Sales Archives - gettectonic.com
Salesforce Data Cloud Hits $900M in Revenue
24May

Salesforce Data Cloud Hits $900M in Revenue

Salesforce Data Cloud Hits $900M in Revenue, Powering the Future of AI-Driven Business As AI evolves toward autonomous agents, unified data has become the backbone of enterprise intelligence—ensuring accuracy, compliance, and actionable insights. Without it, AI outputs grow unreliable, and compliance risks surge. Salesforce Data Cloud is addressing this challenge by unifying fragmented data sources, enabling smarter AI-powered experiences. The platform just hit a major milestone in FY25, reaching 0M in annual recurring revenue (ARR)—a testament to its rapid adoption. Why Data Cloud Stands Out Unlike traditional data solutions that require costly overhauls, Data Cloud enables real-time data activation with:✔ Zero-copy architecture (no data duplication)✔ 270+ pre-built connectors (Zendesk, Shopify, Snowflake, and more)✔ Unified structured & unstructured data processing Rahul Auradkar, EVP & GM of Unified Data Services and Einstein at Salesforce, explains: “Data Cloud is the leading data activation layer because it harmonizes data from any source—powering every AI action, automation, and insight. Our hyperscale capabilities, governance, and open ecosystem help enterprises break down silos, creating the foundation for trusted AI.” The Strategic Power of Unified Data Data Cloud acts as an intelligent activation layer, pulling data from warehouses, lakes, CRMs, and external systems to create a single customer view. This fuels: Insulet, a medical device company, leveraged Data Cloud to enhance customer experiences. Amit Guliani, acting CTO, says: “Unified data helps us move from insights to action—delivering personalized solutions that simplify life for people with diabetes.” Industry Recognition & Real-World Impact Salesforce Data Cloud has been named a Leader in the 2025 Gartner Magic Quadrant for Customer Data Platforms and praised by IDC, Forrester, and Constellation Research. Wyndham Hotels & Resorts uses it to transform guest experiences. Scott Strickland, Chief Commercial Officer, shares: “Data Cloud gives our agents a unified view of reservations, loyalty, and CRM data—letting us anticipate needs and personalize stays across thousands of properties.” The Future: Agentic AI Powered by Real-Time Data Data Cloud is the foundation for autonomous AI agents, enabling:🔹 Proactive workflows (agents triggered by customer behavior)🔹 Self-optimizing operations (automated risk detection, dynamic responses)🔹 Trusted governance (GDPR compliance, access controls, security) Adam Berlew, CMO at Equinix, notes: “Data Cloud is shifting our marketing strategy, enabling AI-powered personalization and automation at scale—key to our competitive edge.” Conclusion: AI Runs on Unified Data As businesses transition to AI-first models, Salesforce Data Cloud ensures:✅ Agents act autonomously with real-time, trusted data✅ Humans focus on strategy while AI handles routine tasks✅ Every interaction is hyper-personalized With $900M in ARR and rapid enterprise adoption, Data Cloud is proving to be the essential engine for the next wave of AI-driven business. Key Takeaways: Salesforce Data Cloud isn’t just unifying data—it’s powering the future of intelligent business. 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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May 24, 2025in Agentic AI, Data, Enterprise, Salesforce, Salesforce Data Cloud, Snowflake0 Comments
Understanding Total Addressable Market
23May

