From AI-built to production-ready.

AI can get you to a working application faster than ever. WFS provides the architecture, engineering and technical leadership needed to turn AI-built software into something your customers and organisation can depend on.

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For founders, startups and organisations building with AI.

Projects delivered for teams at:

Spanning work delivered directly, via partner agencies and across previous technical leadership roles.

The production gap

Building software has changed. Production hasn't.

Cursor, Claude, Replit, Lovable, Copilot and internal AI tools allow far more people to create working software.

But a working application doesn't automatically answer:

check_circleWho owns it?
check_circleHow is it authenticated?
check_circleWhere does the data go?
check_circleWhat happens when an AI call fails?
check_circleHow is it tested?
check_circleHow is it monitored?
check_circleCan another engineering team maintain it?
check_circleIs it safe to put in front of customers?

That's the production gap WFS fills.

Production-ready software

How WFS gets software production-ready

From assessing what exists to operating a reliable product, WFS brings the technical leadership needed at every stage.

Assess

Understand what has actually been built: architecture, code, dependencies, AI models, data, authentication and integrations.

Architect

Define the production architecture, AI orchestration, infrastructure, security and operational boundaries.

Productionise

Refactor, integrate, test and harden what needs changing.

Deploy

Environments, CI/CD, infrastructure, secrets, monitoring and release controls.

Operate & Enable

Observability, maintenance, technical guidance and helping teams safely continue building.

AI-era assurance

Working isn't the same as production-ready.

The production gap between an AI-built prototype and production-ready software

Starter engagements

A clear path to production-ready software.

Start by understanding the risks, then get the right level of hands-on support to move your application into production.

Architecture Check

Free

Understand what’s underneath your AI-built application and where the biggest risks are.

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Production Readiness Review

A deeper technical assessment covering architecture, AI, security, data, testing, deployment, observability and maintainability.

Productionisation Sprint

We work alongside you to resolve the risks and take the application towards production.

Embedded Engineering / AI Deployment

Hands-on architecture, engineering, deployment and technical enablement for teams bringing AI-built software into production.

Case study: Homing School

AI where it adds value. Deterministic logic where correctness matters.

Homing School is an assessment and reporting platform designed to evaluate students, track progress and generate useful diagnostic reports for parents and tutors.

The challenge was not simply adding AI.

It was deciding where AI should be used, where it should not be trusted, and how the system could remain reliable, testable and maintainable as it grows.

Homing Schoolwww.homingschool.com

From idea to production-minded system

Product Logic

Assessment flows, questions, answers and scoring were defined as structured application behaviour.

Architecture

The system was separated into clear responsibilities across assessment, data, diagnostics and AI.

Deterministic Core

Marking, scores, topic performance and progress remain predictable and testable.

AI Layer

AI is used to turn structured diagnostic data into useful explanations — without changing the underlying truth.

Testing & Validation

Application behaviour, assessment logic, generated content and AI outputs are validated independently.

Production Thinking

The result is a system designed to be understood, maintained, extended and operated — not just demonstrated.

The principle

The AI does not own the truth. It works around a system designed to know what the truth is.

View the Homing School case study

Experience

Production engineering judgement for the AI era.

AI may change how software is created, but production still demands architecture, reliability, security, testing, deployment and operational ownership.

WFS brings years of hands-on software delivery experience across complex products and enterprise environments, combining engineering execution with stakeholder communication and technical leadership.

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Production Architecture

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AI & Application Orchestration

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Platform Audits & Production Readiness

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Cloud, Deployment & Observability

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Testing, Evals & Quality Controls

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Technical Documentation & Handover

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Stakeholder & Business Translation

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Embedded Engineering Leadership

You've built something with AI. What happens next?

I'm a founder

My MVP works and I'm preparing for real customers, growth, investment or engineering handover.

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I'm an organisation

Our teams are building AI applications, agents or internal tools and we need help taking them safely into production.