economic implications are becoming more defined. The introduction of ChatGPT Plus at $20/month provided basic conversational AI, while ChatGPT Pro raised the bar with enhanced reasoning at $200/month. OpenAI’s recent multi-agent research and Altman’s assertion that “we know how to build AGI” suggest that the next frontier—fully autonomous agents—may come at exponentially higher costs. As Noam Brown notes, some of the hardest problems may demand millions of dollars in compute resources per solution, signaling a future where increasingly capable AI systems will emerge with significant computational investments. The foundational elements for AI agents that approach human-like problem-solving are now in place: breaking down tasks, maintaining context, learning from experience, leveraging tools, and refining actions based on feedback. While these capabilities function effectively in controlled environments, real-world applications remain a challenge due to complexity and unpredictability. The coming years will focus on refining these systems—experimenting with optimal integrations, establishing reliable methodologies, and uncovering best practices for building robust AI agents. The technology is here, but mastering its orchestration to handle real-world challenges remains the next major hurdle. The AI agent revolution has begun, but we are still in the early stages of truly understanding how to harness its full potential. Like1 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

Read More
March 26, 2025in Salesforce0 Comments

Subscribe to our mailing list. Join our mail list to receive our newsletter

We'll keep you up to date with our latest news, insights, free resources, and much more.
Don't worry, we won't spam you.
gettectonic.com