Deployment planning and governance advisory, drawn from hands-on GM-level experience across energy, logistics, retail and infrastructure organisations.
Deployment
Enterprise AI strategy & roadmap
A sequenced, board-ready AI strategy tied directly to your commercial objectives — use case prioritisation, capability sequencing, and a delivery roadmap that balances pace with risk.
Strategy
Board engagement
Roadmap
Deployment
AI operating model design
Team structure, ways of working and accountability model for a sustainable AI function — federated versus centralised analytics, roles and responsibilities, and platform selection guidance based on fit, not preference.
Operating model
Team design
Structure
Informed by hands-on experience with Databricks, Snowflake, AWS and modern data stack tooling — without prescribing architecture.
Deployment
AI strategy communication & business case
Turning strategy into a story that moves people. Business case development, executive presentations, board papers and the internal communications that build organisational will behind an AI program.
Business case
Storytelling
Exec engagement
Deployment
Automation & agentic tooling advisory
Practical guidance on RPA, workflow automation and agentic AI deployment. Which processes to automate first, tooling selection, and designing for genuine adoption — not just implementation.
RPA
Agentic AI
Process automation
Deployment
AI upskilling program design
Organisation-wide AI literacy programs that meet people where they are — designed for enterprises with diverse starting points, shifting mindset as much as technical skill.
Change management
AI literacy
Adoption
Deployment
Technology procurement & vendor selection
End-to-end RFP design, vendor evaluation and commercial negotiation for AI and data platform investments — with experience managing competitive processes spanning 30+ vendors.
Procurement
RFP
Vendor management
Governance
AI governance framework design
Governance structures aligned to NIST AI RMF and ISO 42001 — policy, accountability model, escalation pathways and the internal assurance mechanisms boards and regulators expect.
NIST AI RMF
ISO 42001
AI policy
Governance
Responsible AI & ethics in practice
Translating ethics principles into practical controls — bias assessment, transparency requirements, human oversight design and escalation protocols built for commercial environments under real pressure.
Responsible AI
Bias & fairness
Human oversight
Governance
Data governance & privacy advisory
Governance structures for privacy, data sovereignty and access control in AI workloads. Practical advice for regulated industries where data sensitivity and accountability requirements are front of mind.
Data governance
Privacy
Compliance
Governance
AI risk assessment & management
Structured risk assessment for AI deployments — model risk, operational risk, reputational risk and third-party AI risk. Includes risk register design, appetite setting and ongoing monitoring frameworks.
Risk register
Model risk
Monitoring
Governance
Executive & board AI readiness
Briefings and decision-support tools that equip boards and executive teams to govern AI confidently — covering AI literacy, oversight duties, reporting cadence and the right questions to be asking.
Board engagement
Executive briefing
AI literacy
Governance
AI strategy reporting & assurance
Reporting architecture and progress tracking for AI programs — delivery metrics, board-level strategy updates, quarterly reporting design, KPI frameworks and investment case discipline.
Reporting
Strategy tracking
Assurance