Understanding Total Addressable Market

Understanding Total Addressable Market (TAM): Calculation & Examples Calculating your Total Addressable Market (TAM) is the cornerstone of a strong growth strategy, ensuring all teams work toward the same goals. This metric represents your “blue sky” opportunity—the maximum revenue potential if you captured 100% of your market. Learn how to leverage TAM to refine your sales and business strategy. What Is Total Addressable Market (TAM)? TAM refers to the total demand for your product or service, measured either by the number of potential customers or the total revenue opportunity. It defines the full scope of your business opportunity. Why TAM Matters TAM vs. SAM vs. SOM: Key Differences While TAM represents the entire market, Serviceable Addressable Market (SAM) and Serviceable Obtainable Market (SOM) refine it into realistic targets: Example: From TAM to SOM Suppose you sell baseball bats in the U.S.: This breakdown helps prioritize growth strategies, such as expanding distribution or increasing production. How to Calculate TAM Basic Formula: TAM = Total Potential Customers × Average Revenue Per User (ARPU) Calculation Methods: TAM Calculation Examples 1. Software Company 2. Lemonade Stand 3. Pizzeria Expansion Common TAM Calculation Challenges & Solutions ✅ Overestimating TAM → Narrow focus using realistic customer segments.✅ Outdated Data → Re-evaluate TAM quarterly or annually.✅ Lack of Market Research → Use related industry data or pilot sales metrics. Using TAM in Strategic Planning Final Thoughts TAM helps quantify opportunities, prioritize investments, and scale effectively. Use sales planning tools to track progress and adjust strategies as markets evolve. By mastering TAM, you unlock data-driven growth—ensuring every business move aligns with real market potential. 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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May 23, 2025in Data0 Comments
Agentic AI Race
22May

The Evolution Beyond AI Agents

The Evolution Beyond AI Agents: What Comes Next? The Rapid Progression of AI Terminology The landscape of artificial intelligence has undergone a remarkable transformation in just three years. What began with ChatGPT and generative AI as the dominant buzzwords quickly evolved into discussions about copilots, and most recently, agentic AI emerged as 2024‘s defining concept. This accelerated terminology cycle mirrors fashion industry trends more than traditional technology adoption curves. Major players including Adobe, Qualtrics, Oracle, OpenAI, and Deloitte have recently launched agentic AI platforms, joining earlier entrants like Microsoft, AWS, and Salesforce. This rapid market saturation suggests the industry may already be approaching the next conceptual shift before many organizations have fully implemented their current AI strategies. Examining the Staying Power of Agentic AI Industry analysts present diverging views on the longevity of the agentic AI concept. Brandon Purcell, a Forrester Research analyst, acknowledges the pattern of fleeting AI trends while recognizing agentic AI’s potential for greater staying power. He cites three key factors that may extend its relevance: Klaasjan Tukker, Adobe’s Senior Director of Product Marketing, draws parallels to mature technologies that have become invisible infrastructure. He predicts agentic AI will follow a similar trajectory, becoming so seamlessly integrated that users will interact with it as unconsciously as they use navigation apps or operate modern vehicles. The Automotive Sector as an AI Innovation Catalyst The automotive industry provides compelling examples of advanced AI applications that transcend current “agentic” capabilities. Modern autonomous vehicles demonstrate sophisticated AI behaviors including: These implementations suggest that what the tech industry currently labels as “agentic” may represent only an intermediate step toward more autonomous, context-aware systems. The Definitional Challenges of Agentic AI The technology sector faces significant challenges in establishing common definitions for emerging AI concepts. Adobe’s framework describes agents as systems possessing three core attributes: However, as Scott Brinker of HubSpot notes, the term “agentic” risks becoming overused and diluted as vendors apply it inconsistently across various applications and functionalities. Interoperability as the Critical Success Factor For agentic AI systems to deliver lasting value, industry observers emphasize the necessity of cross-platform compatibility. Phil Regnault of PwC highlights the reality that enterprise environments typically combine solutions from multiple vendors, creating integration challenges for AI implementations. Three critical layers require standardization: Without such standards, organizations risk creating new AI silos that mirror the limitations of legacy systems. The Future Beyond Agentic AI While agentic AI continues its maturation process, the technology sector’s relentless innovation cycle suggests the next conceptual breakthrough may emerge sooner than expected. Historical naming patterns for AI advancements indicate several possibilities: As these technologies evolve, they may shed specialized branding in favor of more utilitarian terminology, much as “software bots” became normalized after their initial hype cycle. The automotive parallel suggests that truly transformative AI implementations may become so seamlessly integrated that their underlying technology becomes invisible to end users—the ultimate measure of technological maturity. Until that point, the industry will likely continue its rapid cycle of innovation and rebranding, searching for the next paradigm that captures the imagination as powerfully as “agentic AI” has in 2024. 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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May 22, 2025in Agentic AI, Artificial Intelligence, Data, Enterprise, Generative AI, Salesforce, Technology0 Comments
agetnforce for nonprofits
22May

