Offerings
Consulting focus areas across cloud architecture, platform engineering, and applied AI.
I work with organisations that need design decisions connected to delivery across cloud architecture, platform engineering, and applied AI. These are the areas where I can contribute, whether as a consulting architect, an embedded team member, or a technical advisor supporting an initiative already in motion.
Cloud architecture design grounded in real operational constraints — landing zones, networking, identity boundaries, cost models, and the structural decisions that determine whether infrastructure scales or stalls.
Best suited for: Organisations standing up new cloud environments, migrating workloads, or restructuring existing platform foundations.
Early-stage shaping of solution options, architecture decisions, trade-offs, and delivery direction. Covers the work that happens before committed build — scoping, option assessment, constraint mapping, and documented design.
Best suited for: Initiatives where the technical direction is not yet settled, or where architecture clarity is needed before engineering begins.
Architecture and delivery support for applied AI use cases — retrieval-augmented generation, governed assistants, internal knowledge workflows, and the platform layer required to make AI use cases operationally manageable rather than purely experimental.
Best suited for: Teams exploring AI capability within existing enterprise platforms, with governance and operational visibility as requirements.
Delivery-path improvement across CI/CD pipelines, IaC standards, environment management, release workflows, and the operational patterns that reduce friction between architecture decisions and running systems.
Best suited for: Engineering organisations where infrastructure delivery is too manual, too slow, or too inconsistent across teams.
Architecture-grounded definition and build direction for internal platforms, technical prototypes, and decision-support tooling. Focused on proving feasibility and informing investment — not shipping consumer products.
Best suited for: Internal teams exploring a new capability, validating a technical direction, or building an evidence base before committing to full delivery.
Engagements are shaped to the situation. There is no fixed package model — scope is agreed based on what the organisation actually needs.
Every engagement is scoped to produce artefacts the team can use after the work ends. These are the typical outputs — shaped to the engagement, not delivered as a fixed template.
Engagements are scoped to context. If you have a current initiative or technical challenge, I can help shape the next practical step.