Use case

Govern AI coding agents across your organization

Agent adoption is happening bottom-up, ungoverned. Skaftor gives you one control plane where agent work is dispatched from structured intent, gated, and recorded — turning shadow AI into auditable delivery.

The situation

Every team uses coding agents differently, with no standard, no visibility, and no audit trail. That's a governance blind spot your security and compliance teams can't see — shadow AI in the SDLC.

How Skaftor does it

Step 1

Dispatch work from structured intent

Instead of ad hoc prompts, agents receive work orders compiled from approved requirements — scoped, with acceptance criteria and full execution context.

  • Per-project MCP server for all agents
  • Work orders replace vague prompts
Step 2

Gate every change

Approval gates and automated checks — blast radius, drift, release confidence — block progression until conditions are met, producing an audit trail of who approved what and why.

  • Enforced gates with audit trail
  • RBAC and SSO/SAML access control
Step 3

Observe and standardize

Central visibility into agent work, plus reusable templates, so good patterns spread and nothing happens off the record.

What you get
  • Shadow AI becomes governed, observable delivery.
  • An auditable trail from intent to production for every change.
  • One standard for agent usage across every team.

Capabilities behind this

Frequently asked questions

How do you govern AI coding agents without slowing developers down?

Give agents a governed home rather than banning them: dispatch work over one MCP control plane, gate changes with automated checks and approvals, and record everything. Developers keep their tools and speed; the organization gets standardization, visibility, and an audit trail.

Related

Last updated July 28, 2026 · https://skaftor.com/use-cases/govern-ai-coding-agents