How we deliver Azimuth
We install Azimuth on your codebases, then hand you the keys.
Azimuth is not a tool you download and hope for the best. It is an engagement: you prove the framework on your own work before any big commitment, and we build the capability so your team runs it without us. Here is how that works.
Principles
The principles behind every engagement
Four ideas shape how we work. They are the same four the framework itself is built on, because the methodology and the product are the same thing.
Context
We connect your requirements, tickets, code, tests, environments, logs, and decisions into one system the AI can read. Every agent works from full project context, not guesswork.
Knowledge
Purpose-built agents do the work across the lifecycle: planning, implementation, review, security, testing, operations. Each is tuned to your stack and your conventions.
Verify
A feature is not done until it is proven. We check the work against your requirements and acceptance criteria, with evidence, not just a green test run.
Govern
Humans approve at the points that matter. Every AI action is recorded, so you keep control and an audit trail from day one.
The engagement
The engagement, phase by phase
We do not ask you to take the framework on faith. Each phase delivers value on its own, and you decide when to take the next step.
Discovery
A paid advisory engagement. We audit your codebases, map your toolchain, and chart where AI capability lands first: which teams, which work, which quirks of your systems the framework needs to learn. You leave with a plan you can act on, with or without us.
30-Day Evaluator Licence
We work with one of your teams and ensure they get the most value out of the framework. Thirty days on your own work, bounded by the scope you choose: a real evaluation on your own codebase, not a sandbox demo. At day 30 you make one decision: commit, or walk away.
Capability Transformation
A fixed-scope implementation. We install the framework on your infrastructure, tailor it to your codebase's quirks, connect your existing systems, and skill your experts first, so they become the owners and trainers, not dependents on a vendor.
Capability Licence
A flat per-team annual subscription that delivers quarterly framework updates. Models change fast; the licence keeps the framework adapting with them. Ongoing advisory runs on a time-and-materials basis. It still runs on your infrastructure. This is not a multi-tenant service.
Delivery discipline
How we work, day to day
The same delivery discipline runs on every engagement. It is what keeps AI-assisted work safe to ship in an enterprise.
Discuss before we build
We propose the approach, list what it touches, and wait for your go-ahead before changing anything.
Test first
A failing test, then the minimal implementation, then the refactor. The discipline that keeps AI output honest.
Verify against the requirement
We check the work against acceptance criteria and real evidence before anyone calls it done.
Quality gate before merge
Correctness, tests, security, and architecture reviewed in a single pass, before code lands.
Security on every endpoint
Every new endpoint, form handler, or auth change gets a security review. Not optional.
A record for every decision
A root-cause document per ticket and a full audit trail of what the AI did and why.
Capability transfer
Built to be handed over
The point of the engagement is for your team to run Azimuth without us. We skill your experts first. They become the owners and trainers, not dependents on a vendor. The work happens on your real codebase while a coach narrates the skill being used. Intake and exit scorecards make the change visible.
That training is grounded in a curriculum of ten concrete skills for working with AI agents, each scored, each coachable. It runs alongside the consulting, not in a classroom.
See the ten-skill curriculumOn your infrastructure
Azimuth runs on your infrastructure. Your code, requirements, and decisions never leave your network. As long as you are an active Azimuth customer, everything we build with you is yours to use: the knowledge graph, the agent customizations, and the integrations.
Governed by design
You set how far the AI goes
Governance is a dial you control, not a default you inherit. Today every engagement runs at the first setting. Moving up is a policy change you make when you are ready, not a rebuild.
Augmentation
The AI helps your team work faster. Humans approve every action. This is where every engagement runs today.
Delegation
Agents handle bounded tasks end to end. Approval moves up: you sign off on intent and final output, not every command.
Orchestration
The AI runs the delivery loop within the policy you set; humans govern the system. Where the framework is heading as models mature.
Deliverables
What you receive
Concrete output from the first engagement, measured on your own data and running on your own infrastructure.
- A day-one baseline measurement of your delivery today
- Your codebases indexed and queryable by every agent
- Your existing tools connected: Jira, Confluence, CI, observability
- An agent roster tuned to your stack and conventions
- Your team trained on the workflow and the governance protocol
- A full audit trail of every AI action
- While you are an active customer: the knowledge graph, customizations, and integrations are yours to use
Next step
See whether it fits your team
Book a discovery call. We will map your current delivery process and show you where Azimuth creates leverage. No commitment, no pitch deck, just an honest conversation.