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Make AI coding assistants pay for their seats.

We set up the platforms, guardrails and workflows that turn AI coding tools into measurable delivery gains.

Let's Build Together

One call with a senior engineer. A straight answer on what it would take.

Illustration: AI-native / AI-assisted development platforms

Where you are. Where you’ll be.

You need this if

  • You pay for AI coding tools and can't show the return
  • Pull requests got bigger and reviews got slower
  • Security hasn't approved how code assistants are used

What changes for your business

  • Measured gains in lead time and throughput
  • Quality and security held steady as speed rises
  • Developers using AI the same safe way across teams

What we hand over

  1. AI tooling selection and secure configuration
  2. Codebase-aware context, prompts and agent workflows
  3. AI-assisted code review and test generation in CI
  4. Before-and-after DORA metrics

What it is

AI-assisted development means software engineers working with AI tools that write, review and test code alongside them. On its own, buying licenses changes little; the gains come from codebase context, review practices, security settings and measuring delivery before and after.

Buying AI coding licenses is easy. Getting a measurable return is not: code review queues balloon, quality drifts, and security worries about what's being pasted where. We roll out AI-assisted development properly, with approved tools, codebase-aware context, AI code review, test generation, secure configuration and metrics that show what changed in lead time and failure rate.

Why now
90% of technology professionals now use AI at work, yet AI adoption still correlates with less stable delivery. DORA State of AI-assisted Software Development, 2025 (opens in a new tab)
Last reviewed

How it runs

  1. 01

    Diagnose

    Typically 2–4 weeks

    We map the problem, your data and your systems, and agree the one number that defines success.

  2. 02

    Prove

    Typically 4–8 weeks

    A working pilot on your real data, measured against that number. Not a slide demo.

  3. 03

    Ship

    Scoped to the outcome

    Production build with security, monitoring, cost controls and documentation included, not upsold.

  4. 04

    Run

    Ongoing, optional

    We operate what we built against clear service levels, or train your team to. Your call. No lock-in.

Questions you’ll ask

We bought AI coding licenses. Why can't we show a return?
Because licenses alone change little. Without codebase context, review practices and measurement, pull requests get bigger, reviews get slower and quality drifts. The DORA research finds AI adoption can make delivery less stable when the system around it doesn't change.
How do you handle security concerns about code assistants?
Approved tools only, configured so code and secrets stay within agreed boundaries, with secret scanning and policy on what can be shared. Security signs off on the setup before rollout, not after an incident.
What do you measure?
The DORA delivery metrics, lead time, deployment frequency, change failure rate and recovery time, plus review time and pull request size, before and after rollout. The result is a number you can defend, not a survey.

Sound familiar? Let’s fix it.

One call with a senior engineer. You’ll leave with a straight answer on what it would take.

Let's Build Together

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