AgentForce Flex Pricing

Salesforce Introduces Flexible Pricing for Agentforce to Accelerate AI Adoption Across Enterprises Salesforce, the global leader in AI-powered CRM, last week announced a new flexible pricing model for Agentforce, its digital labor platform, designed to meet surging demand for AI-driven automation across every employee, department, and business process. As AI adoption accelerates, CIOs face mounting pressure to balance innovation with cost control. According to Salesforce’s CIO AI Trends research, 90% of IT leaders say managing AI expenses is hindering their ability to drive value—a challenge underscored by recent findings from CIO.com. To address this, Salesforce is introducing three groundbreaking pricing innovations that empower businesses to scale AI adoption efficiently, align costs with outcomes, and adapt investments as needs evolve: 1. Flex Credits: Pay Only for the AI Actions You Use Moving beyond traditional per-conversation pricing, Salesforce now offers Flex Credits, a consumption-based model where customers pay only for the specific AI actions performed—whether updating records, automating workflows, or resolving cases. 2. Flex Agreement: Shift Investments Between Human & Digital Labor The new Flex Agreement allows organizations to dynamically reallocate budgets—converting user licenses into Flex Credits (or vice versa)—ensuring optimal resource allocation as business priorities shift. 3. Agentforce User Licenses & Add-Ons: Unlimited AI for Every Employee Salesforce is simplifying AI adoption with per-user-per-month (PUPM) pricing, offering unlimited employee-facing AI agent usage. Seamlessly integrated with Salesforce and Slack, these licenses eliminate usage caps, enabling businesses to deploy AI at scale across sales, service, HR, and IT. Industry & Customer Reactions Availability & Pricing With this move, Salesforce reinforces its commitment to making AI accessible, scalable, and cost-effective for enterprises worldwide. 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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May 22, 2025in Agentforce Platform, AI Tools, Artificial Intelligence, Enterprise, Generative AI0 Comments
salesforce service assistant
21May

Salesforce Service Assistant

Salesforce Service Assistant is a new skill within Agentforce. It’s an AI-powered agent designed to assist human service reps in resolving cases and improving customer experiences. Service Assistant leverages Agentforce’s generative AI capabilities and is grounded in unique data from Salesforce. It helps agents by generating case summaries and actionable resolution steps.  In simpler terms: Salesforce has created a new AI assistant called “Service Assistant” that’s part of their Agentforce platform. This assistant helps service reps handle cases more efficiently by using AI to analyze data and provide guidance. Here’s a more in depth look at what Service Assistant does: 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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May 21, 2025in Agentforce Platform, Data, Generative AI, Google, Salesforce0 Comments
Salesforce
20May

Salesforce Go

Introducing Salesforce Go: Your One-Stop Hub for Discovering & Enabling Features Salesforce is making it easier than ever for admins to explore, set up, and manage features with Salesforce Go—a new, intuitive experience designed to simplify feature discovery and configuration. No more hunting through menus—Salesforce Go puts everything you need in one place, helping you: ✅ Quickly find and evaluate new features✅ Understand setup steps before enabling them✅ Access relevant tools and documentation in context Best of all? No activation needed—it’s automatically available in your org! How It Works Who Can Use It? Why You’ll Love It 🔹 Save time – No more jumping between Setup and Help docs.🔹 Make informed decisions – Watch demos, explore Trailhead modules, and share resources with stakeholders.🔹 Monitor usage – Track adoption and manage licenses (where applicable). Now Live – With More Enhancements Coming! Salesforce Go is already rolling out, with new improvements in Spring ‘25, including deeper usage analytics and streamlined purchasing for add-ons (via Your Account). Ready to explore? Open Salesforce Go today and unlock the full power of your Salesforce org! 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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May 20, 2025in Enterprise, Salesforce0 Comments
Salesforce prompt builder
19May

