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Our approach

A toolkit that grows with your team

We don’t arrive with a platform to install. We work through six stages with you, and each one leaves behind tools, habits and governance your team owns and keeps using after we’ve gone.

Your kitComplete set1122334455661. DiscoveryWhere are you starting from?Adds: Flow map, Baseline metrics, AI usage audit2. DocumentationCould an agent understand how you work?Adds: Repository instructions, Role guides, Definitions of done3. AdjustmentWhat has to change in the machinery?Adds: Agent sandboxes, Permission model, Merge gates, Cost tracking4. AdoptionWill people actually work this way?Adds: Playbooks, Team ceremonies, Levelling framework5. IterationIs it working, and what next?Adds: Scorecards, Check-in rituals, Retros that change rules6. Autonomy (lights out)What becomes possible now?Adds: Micro-factory blueprints, Reusable skills, Monitoring
Tools you keepThe question each stage answers

Six stages, from first look to AI-native

Where you start depends on where you are today. Some teams join at stage one; others are ready for stage three.

1

Discovery

Where are you starting from?

What we do

We map how work flows from idea to production, talk to engineers, product and QA, and measure where AI is helping or quietly hurting.

Adds to your kit

  • Flow map
  • Baseline metrics
  • AI usage audit
2

Documentation

Could an agent understand how you work?

What we do

We write down what lives in people’s heads, in a form that people and agents can both use.

Adds to your kit

  • Repository instructions
  • Role guides
  • Definitions of done
3

Adjustment

What has to change in the machinery?

What we do

We reshape environments, permissions, pipelines and review for work at agent speed, and make cost and risk visible.

Adds to your kit

  • Agent sandboxes
  • Permission model
  • Merge gates
  • Cost tracking
4

Adoption

Will people actually work this way?

What we do

We work alongside your teams on real delivery: pairing, coaching, reshaping ceremonies and setting expectations at each level.

Adds to your kit

  • Playbooks
  • Team ceremonies
  • Levelling framework
5

Iteration

Is it working, and what next?

What we do

We set check-ins and a rhythm for reading the signals, retiring what doesn’t pay for itself and doubling down on what does.

Adds to your kit

  • Scorecards
  • Check-in rituals
  • Retros that change rules
6

Autonomy (lights out)

What becomes possible now?

What we do

We design dark micro-factories for your repeatable work and compose them into your SDLC, with people at the seams.

Adds to your kit

  • Micro-factory blueprints
  • Reusable skills
  • Monitoring
See where the six stages lead

Governance that fits your organisation

Rules, guardrails and checkpoints, shaped around your risk appetite, your regulators and the controls you already have, so teams can go faster without anyone losing sleep.

spec ok?tests ok?ship it?

Rules

Make change clear.

Written agreements that people and agents both read. If it isn’t written down, an agent can’t follow it, and neither can your next hire.

Guardrails

Keep it heading the right way.

Limits the system enforces: where agents run, what they can touch, what they can spend, and what must pass before anything merges.

Checkpoints

Decide what moves on.

The points where a person signs off before work moves on: the spec, the tests, the release. Regular check-ins, with retros that can change the rules, keep the whole system honest.

Calibrated to how you work

Moving fastLight rules, quick checkpoints, guardrails where mistakes would hurt most.
Scaling upShared guardrails across squads, so every team isn’t inventing its own.
RegulatedEvidence at every gate and an audit trail your compliance team can follow.

Where we help

Every team has to answer these for itself. We’ve worked through all of them in a live product team, and we’ll help you reach your answers faster.

Agent environments

Where should agents run, how are they kept apart, and what happens when twenty run at once?

Codebase context

What does an agent need to know about your system, and how do you keep that true as the code changes?

Roles and instructions

How do engineers, QA and product owners each direct agents differently, while sharing one source of truth?

Review and quality gates

How do you review far more code without your senior engineers becoming the bottleneck?

Pipeline throughput

How do CI, test strategy and merge flow keep pace when the number of pull requests doubles?

Cost and visibility

What does AI-assisted delivery really cost per engineer, per session and per change, and who should see it?

Skills and automation

Which repeatable work becomes a reusable skill or a dark micro-factory, and which should stay with people?

People and progression

How do levelling, ceremonies and hiring change when directing agents is part of the job?

Security and compliance

How do you adopt all this safely in a regulated business, with an audit trail to show for it?

Start with a conversation

Thirty minutes to talk through where your team is today, what’s slowing it down, and whether we’re the right people to help. If we’re not, we’ll say so.

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