Selective consulting and advisory

AI architecture, engineering transformation and CTO advisory

I work selectively with founders, CTOs, engineering leaders and organisations tackling complex AI and software problems.

I currently work as a CTO, so advisory work is deliberately focused: architecture reviews, workshops, fractional advisory and defined Statement of Work engagements rather than open-ended availability.

Start a conversation

Engagement areas

AI and Agent Architecture

Production agent systems, tool use, memory, orchestration, evaluation, observability and the boundaries between automation and human judgement.

Engineering Transformation

Engineering operating models, delivery flow, platform foundations, quality systems and the organisational changes required to make modern software teams effective.

Technical Strategy

Roadmaps, platform decisions, build-vs-buy calls, architecture direction, technical due diligence and decision support for senior leaders.

AI Governance and Assurance

Engineering governance for model and agent systems: permissions, approvals, inventories, evaluations, auditability, lifecycle controls and operational risk.

Fractional CTO Advisory

Selective advisory support for founders, CTOs, boards and scale-ups that need experienced technical judgement without creating a full-time role.

Defined SOW Delivery

Clear outcomes delivered through a defined statement of work, with scope, accountability and delivery shape agreed up front.

Engagement models

Executive / CTO advisory

Suitable for: Founders, CTOs, boards and scale-ups.

Typical shape: Occasional sessions, monthly advisory or one to two days per month.

  • Architecture review
  • Technical strategy
  • Engineering organisation design
  • AI roadmap
  • Build-vs-buy decisions
  • Technical due diligence
  • Platform strategy

Architecture review

Suitable for: Teams facing a significant AI, cloud, distributed systems or engineering-platform decision.

Typical shape: A narrowly scoped review with risks, recommendations and a practical implementation roadmap.

  • System review
  • Architecture assessment
  • Target architecture
  • Major risks
  • Recommendations
  • Delivery roadmap

Agentic AI discovery

Suitable for: Organisations deciding where agentic systems are useful, safe and economically sensible.

Typical shape: A focused entry engagement covering workflow discovery, feasibility, architecture, governance risks and ROI assumptions.

  • Workflow discovery
  • Opportunity assessment
  • Agent feasibility
  • Governance risks
  • Implementation roadmap
  • ROI assumptions

Statement of Work delivery

Suitable for: Defined AI or engineering outcomes where the deliverable can be scoped clearly.

Typical shape: Outcome-based delivery, potentially supported by trusted specialists or delivery partners where the work requires a broader team.

  • Production agent implementations
  • AI platform foundations
  • Engineering workflow transformation
  • Architecture modernisation
  • AI governance implementation

Practical AI governance

My interest in AI governance is engineering governance: how production systems make model and agent behaviour visible, bounded, reviewable and accountable.