Enterprises are not asking how to go faster with AI. They are asking how to stay in control when they do. And right behind that: how do we make sure we understand what AI built?
Those are the questions Mault was built to answer.
Sneak preview: our new enterprise console standardizes the entire multi-agent development workflow inside a governed pipeline. Agents do not step on each other. Every role is defined. Every handshake is logged. Every decision leaves a receipt. Admin controls give engineering leadership centralized configuration of hooks, prompts, and governance rules with periodic health checks on brownfield projects.
Two new features coming soon.
While you are running last mile testing on your current sprint, the Spec Agent is already hardening the next one.
Step 0: Spec Agent. The outcome is bad ideas are killed before they become bad code.
Composer → Gauntlet 1 → Gauntlet 2 → Convergence
Planner receives only hardened, phased specs with explicit acceptance criteria, architectural plans, and start/stop boundaries.
Step 5: Tester Agent Answers the question: does the shipped code actually work when a real user touches it?
Artifact → Interaction → State → Journey → Human Judgment
A five-layer pyramid where nothing runs until the layer beneath it passes. Enterprise preflight, governance regression, TTL audit, and a 10-pattern bug taxonomy built from 174 fix PRs. Delivers a structured quality report with classified findings routed directly to the Orchestrator.
95% of the process is machine verified. The last layer is humans making sure it works for other humans.
What about institutional knowledge? enforced logging is table stakes with mault. We leave breadcrumbs every step of the way.
What is genuinely underappreciated:
Most teams know tests are documentation in theory. Few have a pipeline that enforces it. In Mault’s governed flow, mutation testing proves your tests actually detect defects. Coverage without mutation testing is a false sense of security.
Together, under enforcement, they produce the only artifact in your codebase that is structurally required to stay true. It does not go stale. It does not live in a Confluence page nobody reads. It travels with the codebase forever. Every workflow logged. Every decision receipted. The historical record is preserved automatically as the agents work.
Your agents build it. Mault makes sure you own it.
