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How we deliver CDE

We install Context-Driven Engineering on your codebases — and hand you the keys.

CDE is not a tool you download and hope for the best. It is a consulting engagement that installs the framework on your infrastructure, proves it on your own work, and leaves your team able to run it. Here is how that engagement works.

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 — 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, 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.

01

Discovery & Initial Implementation

Paid up front

We audit your codebases, map your toolchain, and install CDE on your infrastructure. You get a 12-month delivery plan, a baseline measurement, your first codebases indexed and queryable, your existing systems connected, your agents tuned to your stack, and your team trained — on real work, not a sandbox.

02

30-day evaluation

No extra charge

Run the framework on your own work for thirty days. At day 30 you make one decision: commit, or walk away. A real evaluation on your own codebase — not a sandbox demo, and no obligation to continue.

03

Expansion

At your pace

Add more codebases, connect more systems, and commission custom agents for your proprietary frameworks or domain-specific workflows. Each expansion is scoped and priced on its own, so you grow the footprint when it earns its place.

04

Continuous Evolution & Sustainment

Optional

An ongoing advisory engagement that keeps the practice sharp: health checks on agent accuracy and quality-gate pass rates, agent tuning as your code evolves, new skills, and named escalation support with agreed SLAs. The framework still runs on your infrastructure — this is not a multi-tenant service.

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 CDE without us. We train as we go: 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 curriculum

On your infrastructure

CDE runs on your infrastructure. Your code, requirements, and decisions never leave your network. As long as you are an active CDE 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

Today

The AI helps your team work faster. Humans approve every action. This is where every engagement runs today.

Delegation

Direction

Agents handle bounded tasks end to end. Approval moves up: you sign off on intent and final output, not every command.

Orchestration

Horizon

The AI runs the delivery loop within the policy you set; humans govern the system. Where the framework is heading as models mature.

Read the full product vision

What you receive

Concrete output from the first engagement — measured on your own data, 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

See whether it fits your team

Book a discovery call. We will map your current delivery process and show you where CDE creates leverage — no commitment, no pitch deck, just an honest conversation.