Mastering Agentforce

Mastering Agentforce: How to Supercharge Salesforce with AI-Powered Prompts Unlocking the Power of Agentforce Salesforce’s Agentforce is transforming how businesses automate marketing and sales—using generative AI to handle repetitive tasks, respond to prospect behavior in real time, and drive smarter strategies with less effort. But to fully leverage Agentforce, you need to master prompt engineering—the art of crafting effective AI instructions. (Don’t let the term “engineering” intimidate you—it simply means writing clear, structured prompts!) AI Prompts 101: The Key to Personalized Automation An AI prompt is a detailed instruction that guides Salesforce’s large language model (LLM) to generate relevant, business-specific responses. Why Prompts Matter Introducing Salesforce Prompt Builder Prompt Builder is Agentforce’s central hub for creating, managing, and applying reusable prompt templates across your AI Agents. How It Works 3 Types of Prompt Templates Step-by-Step: How to Use Prompt Builder 1. Get Access 2. Open Prompt Builder 3. Craft Your Prompt Every effective prompt should include:✅ Who’s involved? (Roles, relationships, data)Example: “You are a marketer named {!user.firstname} writing to {!account.name}, a potential customer.” ✅ Context (Tone, style, language)Example: “Write a professional yet conversational email in British English.” ✅ Goal (What should the AI accomplish?)Example: “Persuade {!account.name} to book a 15-minute intro call.” ✅ Constraints (Word limits, data boundaries)Example: “Keep under 300 words. Avoid jargon and unsupported claims.” 📌 Pro Tip: Draft prompts in a separate doc first for easy editing. 4. Test & Refine Before going live:✔ Verify responses match your goals & brand voice.✔ Check for bias, errors, or inconsistencies.✔ Fine-tune by adding more context or rephrasing. 5. Deploy Activate your prompt for use in: Why This Changes Everything With Agentforce + Prompt Builder, Salesforce users can:🚀 Scale hyper-personalized outreach without manual work.🤖 Automate repetitive tasks while maintaining brand consistency.📈 Drive higher ROI with AI that adapts to real-time data. Ready to transform your Salesforce automation? Start engineering smarter prompts 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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May 19, 2025in Data, Generative AI, Salesforce0 Comments
Informatica, Agentforce, and Salesforce
16May

Informatica, Agentforce, and Salesforce

Informatica and Salesforce Deepen AI Partnership to Power Smarter Customer Experiences Las Vegas, [May, 2025] – At Informatica World, Informatica (NYSE: INFA) announced an expanded collaboration with Salesforce to integrate its Intelligent Data Management Cloud (IDMC) with Salesforce Agentforce, enabling enterprises to deploy AI agents fueled by trusted, real-time customer data. Bringing Trusted Data to AI-Powered Workflows The integration centers on Informatica’s Master Data Management (MDM), which distills fragmented customer data into unified, accurate “golden records.” These records will enhance Agentforce AI agents—used by sales and service teams—to deliver: “Data is foundational for agentic AI,” said Tyler Carlson, SVP of Business Development at Salesforce. “With Informatica’s MDM, Salesforce customers can ground AI interactions in high-quality data for more targeted service and engagement.” Key Capabilities (Available H2 2025 on Salesforce AppExchange) “This is about action, not just insights,” emphasized Rik Tamm-Daniels, GVP of Strategic Ecosystems at Informatica. “We’re embedding reliable enterprise data directly into Agentforce to drive measurable outcomes.” Why It Matters As AI agents handle more customer interactions, data quality becomes critical. This partnership ensures Agentforce operates on clean, governed data—reducing hallucinations and bias while improving relevance. The MDM SaaS tools for Agentforce will enter pilot testing soon, with general availability slated for late 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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May 16, 2025in Agentic AI, Data, Enterprise, Salesforce0 Comments
Tableau Next
16May

