Governed AI agents you can assign, supervise, and audit.
You delegate an outcome. The AI agent plans the steps, connects to approved systems, requests sign-off where required, executes, and returns an auditable record.
Guardrails that act before anything happens.
A goal is checked against identity, policy, and scope before execution. Sensitive steps wait for approval. Every completed action emits an audit record.
Scoped credentials. No standing admin access.
Each AI agent operates under a defined identity with scoped credentials. It connects using OAuth or API keys you provision, with the minimum permissions necessary. Access is granted per task and revocable at any time.
Allowed
Procurement workspace
DocuSign renewal folder
Vendor contract metadata
Blocked
HR workspace
Finance approvals
Admin settings
- 09:41
Goal received from A. Mehta
- 09:42
Plan generated - 4 steps, 1 approval gate
- 09:44
Scope checked - Procurement + DocuSign only
- 09:49
Policy blocked HR workspace access
- 10:02
Approval requested for recommendation send
- 10:14
Approved by D. Rao and logged to run record
Every run can be reconstructed.
Every action is logged with full context: the goal, generated plan, approved steps, executed actions, and outcomes. For high-risk workflows, mandatory approvals before irreversible actions remove the category of silent mistakes.
Governed access to your stack.
An AI agent only touches the systems you approve, with the minimum permissions needed, granted per task and revocable at any time.
These are representative integration targets for early-access workflows, not a published catalog.
Send renewal recommendation to procurement
- Goal
- Prepare vendor renewal packet
- Evidence
- 18 documents, 4 systems, 2 pricing deltas
- Impact
- Recommendation will be sent to the vendor owner
The agent waits when it should.
When an AI agent reaches a step that requires human sign-off, it surfaces the proposed action, supporting evidence, and downstream impact. The approver can approve, reject, or redirect with a note.
Data stays inside the boundaries you configure.
Your data is processed only within the systems and boundaries you configure. We do not train foundation models on your data. Data accessed during a task is used only for that task and is subject to the retention and security controls you set.
We are pre-general-availability. Formal certifications such as SOC 2 are on our roadmap; we will publish them here as we earn them.
Build your first AI agent
Start with one workflow. Scale with control - policy, approvals, observability, and auditability in place from day one.