Salesforce News vs Twenty
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.
Twenty's open-source CRM hits v2.5 while wiring AI agents and credit-metered billing into the workflow core.
Twenty is shipping fast on its v2.x line, with five releases across April and May pushing AI agents as first-class workflow nodes and rolling out a billing v2 that meters AI credit usage. The release cadence shows the cost of that ambition: a string of cross-version upgrade hotfixes, agent-node execution bugs, and modal-loading regressions has accompanied the new surface area. The team is leaning into incremental hotfixes (v2.5.0 to v2.5.3 within four days) rather than batching.
AI agents and credit-based metering are becoming structural to the product, not optional add-ons — the architecture is being reshaped to gate billing at AI entry points rather than per workflow step. Meanwhile the workspace migration runner keeps surfacing cascade-dependency bugs as the schema evolves, suggesting an underlying brittleness that will need a structural fix. The pattern is: new capability ships, upgrade paths break, hotfix lands.
Expect a consolidation release that hardens the workspace migration runner against cascading column dependencies — the recurring pattern of fixing this case-by-case (v2.5.0, then the band-aids in #20581/#20583) signals a refactor is overdue. AI agent capabilities will continue expanding as the credit-cap architecture matures.
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