Consulting and productised architecture
I work with organisations that need clarity, governance and delivery around complex systems: AI, data, integration and enterprise applications. Below are typical engagement shapes that can be tailored or productised for your context.
Architecture consulting engagements
Architecture vision & roadmap
Define where you are, where you’re going, and how to get there without losing control.
- Architecture Vision Document (baseline, target, principles, risks)
- Business, data, application and integration architecture views
- Traceability from requirements to architecture work packages
Integration & application modernisation
Move from fragile point-to-point integrations and monoliths to resilient, observable architectures.
- Application inventory, capability mapping and technical debt analysis
- API-first, event-driven and microservices decomposition
- Migration strategies involving ESBs, legacy and cloud iPaaS
ML/Agentic AI architecture
Turn AI ideas into production-grade solutions with clear boundaries, governance and cost control.
- LLM, tools (MCP), RAG and vector DB architecture
- Azure AI Search, OpenAI and observability patterns
- Data residency, security and compliance considerations
Repeatable solution offerings
Architecture governance starter kit
A lightweight, practical governance model that fits Agile delivery and your existing teams.
- Architecture Review Board design and operating model
- Minimal, effective artefacts and decision records
- Templates for standards, patterns and reference architectures
Integration blueprint for HR & Finance
A reference architecture for integrating HR and Finance platforms (e.g. Workday, ADP, Dayforce, Snowflake, NetSuite).
- Canonical data flows and integration patterns
- Batch, API, event and streaming patterns per use case
- Monitoring, observability and cost management guidance
GenAI on low-code platforms
A pattern for embedding GenAI into low-code environments (e.g. Salesforce, D365) safely and effectively.
- Use case discovery and prioritisation
- Architecture for secure AI integration
- Governance and monitoring for AI features