Speed the org can actually sign off on.
Copilot, Cursor, Claude Code, and a dozen custom scripts are already producing change across your repositories. None of it appears in your change-control system, your review metrics, or your audit trail — and the first person to notice will be an auditor or an incident.
One control plane above the coding agents your engineers already chose. We don’t ask them to switch tools.
None of this is a tooling complaint. It’s a governance gap that widens every sprint you don’t close it.
Engineers adopted agents individually, with individual prompts and individual habits. Your organization has no shared definition of what an agent may do or how its output gets verified.
Volume grew, reviewer capacity didn’t, and approvals started meaning “I saw this go by.” The metrics still look healthy, which is the dangerous part.
An AI usage policy with no runtime enforcement changes behavior for about two weeks, then becomes a document your team knows exists and nothing else.
ASE is the layer above the coding agents — not a replacement for them, and never a competitor to the tools your engineers like.
Implementer, reviewer, and approver are distinct roles with distinct scopes, models, and permissions. The control your org already requires of humans now applies to agents.
Approval gates map to the transitions your existing process already governs, so agentic work shows up in the same place as everything else.
Versioned definitions and reusable packs let a platform group set the standard once while individual teams keep their own stacks and harnesses.
Agent authority is issued through identity, not inherited from whoever’s workstation launched the run — with external IdP federation available at the higher tiers.
Nobody changes editors. Nobody gives up their agent CLI.
Harness catalogs run Claude Code, Codex, OpenCode, or local models. ASE governs the work, not the keystrokes.
A platform group encodes roles, scopes, gates, and compliance requirements as versioned definitions the whole org inherits.
Teams launch work against those definitions, with live supervision and independent verification running in parallel.
Runs, gates, approvals, and exceptions export into the audit and compliance artifacts your organization already consumes.
The question is never “which model wrote this.” It’s “can we stand behind it.”
Thirty minutes, your stack, your review standard — and the artifacts your organization would need at the end.
Elevate Your Vibe with ASE Precision.