For Enterprise
Give the whole delivery organization one way to work with AI.
Output is up across the organisation, and nobody can prove standards are holding. Praxis is the shared engineering process — specialized role harnesses, shared artifacts, and a chain from accepted scope to evidence you can inspect.
01
Faster teams, weaker proof
Every team has AI assistants now, and every team is producing more. What the organisation cannot produce is proof: which requirement a change implements, which design it was built against, who approved the plan, and whether “verified” means anything more than a green checkmark. Review queues grow, audits take longer, and the risk sits with whoever signs off.
02
Why a policy document doesn’t fix it
A governance policy describes how teams should work. It does not run inside the tools they actually use. Each engineer’s assistant follows its own prompts and conventions — the equivalent of every team keeping a private wiki — so the policy is re-interpreted on every desk and nothing connects across them. More reviewers, more checklists, and more dashboards of token spend do not turn that into an auditable chain.
03
One process for the whole organisation
Adopt the same artifact contract across specialized roles. BA and Architect can share product repository ownership; Developer works in a chosen code checkout with explicitly prepared input; Quality Harness reviews a particular result. Core provides shared contracts and Runtime provides local tools where configured. The private Quality Platform is a separate planned product for multi-project history.
04
How it works for enterprise delivery
- Roll out by responsibility — install and configure the role each person needs; agree who owns product and code repositories and how a prepared package crosses between them.
- Review actual actions — proposed canonical writes, Quality application and Git delivery have separate approvals. Publication still awaits review and merge.
- Inspect evidence — see which checks ran, failed or were skipped for the selected operation. A label does not imply every possible check ran.
- Choose a supported environment — follow the documented Claude Code CLI or Claude Desktop/local Runtime distribution and its local prerequisites. Do not assume identical tools in every role package.
- Discuss private history separately — configure Platform access and integrations with the team; its future project history is not implied by installing Quality Harness.
05
Private quality control
Quality Harness reviews one result. The separate private Quality Platform is planned to retain comparable observations within each project and provide oversight across multiple projects. Discuss availability and integration during onboarding.
06
The case
The Watchlink case shows the same need in a community-product context: a checkable handoff at every stage. Public customer and outcome metrics are omitted until their publication evidence is approved.
Book a walkthrough with your own systems and standards in mind, or reach out to talk through what a rollout would look like.