- Who it's for
- Organisations modernising a platform, an ERP, or an estate — and unwilling to be the last party in the room to understand what they bought.
- What triggers it
- An ERP programme. A platform end-of-life. A requirements exercise where the vendors are writing the requirements. A new venture that needs its technology defined before procurement starts.
- First thirty days
- Requirements and constraints in writing — data classification, cross-border data handling, security by design, business impact analysis, continuity planning, recovery objectives. Then a vendor landscape you can actually compare.
- What you own at the end
- An architecture you can defend, procurement criteria written before you meet vendors, and a roadmap sequenced by risk rather than by sales cycle.
Enterprise architecture
Enterprise technology architecture across network, infrastructure and hybrid cloud — with data classification, cross-border data handling, security by design, business impact analysis, continuity planning and recovery objectives treated as part of the architecture rather than an appendix to it. Structured to ISO 38500 governance principles and ISO 42010 architecture description practice.
Applied as Infrastructure Lead on a PwC-led enterprise ERP and business transformation programme, directing architecture, security, resilience and connectivity readiness across internal teams, consultants and vendors.
Digital transformation and ERP modernisation
ERP and platform transformation: infrastructure readiness, integration, and the transition of a new platform into an environment that can actually support it after go-live.
Infrastructure Lead on a PwC-led enterprise ERP transformation across a 13,000-user institution, coordinating architecture, security and operational requirements across internal technology teams, institutional stakeholders, consultants and vendors.
Intelligent automation
Workflow and evaluation automation built under governance — defined agent roles, human approval gates, single-source outputs, and controlled reporting. Aligned to NIST AI Risk Management Framework practice.
Designed and built a multi-workflow automated evaluation system with a three-tier model pipeline for scoring, rubric design and structured reporting, generating dual-format outputs from a single source of truth to eliminate score drift across concurrent assessments.
Healthcare advisory
Fits: healthcare, diagnostics, and new-venture technology definition
Enterprise requirements definition and vendor-landscape advisory for clinical and diagnostic organisations — clinical and EMR platforms, imaging, RIS and PACS, enterprise ERP, digital experience, and locally hosted AI, with commercial and open-source routes compared rather than assumed.
Prepared the enterprise requirements and vendor landscape for a proposed AI-enabled diagnostic, outpatient and telemedicine venture — governed under NIST Cybersecurity Framework 2.0, with a tailored NIST SP 800-53 control baseline, zero-trust principles, PACS security guidance, and NIST AI RMF controls for locally hosted AI.