Enterprise AI development

AI-assisted delivery with governance built in

We use an AI-assisted delivery model for organisations where governance, auditability and long-term maintenance cannot be bolted on later.

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The problem with uncontrolled AI adoption

For regulated enterprises, poorly governed AI can create more risk than value.

Compliance exposure

Code generated without traceability or audit trails creates regulatory risk.

Quality drift

AI outputs can pass a superficial review while still harbouring subtle defects.

Governance gaps

No clear accountability when AI-generated code causes incidents.

Vendor lock-in

Dependency on opaque AI services with unclear data handling.

Technical debt

Rapid generation of code that no human fully understands.

Unsustainable pace

A reckless pace does not work in regulated environments.

Our approach: disciplined AI use

AI is useful tooling. It works best inside clear human-defined boundaries.

Formal specification before generation

Every feature begins with explicit documentation: requirements, constraints, acceptance criteria and edge cases. This detail is captured before any AI agent is used.

AI does not decide what to build. Humans do.

AI as tooling

AI agents help with development, review, architecture, QA and documentation. Every output still passes through human review.

Accountability remains with named individuals.

Pragmatic technology choices

We avoid unnecessary complexity: monolith-first architecture, major cloud providers and simple auditable pipelines. No microservices unless there is a compelling reason.

AI-generated code lands in systems humans can understand.

Complete traceability

Every line of code traces back to a ticket. Every ticket traces back to a requirement. Every AI interaction is logged.

A paper trail a regulator can follow.

Business outcomes

Increased capacity

A team of 3-4 senior engineers can sustain a rate of delivery that used to require 8-12 people.

Reduced risk

Formal specifications and human review help catch defects earlier, reducing production issues.

Lower total cost

Smaller senior teams, less rework and a shorter route to value.

Maintained compliance

Full traceability and clear human accountability satisfy regulatory requirements.

Sustainable pace

A delivery pace that can be sustained beyond the first few sprints, with technical debt kept under control.

Enterprise-ready

Delivered for Deutsche Bank, NHS, National Grid, and other regulated organisations.

Using Augment Intent

Spec-driven development

We use Augment Intent to manage AI-assisted projects. Specifications are the source of truth, AI agents work in parallel and delivery stays on course.

See how we work with Intent

Intent

Coordinatororchestrating

Auth Agentjwt-service.ts

Test Agentauth.test.ts