On May 27, 2025, Salesforce officially confirmed the acquisition of Informatica for approximately $8 billion in cash, capitalizing on a valuation of $25 per share for the shares it did not already own.
The operation seeks to integrate Informatica’s capabilities in governance, quality, lineage, metadata, and Master Data Management (MDM) within the Salesforce ecosystem (Data Cloud, Agentforce, MuleSoft, Tableau) to strengthen its database as an engine for enterprise AI.
With this merger, Salesforce aims to create “the most complete, agent-ready data platform”—meaning its automated AI models can operate with greater confidence, context, and governance.
What Does This Imply for Companies Using Salesforce and AI Agents?
a) Reduction of Technical Friction and Compliance By integrating Informatica’s data management tools directly into the Salesforce stack, companies will be able to:
- Move data between systems with greater security and less technical friction.
- Feed AI models with clean, traceable, and governed data.
- Apply privacy, audit, and traceability policies with greater rigor.
In practice, this enables the deployment of AI agents that make decisions about customers with a lower risk of errors or unexpected biases.
b) Practical Opportunities
- Source Consolidation: Rethink the data catalog to eliminate silos and allow for more streamlined integrations.
- Better Governance: Define lineage, quality, access rules, and control policies for automated decisions.
- Accelerated Pilots: With pre-packaged tools, test use cases like scoring, recommendations, and predictive service without rebuilding the architecture from scratch.
- Human Oversight Layers: Maintain fallback controls to prevent autonomous agents from acting without verification in critical scenarios.
To Be Perfectly Honest: Technology Alone Isn’t Enough
Although the acquisition opens many doors, it does not replace the critical work each company must do:
- Existing data architectures have their own business rules, legacy systems, and dependencies requiring a tailored approach.
- Tasks such as pipeline migrations, Master Data Management (MDM) mapping, normalization, and cleansing remain complex tasks requiring experience.
- Furthermore, the general orchestration and governance of the data ecosystem must adapt to the corporate model, not simply shift tools.
This is why having a specialized partner—who can translate technological promise into a concrete value plan—remains crucial.
A Practical Path Forward
For companies already using Salesforce or planning to deploy AI agents with governance, a practical approach could include:
Conduct an initial diagnostic of data maturity and map existing silos.
Define high-value, low-risk pilot cases to test the Informatica + Agentforce integration.
Design governance playbooks, access rules, and audit processes.
Implement the pilot while measuring metrics such as error rate, escalation, service improvements, and ROI.
Scale gradually, adjusting the architecture and reinforcing data quality and controls.
As a provider, Intellect Systems can accompany you from this diagnostic phase, pilot design, and governance through to the safe scaling of the agent within your company.
Salesforce’s acquisition of Informatica is not simply another merger: it is a strategic move to strengthen its position in the era of AI applied to CRM. By integrating advanced data management capabilities, Salesforce takes a decisive step toward intelligent agents that are more reliable, governable, and secure.
For companies, this operation represents an opportunity: if you already use Salesforce or plan to deploy AI, you can now build on a stronger foundation. But success is not guaranteed simply by acquiring technology: it requires strategy, organization, governance, and execution adapted to the specific context of each business. Those who take advantage of this new reality with vision and responsibility will be able to turn this acquisition into a real competitive advantage.





