AI strategy that never reaches production
Translate AI ambition into an operating model, architecture, controls, roadmap and measurable portfolio.
STRATEGY → PRODUCTIONAI · Innovation · Transformation · Portfolio Delivery
Complex problems. Intelligent transformation. Delivered.
Technology transformation leader with 23+ years spanning executive strategy, portfolio and programme delivery, solution architecture, AI-enabled engineering, cloud, data, enterprise platforms and operational technology. I help organisations turn complex problems and AI ambition into secure, governed operating capabilities—combining the right people, skills, data, architecture and agentic AI to transform software delivery, optimise business processes and workforce capacity, and move innovation from experimentation into measurable outcomes.
Enterprise AI TransformationPortfolio & Program DeliveryAgentic Operating ModelsAI-enabled EngineeringRisk, Governance & SecurityDecision Intelligence
Strategy → Operating Model → Architecture → Delivery → Adoption → Value
Experience across
Enterprise AI
Government
Emergency Services
Aviation
Logistics
Healthcare
The proposition
Bring me the problem — not the buzzword.
When transformation is ambiguous, cross-functional and difficult to land, the answer is rarely another tool rollout. It is a clearer operating model, the right skills, trusted data, secure architecture, disciplined risk and portfolio governance, and AI applied where it genuinely changes the economics of work.
I operate across those boundaries so strategy survives contact with engineering, security, risk and operational reality—and the portfolio still delivers.
Problems I solve
Where organisations need more than a technology implementation.
Convert complexity into a system people can operate, govern and improve.
Software teams using AI individually
Redesign analysis, coding, review, testing and knowledge flow around AI-assisted and agentic engineering.
AI-ENABLED SDLCProcesses full of hand-offs
Re-engineer work around human judgement, deterministic automation and bounded agents.
AGENTIC OPERATING MODELData exists but decisions are slow
Connect analytics, real-time data, geospatial context and AI reasoning to operational action.
DECISION INTELLIGENCELegacy platforms constrain change
Separate institutional knowledge from technical debt and modernise deliberately.
MODERNISATIONTransformation programmes lose confidence
Reconnect scope, assumptions, architecture, estimation, governance and benefits.
RECOVERY & DELIVERYAI leadership
AI is an operating-model change, not a software licence.
Design how work is divided between people, agents, deterministic systems and data without losing accountability.
DiscoverFind economic friction.
PrioritiseValue, feasibility, risk.
DesignHuman + agent roles.
EngineerModels, tools, controls.
AdoptSkills and workflow.
ScaleMeasure and extend.
AI-enabled transformation
Four capabilities I bring together.
Product, engineering, process and operating-model decisions belong in one transformation system.
01 / ENGINEERING
Transform the software factory
AI-assisted analysis, code, review, tests, migration and knowledge with deterministic quality controls.
02 / AGENTIC OPERATIONS
Redesign how work moves
Agents retrieve, analyse, recommend, prepare and execute within clear authority boundaries.
03 / DATA + GEOAI
Turn data into action
Historical, real-time and spatial context becomes decision intelligence for frontline and operational environments.
04 / GOVERNANCE
Build trust into architecture
Identity, data access, evaluation, audit, security and human approval are engineered from the start.
Human + agent workforce
Optimise the work before optimising the headcount.
AI changes which work deserves scarce human attention.
People
- Judgement and accountability
- Problem framing and negotiation
- Architecture trade-offs
- Novel exceptions
- Leadership and change
⇄
Agents + automation
- Retrieval and synthesis
- Pattern detection
- Drafting and preparation
- Coordination
- Bounded execution
Selected work
Assignments described by outcome — not customer name.
Selected examples are intentionally anonymised. They demonstrate scale, problem-solving, portfolio delivery and technology range without exposing confidential client relationships.
01
Consolidating six legacy courier platforms into one modern operating platform.
Directed delivery and engineering management across estimation, architecture, technical assurance and migration. Introduced AI-assisted legacy-code analysis, documentation, testing and migration techniques while retaining human verification and delivery governance.
6 → 1 legacy instancesAI-assisted modernisationCI/CD delivery uplift
02
Modernising a mission-critical business platform used by 105 remote and regional organisations.
Led transformation across business process, inventory, financial accountability, reporting, accessibility, architecture, governance and adoption—shaping a secure AWS-based target platform rather than simply replacing screens.
105 organisations supportedAWS modern architectureEnd-to-end transformation
03
Re-shaping emergency assistance processing around event-led configuration and controlled case workflows.
Led analysis and delivery across CRM data-model redesign, application intake, spatial eligibility, assessment, queues, API/finance integration and AI opportunities for triage, workforce balancing, duplicate detection and decision support.
D365 operating modelGeospatial eligibilityHuman + agent workflow design
04
Recovering and delivering complex transformation work in a multi-agency environment.
Delivered business and location-intelligence workstreams while strengthening governance, data strategy, stakeholder alignment, delivery controls, reporting and release discipline across a major transformation programme.
$65M programme environmentMulti-agency governanceRecovery & assurance
05
Building an integrated technology landscape across a multi-facility healthcare group.
Shaped a multi-year technology roadmap across clinical and business applications, EMR workflows, online bookings, telehealth, financial integration, analytics, collaboration and infrastructure, with continuity and operational resilience at the centre.
100+ healthcare professionalsEMR + BI integrationTelehealth continuity
06
Managing airport-operations technology where digital decisions affect physical operations.
Managed a major technology portfolio spanning ground-support equipment, cargo and airport operations systems, with programme delivery, change governance, risk, vendor performance, commercial accountability and 24/7 service continuity.
USD 100M+ portfolio responsibility14% contract savings24/7 operational context
Leadership range
Four conversations. One transformation.
Keep intent, operating design, architecture and delivery connected.
Executive
Outcome, investment, risk and value.
Business
Process, policy, roles, decisions and exceptions.
Architecture
Data, platforms, AI, integration and security.
Delivery
Teams, sequencing, testing, adoption and benefits.
Bring the problem
When the challenge crosses business, AI, architecture and delivery — that is the work.
I am targeting senior AI, innovation and transformation leadership where an organisation needs to turn ambition into a governed capability that produces measurable outcomes.