Governance

AI agents governed before they act.

Softworker gives every AI agent an assigned identity, scoped access, approval gates, policy checks, and an audit trail your teams can reconstruct.

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01 Identity
02 Policy
03 Approval
04 Audit
Runtime governance

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.

Identity Checked
Policy Enforced
Scope Limited
Approval Waiting
Audit Logged
Waiting at approval gate Audit record emitted Denied action blocked by policy
Identity and access

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.

Procurement agent Scoped

Allowed

Procurement workspace

DocuSign renewal folder

Vendor contract metadata

Blocked

HR workspace

Finance approvals

Admin settings

Approval required

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
Approve Reject Redirect
Approvals

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.

Audit and accountability

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.

Audit trail Complete
  1. 09:41

    Goal received from A. Mehta

  2. 09:42

    Plan generated - 4 steps, 1 approval gate

  3. 09:44

    Scope checked - Procurement + DocuSign only

  4. 09:49

    Policy blocked HR workspace access

  5. 10:02

    Approval requested for recommendation send

  6. 10:14

    Approved by D. Rao and logged to run record

Data and security posture

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.

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Build your first AI agent

Start with one workflow. Scale with control - policy, approvals, observability, and auditability in place from day one.