Build governed agents where your data lives
PrivateFlow turns AI assistants into governed agents for regulated teams: scoped tools, human approval before risky writes, and reviewable evidence.
A governed agent runtime for regulated teams: stress-test agents before launch, then govern live actions with approval, cost visibility, and reviewable evidence in one production path.
Product headquartered in Zurich; data residency depends on deployment mode and configured external providers.
Define the agent. Scope the tools. Gate the action. Prove the run.
AI is entering sensitive work faster than teams can govern it.
The blockers are concrete: staff use shadow AI, agents need broad tool access, support drafts need citations and escalation, questionnaires need evidence, and RAG or document work needs proof before anyone trusts a governed agent in production.
Illustrative workflow showing how PrivateFlow turns a risky agent action into a reviewable operating record.
Where teams start:Governed agent action review . Private AI workspace . Regulated CX copilot . Evidence pack workflows
Turn urgent AI risks into governed agents and reviewable workflows.
PrivateFlow packages the same runtime controls for governed agents, action review, private AI workspaces, regulated support copilots, evidence packs, RAG accuracy, document intake, and cost-aware operations.
| Time | Actor | Action | Verdict |
|---|
[Download sample evidence export ->]Illustrative synthetic JSON for one governed workflow run
Sample evidence is illustrative. Production evidence depends on your workflow, policies, integrations, and deployment mode.
From use case to governed agent
Use the same governed-agent pattern for support copilots, evidence packets, document intake, RAG answers, and tool-using agents before any business system is touched.