Tableau Next: The Autonomous Future of Analytics

The way businesses harness data is undergoing a revolution—one where AI-driven insights seamlessly integrate with human decision-making. Tableau Next, the next evolution of Tableau powered by the Salesforce Platform and deeply integrated with Agentforce, is leading this transformation. With AI agents embedded directly into analytics workflows, Tableau Next delivers proactive, predictive, and actionable insights—helping organizations make faster, smarter decisions from trusted, unified data. 👉 Watch the Demo: See Tableau Next in Action What is Tableau Next? Tableau Next is the first agentic analytics platform, combining self-service analytics with AI-driven automation to deliver insights where you work. Built on the Salesforce Platform, it offers: ✅ Modular, composable analytics – Reusable components, AI-powered semantics, and consistent data across every workflow.✅ Embedded AI agents – Tableau Agent and Tableau Pulse work together to surface intelligent insights in real time.✅ Trusted, governed data – A unified metadata framework ensures accuracy and transparency.✅ Scalable, secure infrastructure – Powered by Data Cloud and Zero Copy Partner Network for seamless, cost-effective data integration. This isn’t just analytics—it’s autonomous intelligence that evolves with your business. Why Tableau Next? 1. AI Agents Bring Insights Where You Work Most companies struggle with insight overload—critical data gets buried in dashboards, lost in reports, or ignored because it doesn’t fit into daily workflows. Tableau Next changes that by:🔹 Pushing AI-driven insights directly into your workflow—no searching required.🔹 Forecasting trends with predictive and generative AI.🔹 Automating actions—so every team, from analysts to executives, can act faster. 2. Tableau Semantics: Trusted, Context-Rich Data Bad data leads to bad decisions. Tableau Next ensures every insight is grounded in accurate, contextualized data with:🔹 AI-enriched metadata – Business meaning is built into every dataset.🔹 Full data lineage – See where data comes from and how it’s processed.🔹 Consistent business language – No more confusion over metrics or KPIs. 3. Real-Time, Scalable Data Without the Headache Data today is scattered, siloed, and expensive to manage. Tableau Next solves this by:🔹 Connecting to any source—without moving or duplicating data (thanks to Zero Copy Partner Network).🔹 Unifying customer data with Salesforce Data Cloud.🔹 Scaling securely—built on the most trusted platform in enterprise SaaS. 4. Reusable, Composable Analytics for Maximum Flexibility Why rebuild the same dashboards and models repeatedly? Tableau Next introduces:🔹 A marketplace for sharing and discovering reusable analytics assets.🔹 API-driven extensibility—embed analytics into any third-party app.🔹 Custom AI agents tailored to your business needs. The Future of Analytics is Here For 20+ years, Tableau has set the standard for intuitive, powerful analytics. Now, Tableau Next takes it further—integrating AI, automation, and trusted data into every workflow. 🚀 Want to experience it today? Many Tableau Next features are already available in Tableau+, including:✔ Data Cloud for unified data modeling✔ Tableau Semantics for business context✔ Tableau Pulse for personalized metrics✔ Tableau Agent for AI-powered analytics The era of autonomous analytics has arrived. Are you ready? 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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May 16, 2025in Data, Enterprise, Generative AI, Salesforce, Salesforce Data Cloud0 Comments
AI evolves with tools like Agentforce and Atlas
13May

