You have the systems. Workday, Salesforce, ServiceNow, M365, the data warehouse, all there, all running, all in production. What you don't have is an operating layer that makes them act as one. Heidi sits across the stack as the hub: one shared brain, ACL-aware permissions, AI teammates that act inside every system, audit trails on everything.
Every function has run an AI POC. None of them have changed how the company operates. Pilots are easy; restructuring around AI is the hard work that hasn't started.
Permissions inherit from the source. ACLs travel with the data. Every action is logged. The legal and security teams have to be able to answer "what did the AI do, when, on whose authority" without a manual reconstruction.
Adopting AI in twenty systems means twenty rollouts, twenty trainings, twenty new dashboards. The actual cost is the human bandwidth to maintain it. The architecture has to do that work, not the people.
Heidi orchestrates specialist agents across Workday, Salesforce, ServiceNow, M365, Databricks, ServiceNow, SAP, and the proprietary systems that matter. MCP-native, so adding a system is an integration, not a project.
Every artifact carries its access rules. A signal extracted from an HR conversation is visible only to HR. A decision extracted from a leadership meeting is visible only to the leaders. The architecture enforces this; the policy describes it.
Every LLM call, every tool call, every run is logged and written to one outcome ledger, legal, security, and compliance get the answer to "what did the AI do, on whose authority" in seconds. And no agent acts beyond the tier you grant it on the trust ladder; every autonomous action stays reversible.
A campaign click in HubSpot becomes a routed lead in Salesforce, a deal note from Gong, an onboarding plan in Microsoft 365, an expansion signal back in ServiceNow. Heidi keeps every step linked to every account.
See the workflow →A ServiceNow ticket links to the Jira bug, the GitHub PR, the eval that validates the fix, the release note in Confluence, and the customer reply back through ServiceNow, drafted, sourced, and ready for your review.
See the workflow →Heidi reads progress across Jira, Salesforce, Databricks, and Slack against your OKRs. When something drifts, owners are nudged with context. Quarterly retros are drafted with patterns, not opinion.
See the workflow →Heidi captures every meeting that should be captured, extracts decisions and commitments, drafts the memo for the audiences who need it, and stores the outcome in Enterprise Cortex, searchable, sourced, ACL-aware.
See the workflow →Bring the version of this we'd run for you. We'll set Heidi up against a sandbox of your data and walk through your most important workflow inside the call.