Tailored Consulting to meet your business needs.

The convergence of people, technology & strategy can be powerful. I offer services across three core focus streams. These streams can be further tailored to meet your specific needs and are applicable to businesses of all sizes.

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Fractional CTO | CIO

Strategic technology leadership without the full-time overhead. I step in part-time to align tech with growth, reduce complexity, and lift delivery quality.

  • Strategy & operating model: Tech vision, capability map, investment roadmap, KPI/OKR design.

  • Product & platform: Product strategy and roadmap, platform modernization (cloud, data, APIs), scale & reliability engineering.

  • Delivery excellence: Agile ways of working, SDLC upgrades (CI/CD, test automation, feature flags), value-stream flow and governance.

  • Org & leadership: Team shape, hiring and leveling frameworks, coaching for engineering/product leaders.

  • Cost & vendors: FinOps, SaaS rationalisation, vendor selection/management, contracts and service reviews.

    Typical outcomes

    • Clear 12–24 month roadmap tied to business metrics.

    • Faster, safer releases and fewer regressions.

    • Lower run costs with better platform resilience.

Whiteboard with diagram titled 'Product Roadmap' showing four circles labeled Q1, Q2, Q3, and Q4 connected in a timeline, with notes 'Launch MVP' under Q1 and 'Content Mark.' under Q2.

AI Enablement

Turn AI from buzzword to business value—safely, measurably, and fast—leveraging your data, systems and new ways of working.

  • AI strategy & business case: Use-case discovery, ROI model, operating model (Center of Enablement), guardrails.

  • Data foundations: Pragmatic data architecture for analytics + AI (e.g., warehouse/lakehouse patterns), governance, quality, access.

  • Product & workflow AI: Retrieval-augmented features, assistants/agents, search & recommendations, customer support automation, internal copilots.

  • ML/MLOps platforming: Model selection & evaluation, experiment tracking, observability, deployment, and lifecycle management.

  • Responsible AI & risk: Policy, privacy and security reviews, human-in-the-loop controls, auditability.



Quick-start options

  • AI Opportunity Sprint (2–4 weeks): Prioritised use-case backlog + pilot plan and ROI.

  • Pilot to Production (6–12 weeks): Ship 1–2 high-impact pilots with measurement and runtime guardrails.

  • AI Governance Pack: Policy, process, and risk controls aligned to your security posture.

(Why me? I’m an active CTO leading AI & data uplift in a scale-up environment and a conference speaker on modern security/AI practice.)

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Cyber Security & Risk

Pragmatic security that protects brand, IP and customer data—without stalling delivery.

  • Baseline & roadmap: Risk assessment across people/process/tech, uplift plan aligned to NIST / ISO / Essential 8.

  • Identity & access: SSO/MFA, device/endpoint hardening, PAM/MDM guardrails.

  • Secure SDLC & AppSec: Threat modelling, SAST/DAST, dependency/SBOM hygiene, secrets management, CI/CD hardening.

  • Vendor diligence: Sub-processor and SaaS reviews, data residency and contractual controls.

  • Readiness: Incident response playbooks, tabletop exercises, disaster recovery and business continuity.




Get Started with these Options

  • Advisory Retainer (½–2 days/week): Ongoing senior guidance, reviews and decision support.

  • Outcome Sprints (2–6 weeks): Fixed-scope engagements to deliver a defined artifact (roadmap, security uplift plan, AI pilot).

  • Interim Leadership (3–6 months): Hands-on fractional leadership to steer change while building internal capability.