Salesforce Doubles Down on Agentic AI to Transform Partner Ecosystem

Salesforce is making a major push into agentic artificial intelligence with its newest offering, Agentforce for Partner Community, now integrated directly into the Salesforce Partner Community platform, according to Channel Futures. Lynne Zaledonis, EVP of Customer Success and Partner Marketing at Salesforce, hailed the tool as a “game-changing innovation” that enables consulting and systems integrator partners to tap into round-the-clock AI support, streamline operations, and accelerate case resolution through real-time conversational assistance. Unlike traditional chatbots, Agentforce doesn’t just fetch technical and programmatic answers—it can also execute actions, such as extending Trial Orgs. By tackling workflow inefficiencies and breaking down data silos, Salesforce aims to equip partners with the tools needed to guide clients through every stage of AI adoption, from initial assessment to full implementation. As consulting partners roll out Agentforce, Zaledonis noted that this shift toward AI-driven operations is reshaping business models and demanding new skill sets. To support partners in this transition, Salesforce is rolling out workshops, certifications, and strategic playbooks—helping them adapt, monetize, and spearhead the move toward an AI-powered future. 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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May 13, 2025in Agentforce Platform, Agentic AI, Artificial Intelligence, Data, Salesforce0 Comments
Next-Gen Fundraising: How Salesforce Empowers Nonprofits of All Sizes
13May

Next-Gen Fundraising: How Salesforce Empowers Nonprofits of All Sizes

Personalized donor engagement has always been the cornerstone of successful fundraising. Building meaningful connections—tailored to individual interests and giving histories—drives generosity and loyalty. Yet, scaling this level of personalization has been a persistent challenge for nonprofits. Enter Salesforce, the world’s leading CRM, now transforming nonprofit fundraising with AI-driven insights, automation, and hyper-personalized engagement. By unifying donor data and leveraging cutting-edge technology, Salesforce empowers organizations—from grassroots initiatives to large institutions—to deepen relationships and maximize impact. Here’s how Salesforce is revolutionizing nonprofit fundraising: 1. Unified Donor Intelligence Salesforce consolidates donor data from giving history, event attendance, email interactions, advocacy actions, and more into a single, actionable profile. No more siloed spreadsheets—just a 360-degree view of every supporter. 2. AI-Powered Fundraising Salesforce Einstein AI analyzes donor behavior to:✔ Predict future giving potential✔ Identify major gift prospects✔ Recommend personalized engagement strategies 3. Automated, Personalized Outreach From targeted emails to tailored event invites, Salesforce automates communications that resonate—boosting engagement and increasing repeat donations. Scalable for Nonprofits of Any Size Whether you’re a small local charity or a national organization, Salesforce grows with you. Its flexible, cloud-based platform ensures you always have the right tools to meet—and exceed—your fundraising goals. How to Get Started with Salesforce 1. Identify Your Fundraising Pain Points 2. Prepare Your Data Start with a lean migration (e.g., last 3-5 years of giving history). You can always add more later. 3. Implement Core Features Begin with essentials:✔ Donation tracking✔ Moves management✔ Automated reporting 4. Integrate with Existing Tools Connect Salesforce to your:✔ Website✔ Email marketing✔ Event & volunteer management systems 5. Leverage Automation Reduce manual work with automated workflows, acknowledgments, and follow-ups. 6. Train Your Team Salesforce offers extensive training resources—take advantage to maximize adoption. Take Your Fundraising to the Next Level 1. Advanced Donor Segmentation Go beyond basic filters. Use engagement analytics (email opens, event attendance, website behavior) to create dynamic, AI-refined segments. 2. Predictive Analytics with Einstein AI 3. Smarter Email Marketing ✔ Personalize content beyond just names✔ Automate journeys (welcome series, re-engagement campaigns)✔ Track performance in real time 4. Optimize the Donor Lifecycle Map each stage—from first-time donor to loyal advocate—and identify areas to improve retention. 5. Personalized Digital Experiences Integrate Salesforce with your website to customize donation forms, CTAs, and content based on donor profiles. Tectonic: Your Salesforce Fundraising Partner As certified Salesforce nonprofit experts, Tectonic helps organizations unlock the platform’s full potential. We provide: ✔ Custom Salesforce strategy tailored to your goals✔ Seamless implementation & integration✔ Ongoing training & support✔ Expert guidance on AI & automation Partner with Tectonic today and transform your fundraising with Salesforce. Ready to elevate your donor engagement? Contact us to get started. 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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May 13, 2025in Data, Salesforce, Salesforce Development Services, Salesforce for Nonprofits, Salesforce Optimization, Salesforce Personalization, Technology0 Comments
Sales Enablement
12May

