Salesforce’s AI Power Duo: Unlocking Unprecedented Intelligence with Informatica and Convergence.ai

by | May 29, 2025 | Artificial Intelligence, Convergence.ai, Data Cloud, Informatica, Salesforce

What Salesforce's Latest Acquisitions Mean for Enterprise AI and Ad Sales Transformation

Beyond Buzzwords: What Salesforce’s Latest Acquisitions

Mean for Enterprise AI and Ad Sales Transformation

The enterprise technology landscape has been abuzz with Salesforce’s recent strategic moves. First, the acquisition of Convergence.ai, an AI agent company specializing in human-like adaptability in digital workflows. Then, just weeks later, the monumental announcement of the $8 billion acquisition of Informatica, a long-standing leader in enterprise cloud data management. As consultants deeply immersed in the Salesforce ecosystem and the broader tech trends, we understand that for many, these announcements might seem like complex, disparate events. But when viewed together, they reveal a profound, meticulously planned vision for the future of enterprise AI.

This isn’t just about adding new tools to a portfolio; it’s about fundamentally reshaping what Salesforce’s AI capabilities, particularly Agentforce and Data Cloud, can achieve. It’s about moving beyond AI as a helpful assistant to AI as an autonomous, trustworthy, and highly effective business driver. And for sectors like ad sales and retail media, the implications are nothing short of transformative.

The AI Capability Salesforce Didn’t Have (Until Now)

Before these strategic acquisitions, Salesforce, while a CRM powerhouse with growing AI ambitions, faced inherent challenges in delivering truly autonomous, enterprise-grade AI. The limitations stemmed from two critical areas:

1. The Data Trust Deficit: Salesforce’s growth, fueled by numerous acquisitions over the years, naturally led to a fragmented data landscape. While Data Cloud was making strides in unifying customer data, the sheer volume, variety, and often inconsistent nature of enterprise data across disparate systems posed a significant hurdle. For AI to be reliable and responsible, it needs a “trusted data foundation”. Without robust data quality, governance, and comprehensive metadata management, AI outputs can be unreliable, leading to poor decisions and a loss of trust. This was a gap that even Salesforce’s existing capabilities couldn’t fully bridge at the scale required for truly autonomous AI.

2. The Adaptability Gap for AI Agents: Salesforce’s Agentforce platform was designed for AI agents to plan, reason, and take action. However, the real world is messy. Digital interfaces change, unexpected errors occur, and workflows are rarely perfectly linear. The ability for AI agents to navigate these dynamic, unpredictable environments with human-like adaptability – to perceive, reason, and adapt on the fly – was a complex challenge. Traditional automation often falters when faced with such variability.

This is where the strategic pairing of Informatica and Convergence.ai steps in, offering a powerful, synergistic solution that unlocks unprecedented AI capabilities for Salesforce.

Informatica: The Unshakeable Foundation of Trusted Data

Informatica is the answer to the “data trust deficit.” For decades, Informatica has been the gold standard in data integration, data quality, data governance, metadata management, and Master Data Management (MDM). Its core strength lies in centralizing metadata to classify, secure, and ensure the reliability of information across an entire enterprise.

As Salesforce CEO Marc Benioff has emphasized, “AI agents are only as good as your data”. Informatica ensures that the data feeding AI models is accurate, consistent, auditable, and contextually rich. It cleanses, unifies, and governs data from disparate sources, including those from Salesforce’s numerous past acquisitions, effectively making the entire data estate “AI ready”. This is the bedrock of trustworthy AI, providing the fuel and the map for intelligent agents.

Convergence.ai: Adaptive Intelligence for Real-World Action

Complementing Informatica, Convergence.ai addresses the “adaptability gap.” This company specializes in advanced AI agents that can perform complex, human-like tasks in dynamic digital environments. Their technology allows AI agents to navigate unpredictable interfaces, adapt to real-time challenges like pop-ups or UI changes, and execute multi-step processes with human-like problem-solving capabilities.

While Informatica ensures the data is pristine, Convergence.ai ensures the AI agents can effectively use that data in the messy, unpredictable real world. It moves Salesforce beyond simple “copilot” tools to truly autonomous agents that can perceive, reason, and adapt to the complexities of modern digital workflows.

