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Home/Build + Implement/AI Development / AI Dev Team

AI Development & your AI Dev Team.

Your embedded AI build capability. We accelerate your engineers, or act as your AI dev team outright — taking ideas from prototype to production with proper discipline, including Vibe Code Scale-Up and agents working inside your codebase.

Build capabilityEmbedded dev teamVibe Code Scale-UpAgents in your repos
The model

Three ways we add build capability.

01

Accelerate your team

Coding, DevOps, QA and security agents wired into your repos, writing to your standards — so your existing engineers ship far more. Engineering is usually the most expensive bottleneck.

02

Be your AI dev team

No engineering function yet? We act as it — designing, building, deploying and supporting AI solutions in your cloud until you are ready to bring it in-house.

03

Enable your builders

We find the people already experimenting, upgrade them onto proper, secured tooling and repositories, and run a security and architecture review.

The method

Understand the need. Prototype the solution. Choose the right tools.

We start with a shared language for what AI can do, work out where the value genuinely is, and build the smallest thing that proves it — using whichever product zone fits the job.

01 · Understand

Find where the value is

Map the processes and outcomes that matter; score ideas on real business value, not novelty.

02 · Prototype

Build the smallest proof

One high-impact prototype, often in days. People see and feel it — and it de-risks the bigger build.

03 · Choose

Best-fit, never locked-in

Tool-agnostic by design. We pick the right product zone per task, everything permissioned and tied to your identity.

The product zones

Every build lands in one of four zones — Microsoft Copilot, Vibe Code: Easy, Vibe Code: Scale, or Agentic Engineering. Explore the product zones →

Vibe Code Scale-Up

From a Lovable prototype to a production app you can depend on.

"Vibe coding" is fine for a weekend project. Agentic engineering — the same activity with version control, AI code review, automated testing and security scanning around it — is what you want behind anything you rely on. This is the path we scale clients up through.

Zone 2 · ~1 week

01 · Prototype

Build the first version in Lovable. The aim is learning, not durability — within an afternoon you have something a real user can click on.

~1 fortnight

02 · Validate

Get it in front of someone who would actually use it. Their reaction reshapes the problem more than any internal discussion.

Zone 3 · ~1 week

03 · Graduate

Export the code to GitHub and connect Claude Code. New features now ship inside a proper engineering workflow — powered by AI.

~2 weeks

04 · Deploy

Deploy into your own Azure with the same controls as any internal app — SSO via Microsoft Entra, AI code review, a focused front-end pen test before real data goes in.

Zone 4 · later

05 · Agentify

Add agents only when there is a clear, justified need simpler approaches cannot serve. Guardrails and human-in-the-loop designed in from the start.

Worked example — a construction firm, two weeks of evenings

An operations manager with twenty years of domain knowledge and no coding background scaffolds a supplier-tracking web app — JavaScript front-end, SSO via Entra, hosted on Azure. Total spend: a personal AI subscription and a small Azure bill, plus our targeted review at the inflection points. The technology made it possible; their judgement made it valuable; our help kept it from becoming a liability.

Where we add value

Build across the functions where the return is greatest.

Productivity

Developer & engineering

Coding, DevOps, QA and security agents in your repos, with autonomous regression testing.

Productivity

Data & BI

Analytics treated as code, with standards and data quality validated automatically.

Commercial

Commercial & sales AI

Hyper-personalised outreach and deep-research memos — working even before your CRM is mature.

Commercial

Your own product

The same approach turned on the software or service you sell — differentiating AI features for market.

Go deeper

Related services.

Product zones

The four product zones

Microsoft Copilot, Vibe Code Easy and Scale, and Agentic Engineering.

Explore →
Service

Product Management Services

The judgement layer: what to build, for whom, in what order.

Explore →
Service

AI Roadmap + Strategy

Discovery that turns ideas into a prioritised, costed, fundable roadmap.

Explore →

Need an AI dev team — today?

Bring us the prototype you sketched, or the idea you keep coming back to. We will scale it up into something governed, secured and running in your cloud.

Start the conversation →Explore the product zones
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