You may already have policies, risk requirements, governance frameworks or internal standards. The difficult part is turning them into technical capabilities that actually work in production.

I work with organisations to design and build the engineering around accountable AI systems, including trustworthy Evidence, Human Review, visible rules and integration with existing systems.

Where I can help

• AI accountability and evidence engineering
• Human Review and approval workflows
• Visible rules and policy implementation
• Translating accountability requirements into technical capabilities
• Accountability for AI applications, models, agents and tools
• Evaluation, monitoring and traceability
• Integration with existing AI, cloud and engineering systems

Work with what you already have

You do not need to replace your existing architecture, controls or governance tooling.

I can work with your current platforms, controls and workflows, or use ARCS where it provides a useful fit. The objective is to build the accountability capabilities you need rather than force every problem into one product.

Flexible ways to work together

I can work with organisations through focused implementation projects, contract engagements or fractional support, depending on the scope and what your team needs.

Hands on engineering experience

I am a senior software engineer with 18 years of experience across Intel, IBM, Mastercard and Boeing.

My background includes enterprise APIs, rules engines, fraud prevention, high volume transaction systems, cloud platforms and production software architecture.

I am also the founder and builder of ARCS and the sole inventor on four granted patents.