The Synergistic Power: Agentforce and Data Cloud Unleashed

The combination of Informatica and Convergence.ai creates a comprehensive, end-to-end AI solution that was previously beyond Salesforce’s reach. This isn’t just an incremental improvement; it’s a fundamental shift in what’s possible for Agentforce and Data Cloud:

Supercharging Agentforce: Agentforce is Salesforce’s platform for autonomous AI agents. Agents need three things to get work done: data, reasoning, and actions.

      • Data: Informatica ensures Agentforce agents have access to the cleanest, most comprehensive, and most trusted data from across the entire enterprise, not just within Salesforce’s native clouds. This includes rich metadata that allows agents to understand the context of business data and available actions.
      • Reasoning & Actions: Convergence.ai enhances Agentforce’s ability to reason and take action in dynamic environments. It enables agents to adapt to changing conditions, plan complex multi-step tasks, and execute them autonomously with a new level of resilience. This means Agentforce can now automate more complex processes like modifying orders, scheduling appointments, or processing returns without constant human intervention.

Strengthening Data Cloud: Informatica significantly bolsters Data Cloud’s leadership as a Customer Data Platform (CDP). It ensures that data unified within Data Cloud is not just aggregated, but also clear, trusted, and actionable. This robust, high-quality data foundation is indispensable for feeding Agentforce and other AI models, ensuring they produce accurate and personalized insights for a true Customer 360 view.

This strategic pairing means Informatica provides the reliable, governed data (the “what”), and Convergence.ai provides the adaptive intelligence and execution capabilities (the “how”). This allows Salesforce to build a “system of intelligence on a trusted system of understanding,” enabling AI agents to operate safely, responsibly, and at scale.

Not a Shift Away from MuleSoft, But Profound Augmentation

A common question arising from these acquisitions is whether they signal a strategic shift away from MuleSoft. The answer is a resounding no. Instead, this is a profound augmentation of MuleSoft’s capabilities.

  • MuleSoft’s Role: MuleSoft is the enterprise’s digital highway for API-led connectivity, real-time application integration, and process automation. It excels at building reusable APIs and facilitating seamless, real-time communication between diverse applications and devices. It’s about moving data and orchestrating workflows between systems.
  • Informatica’s Role: Informatica is fundamentally data-centric, focusing on comprehensive data integration (especially ETL), robust data quality, rigorous data governance, and Master Data Management (MDM). It’s about preparing, cleaning, and governing the data itself.  

In essence, MuleSoft builds the roads and manages the traffic (data flow). Informatica ensures the “goods” (data) being transported on those roads are clean, properly packaged, and trustworthy. It also provides the “maps” (metadata) so the drivers know where everything is. Convergence.ai provides the “intelligent drivers” (AI agents) who can navigate those roads, understand the maps, and handle unexpected detours to deliver the goods effectively. Informatica’s advanced data quality, integration, cataloging, and governance will ensure that data flowing through MuleSoft APIs is not just connected, but also enriched, standardized, and trustworthy. This creates a “reliable stream ready to fuel AI-powered decisions and actions across the enterprise”.

Not a Shift Away from MuleSoft, But Profound Augmentation

A common question arising from these acquisitions is whether they signal a strategic shift away from MuleSoft. The answer is a resounding no. Instead, this is a profound augmentation of MuleSoft’s capabilities.

  • MuleSoft’s Role: MuleSoft is the enterprise’s digital highway for API-led connectivity, real-time application integration, and process automation. It excels at building reusable APIs and facilitating seamless, real-time communication between diverse applications and devices. It’s about moving data and orchestrating workflows between systems.
  • Informatica’s Role: Informatica is fundamentally data-centric, focusing on comprehensive data integration (especially ETL), robust data quality, rigorous data governance, and Master Data Management (MDM). It’s about preparing, cleaning, and governing the data itself.  

In essence, MuleSoft builds the roads and manages the traffic (data flow). Informatica ensures the “goods” (data) being transported on those roads are clean, properly packaged, and trustworthy. It also provides the “maps” (metadata) so the drivers know where everything is. Convergence.ai provides the “intelligent drivers” (AI agents) who can navigate those roads, understand the maps, and handle unexpected detours to deliver the goods effectively. Informatica’s advanced data quality, integration, cataloging, and governance will ensure that data flowing through MuleSoft APIs is not just connected, but also enriched, standardized, and trustworthy. This creates a “reliable stream ready to fuel AI-powered decisions and actions across the enterprise”.