Salesforce’s Top Sales Enablement Tools

The 9 Best Sales Enablement Tools for 2025 Based on original research by Erin Hueffner, Writer at Salesforce Sales enablement software has become a must-have for high-performing sales teams. According to the Salesforce State of Sales report, adoption surged 48% in 2024, with 75% of reps crediting these tools for helping them meet quotas. But with so many options, how do you choose the right one? Below, we break down the top 9 sales enablement platforms—ranked by features, user ratings, and real-world impact. What Is Sales Enablement Software? Sales enablement tools help teams:✅ Train & onboard reps faster✅ Organize sales content (playbooks, case studies, scripts)✅ Track performance with CRM-linked analytics✅ Coach sellers with AI-driven insights The best platforms combine learning (LMS), content management (CMS), and CRM integration to drive measurable ROI. Who Uses Sales Enablement Tools? Key Benefits of Sales Enablement Software 🔹 Faster onboarding – Reduce ramp time for new hires.🔹 Higher win rates – AI recommends best-performing content.🔹 Larger deal sizes – Data reveals upselling opportunities.🔹 Shorter sales cycles – Right content at the right time. The 9 Best Sales Enablement Tools for 2025 (Ranked by G2 & Capterra ratings, features, and real-world impact) 1. Salesforce Sales Cloud Best for: End-to-end CRM-powered enablement⭐ Rating: 4.4/5 (G2) | ✅ Top Feature: AI-powered coaching (Agentforce) 2. Seismic Best for: Enterprise content & training unification⭐ Rating: 4.5/5 (G2) | ✅ Top Feature: AI-generated learning paths 3. Highspot Best for: AI-driven content recommendations⭐ Rating: 4.6/5 (Capterra) | ✅ Top Feature: Highspot Copilot (AI coaching) 4. Mindtickle Best for: Data-backed sales coaching⭐ Rating: 4.7/5 (G2) | ✅ Top Feature: AI role-play simulations 5. HubSpot Sales Hub Best for: SMBs needing CRM + enablement⭐ Rating: 4.3/5 (G2) | ✅ Top Feature: Conversation intelligence 6. Showpad Best for: Visual, interactive sales content⭐ Rating: 4.5/5 (G2) | ✅ Top Feature: AI-powered pitch coaching 7. Demodesk Best for: Virtual sales teams⭐ Rating: 4.6/5 (Capterra) | ✅ Top Feature: AI meeting summaries 8. ClientPoint Best for: Proposal & contract automation⭐ Rating: 4.4/5 (Capterra) | ✅ Top Feature: AI assistant (Meg) 9. Lessonly by Seismic Best for: Rapid sales training⭐ Rating: 4.5/5 (G2) | ✅ Top Feature: Microlearning modules Key Features to Look For 🔎 AI-powered coaching (e.g., call analysis, role-play feedback)📂 Smart content management (searchable, version-controlled libraries)📊 CRM integration (tie training to deal outcomes)📈 Predictive analytics (flag at-risk deals & skill gaps) How to Choose the Right Tool Final Verdict Sales enablement tools are no longer optional—they’re competitive necessities. The right platform can:✔ Cut ramp time by 50%+✔ Boost win rates by 20%✔ Reduce content search time by 80% Top Pick for 2025? Need AI coaching? Mindtickle & Demodesk lead the pack. Ready to enable your team? The right tool could be the difference between missing quota and smashing targets. 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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May 12, 2025in Data, Enterprise, Salesforce, Salesforce Sales Cloud0 Comments
Agentic AI is Here
11May

