Salesforce News vs Planhat
Side-by-side trajectory, velocity, and editorial themes.
Salesforce is using Informatica to position itself as the cross-cloud data layer for every agentic AI deployment.
On May 20, Salesforce released a coordinated set of Informatica announcements: headless data management available on AWS, Microsoft Foundry/Fabric, and Google Cloud simultaneously, plus the industry's "first unified agent and context catalog" and autonomous data management agents (CLAIRE Agent skills, MCP servers in AWS Agent Registry). In parallel, Agentforce Life Sciences crossed 140 industry-leading customers including Chiesi, Moderna, and Merck Animal Health, and the U.S. Air Force/Space Force signed a $72M Enterprise License Agreement under the $5.6B IDIQ contract. The cadence is heavy enterprise-deal news plus a structural platform repositioning of the Informatica acquisition.
Salesforce is reframing Informatica from a legacy data integration business into the trusted-data substrate beneath every agentic AI workload — explicitly cross-cloud (AWS, Microsoft, Google) rather than Salesforce-only. The MCP servers in AWS Agent Registry signal a willingness to be useful inside competitor platforms. Agentforce is consolidating in regulated verticals (life sciences, federal) where Salesforce's compliance posture beats horizontal AI platforms. The combination is a serious enterprise agentic-AI play: data quality + agent orchestration + vertical depth.
Expect a SAP-side equivalent of the Informatica cross-cloud announcement and continued vertical Agentforce launches (financial services, retail, healthcare beyond life sciences). The next directional move is likely Informatica's catalog becoming the discovery layer for Agentforce agents themselves, not just data.
Planhat doubles down on automation — Portals, Task dependencies, AI steps, OAuth — for scaled CS ops.
Planhat's recent stream skews heavily toward automation infrastructure for customer-success teams. New advanced Task dependencies, automated end-to-end Portal setup, full execution logs for Automation Runs, and live company-field merge tags in Dashboards and Presentations all reduce the manual per-account work that defines mid-tier CSM tooling. OAuth connections enter Labs, replacing API-key plumbing for integrations.
The product is moving from a health-score-and-playbook CS platform toward a low-code automation backbone for customer-success orgs. Recent additions of frontier LLMs (Claude Sonnet/Opus 4.6, GPT 5.4) into AI Automation steps, combined with portal-creation building blocks, position Planhat as a CS workflow engine that runs without per-account human babysitting.
Expect more native AI step types (action-taking, deeper retrieval), OAuth graduating out of Labs into the standard integrations surface, and continued investment in automation observability — failure analytics, retry policies, version history.
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