Transforming Ad Sales: A Concrete Example

For media companies and those in the burgeoning retail media space, this combined power is a game-changer for ad sales. Imagine the following scenario:

An ad sales team at a major retail media network needs to launch a highly personalized campaign for a new product line, targeting specific customer segments across multiple digital channels.

1. Data Unification & Trust (Informatica + Data Cloud): Customer data from various sources – CRM, e-commerce transactions, loyalty programs, in-store purchases, website browsing behavior, ad impressions, and campaign performance metrics – is ingested and unified by Informatica. It cleanses duplicates, resolves identities, and applies robust data governance rules, ensuring a single, trusted 360-degree view of each customer. This high-fidelity data then populates Salesforce Data Cloud, creating real-time, actionable customer segments.

2. Intelligent Campaign Optimization (Agentforce powered by Convergence.ai): An Agentforce AI agent, leveraging the trusted data in Data Cloud, is tasked with optimizing the campaign.

Perceive: The agent continuously monitors real-time campaign performance across all channels (e.g., ad clicks, conversions, impressions, cost-per-acquisition) and cross-references it with the unified customer data. It identifies that a particular ad creative is underperforming for a specific demographic segment, or that a new, high-value customer segment is emerging based on recent purchase patterns.

Reason: The agent analyzes the data, identifies the root cause (e.g., creative fatigue, mis-targeting, competitor activity), and formulates a plan. It might determine that a new ad copy is needed, or that budget should be reallocated to a different channel or audience.

Act (Adaptively): Here’s where Convergence.ai’s magic comes in. The agent doesn’t just suggest; it acts. It navigates the complex UIs of various ad platforms (e.g., Google Ads, Meta Ads Manager, retail media DSPs), automatically adjusting bidding strategies, reallocating budget, or even generating new, personalized ad copy variations (leveraging generative AI) and deploying them. If it encounters a pop-up, a broken link, or a UI change on an ad platform, Convergence.ai’s adaptive intelligence allows it to overcome these obstacles and complete the task without human intervention. It can also proactively alert the human ad sales team to significant shifts or new opportunities, providing context-aware recommendations.

3. Seamless Connectivity (MuleSoft): Throughout this entire process, MuleSoft ensures the seamless, real-time flow of data between all these disparate ad tech systems (DSPs, SSPs, ad servers, CRM, CDP) and Salesforce’s platform. It’s the connective tissue that allows Informatica to ingest data, Data Cloud to unify it, and Agentforce to act on it across the entire ad sales ecosystem.

This integrated approach means ad sales teams can move from reactive adjustments to proactive, intelligent, and autonomous campaign optimization, driving unprecedented efficiency, scalability, and ROI.

The Path Forward: A Call to Action for Your AI Strategy

Salesforce’s acquisitions of Informatica and Convergence.ai are not just headlines; they are a clear declaration of intent to lead the next wave of enterprise AI. They signal a future where AI agents are not just intelligent but also trustworthy, adaptable, and capable of driving complex business processes with minimal human oversight. This is the strategic advantage Salesforce is pursuing, and it promises to unlock unprecedented efficiency and intelligence for its customers.

For organizations navigating this rapidly evolving landscape, understanding how to optimally leverage these powerful new capabilities, integrate them seamlessly with existing Salesforce and MuleSoft deployments, and define the most impactful use cases for autonomous AI agents requires specialized expert guidance.

At V2 Strategic Advisors, our team of strategists specializes in helping companies navigate these intricate tech stacks, optimize their data and AI strategies, and drive efficiency and scalability, particularly in dynamic areas like ad sales and retail media. We are actively working across the ad sales landscape, helping teams take this leap into strategic action.

Building Trust Starts With A Conversation.

Whether your organization is questioning how to integrate these new capabilities, seeking to understand their impact on your specific business processes, or analyzing what this means for your overall AI roadmap, our team is equipped to provide clarity and actionable recommendations.

To explore what these transformative acquisitions mean for your organization and to gain guidance on how to best leverage these powerful new capabilities, please reach out to our team of strategists at V2 Strategic Advisors


For a deeper dive into each individual acquisition, please refer to our dedicated blog posts:

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