How IT Leaders Are Deploying Agentic AI to Transform Business Workflows

The next wave of enterprise AI isn’t just about chatbots—it’s about autonomous agents that execute complex workflows end-to-end. Leading CIOs and CTOs are now embedding agentic AI across sales, customer service, finance, and IT operations to drive efficiency, accuracy, and scalability. “We’re not just automating tasks—we’re reimagining how work gets done,” says Kellie Romack, CDIO at ServiceNow. The momentum is undeniable: So where are the biggest impacts? Here’s how forward-thinking execs are deploying AI agents today. 🚀 Top Use Cases for Agentic AI 1. Supercharging Sales & Pipeline Growth “Agentic AI helps sales teams focus on high-potential clients while automating routine follow-ups.” — Jay Upchurch, CIO, SAS 2. Hyper-Personalized Customer Experiences “We cut student research time from 35 minutes to under 3—freeing advisors for deeper mentorship.” — Siva Kumari, CEO, College Possible 3. Self-Healing IT & Security Operations Gartner predicts AI will reduce manual data integration work by 60%. 4. Frictionless Back-Office Automation “We’re targeting repetitive, rules-based workflows first—like finance and procurement.” — Milind Shah, CTO, Xerox 🔑 Key Implementation Insights What’s Working ✅ Start with high-volume, repetitive tasks (e.g., ticket routing, data entry)✅ Prioritize workflows with clean, structured data✅ Use AI for augmentation—not replacement Biggest Challenges ⚠️ Data integration hurdles (55% of leaders cite this as #1 blocker)⚠️ Governance & compliance risks⚠️ Testing non-deterministic AI outputs “The real breakthrough comes when AI agents collaborate across systems—not just operate in silos.” — Kellie Romack, ServiceNow 🔮 The Future: From Assistants to Autonomous Decision-Makers Early adopters see agentic AI evolving in three phases: Salesforce, Microsoft, and IBM are already rolling out agentic frameworks—but only 11% of enterprises have full-scale adoption today. “Soon, thousands of AI agents will work in the background like a digital workforce—always on, always improving.” — Romack Your Move Where could agentic AI eliminate bottlenecks in your workflows? The most successful implementations: The question isn’t if you’ll deploy AI agents—but where they’ll drive the most value first. How is your organization experimenting with agentic AI? Share your insights below! 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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May 11, 2025in Agentic AI, Data, Enterprise, Salesforce, Snowflake0 Comments
Why AI Won't Kill SaaS
10May

Why AI Won’t Kill SaaS

Why AI Won’t Kill SaaS (Yet) – The Missing Link in Enterprise Intelligence The rise of generative AI has sparked speculation about the demise of SaaS—but the reality is more nuanced. While AI holds transformative potential, today’s enterprise software vendors still play a critical role: providing the structured context that AI lacks. The AI Accuracy Problem: Plausible vs. Precise Generative AI excels at producing human-like responses, but its probabilistic nature makes it unreliable for mission-critical enterprise tasks. Whether validating financial transactions, ensuring compliance, or executing safety protocols, businesses need deterministic accuracy—not just statistically likely answers. Why SaaS Isn’t Going Anywhere (For Now) AI won’t replace SaaS because raw data is meaningless without context. Just as Google’s PageRank used web links to rank authoritative sources, enterprise software provides the structured frameworks that make AI useful in business. How SaaS Vendors Are Bridging the Gap Leading enterprise platforms are codifying decades of institutional knowledge into AI-ready systems: As Rahul Auradkar (EVP, Salesforce) explains: “The intelligence of LLMs is just one piece. The real value comes from feeding them the right data, driving automations, and contextualizing insights—something SaaS platforms already do.” The Future: AI Absorbs SaaS Knowledge (Then Renders It Obsolete?) Today, AI relies on SaaS for grounding and governance. But what happens when LLMs develop their own “world models” of business? The Bottom Line AI won’t kill SaaS—it will consume it. Enterprise software’s structured knowledge is the training data for tomorrow’s autonomous agents. Once AI internalizes these systems, the need for traditional SaaS may fade. But for now, SaaS isn’t just surviving—it’s enabling AI’s evolution. The Takeaway: The real disruption isn’t AI replacing SaaS—it’s AI learning from it until it no longer needs to. 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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May 10, 2025in Data, Enterprise, Generative AI, Google, Salesforce0 Comments

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