For the CTO & Head of Engineering
Mault Governance
You said yes to AI coding agents. Governance is how you stay in control of what they write. Your standards become rules enforced deterministically at four independent checkpoints from keystroke to merge, with no LLM in the enforcement path and eight shipped agent roles. It governs the agents your developers already use, in the IDEs they already work in. No new runtime to adopt.
0.18% revert rate
4 enforcement checkpoints
No LLM in the path
Orchestration built in
The problem it kills
The more code AI writes, the less of it follows your standards.
Your engineers spend their days fixing code AI wrote in seconds
Every ungoverned line adds review time, fixes, and reverts
Your rules are suggestions until something enforces them
Prompts and policy docs can be talked past, and deadline pressure always wins
You can't prove the code matches the spec
Nothing verifies what shipped against what you asked for. That gap is where incidents are born
What you get
A concrete list, because you're buying a product, not a promise.
- Central rule control
admins set the rules once, pushed to every workstation
- Four enforcement checkpoints
write, commit, CI, and merge, deterministic, no LLM
- Enforceable specs
the finished work is verified against what you asked for
- Built-in orchestration
parallel agents, provably collision-free
- A signed record
every enforcement decision logged and attributable
- Your agents, your IDEs
governs what your team already uses, nothing to migrate
Four checkpoints
Enforced at every stage code travels.
No single layer is the whole system. Each checkpoint catches what the one before it might have missed, so a bug in any one is caught by the next.
Write
Runtime hooks stop a violating write before it reaches the disk
Commit
Pre-commit hooks gate types, coverage, secrets, and architecture
CI
Full matrix and guardrails; advisory for humans, blocking for automation
Merge
Review and merge gates make the final decision before main
Spec-driven development
Most specs are policy. Ours is enforcement.
Every spec tool handles the forward pass: spec to tasks to code. Mault also runs the read-back: a deterministic script checks the finished code against what the spec required, so “done” is proven from the code itself, not claimed by the agent that wrote it. The Spec agent writes the spec, keeps the roadmap current, and is admin-lockable.
Misreads caught early
The agent reads the spec back and proves it understood before code exists, so a misunderstanding is caught at minute one, not in review.
Read-back verification
"Done" is re-derived from the actual code, not taken from the agent's claim.
Guardrail-first changes
A structural change can't commit until the guardrail proving it works exists first. Overrides are owner-only and logged.
Nothing disappears silently
Every piece of code a change replaces must declare its fate: removed, kept as a fallback, or kept as a signal. A script then verifies the claim.
The spec and the gate can't drift
The gate reads its rules straight from your spec, so what you wrote and what gets enforced are always the same thing.
Deterministic by design
Physics, not policy
A rule a developer can bypass is just a suggestion. Most tools that govern AI are themselves AI, prompts checking prompts, which is still advisory, and an agent treats advice as optional. Mault’s enforcement is mechanical: either the code meets the rule, or it never gets written.
- Same input, same decision, every time
- Config itself can't be tampered with
- The same production bar regardless of who's driving the agent
› write src/auth/login.ts ALLOW
› write src/payments/charge.ts DENY
outside declared zone (src/auth/)
› exfil → external host DENY
network action not permitted for role
› commit ALLOW ✓ signed
Orchestration
A governed pipeline of specialized roles.
Give Governance a spec and it runs the work for you. The spec is broken into atomic tasks and assigned to parallel lanes by graph math, so no two agents ever touch the same file. Eight shipped roles, with human escalation built in.
Spec
Turns intent into an enforceable spec and keeps the roadmap current. Admin-lockable, so only the people who shape the roadmap can run it.
Planner
Turns your spec into a structured plan. Writes the plan, not the code.
Orchestrator
Creates the work queue: atomic tasks with declared zones and dependencies.
Workers
Execute in parallel, each confined to its declared zone.
Reviewers & Testers
Verify in parallel with the work, not after it.
Compliance
Audits the result before anything is done.
Put AI-written code under control.
Enforce as agents work, see every action, ship with a record you can stand behind.