Enterprise architecture and consulting
Strategy work with large organisations taught us how to turn a good idea into something that survives governance, politics, and delivery pressure.
Training, strategy, and implementation
Most AI pilots stall. We make them ship.
A&O helps mid-market companies turn AI from a portfolio of pilots into a way of operating. We do three things: train your people, set the strategy, and build what's needed to make it real.
Proof
Proof, not promises.
A&O is led by Robin Fitzpatrick, with proof grounded in delivery experience, shipped systems, and the kind of operational judgment that keeps AI work moving once it leaves the slide deck.
Engineering operations
Working close to delivery made the failure modes obvious: pilots stall when ownership, sequencing, or operating discipline is missing.
Production AI systems
The site is backed by a live multi-agent system, so the advice is grounded in shipping systems, not just talking about them.
Selected experience across Trulioo, Accenture, and Techstars-backed companies.
The problem we solve
AI work stalls in the gap between intent and operations.
Pilots don't become production.
Most companies have run a dozen AI experiments. Few have shipped a system that changes how the business operates. We close that gap — from feasibility to deployment to the day-two work nobody warns you about.
Teams don't adopt what they don't understand.
AI literacy is the difference between a tool that gets used and a tool that gets ignored. We train executives, operators, and specialists at the level each needs — and we measure adoption, not attendance.
Strategy decks don't run themselves.
A roadmap that nobody owns is a roadmap that nobody executes. We design strategy alongside the people who will deliver it, then stay close enough to know when the plan needs to change.
Locate, Land, Live framework diagram
Locate
Discover
- Prioritised opportunities with feasibility scores
- Target operating model shaped around the work
- Roadmap leadership has argued through
Land
Deliver
- Systems built alongside your teams
- Training runs in parallel
- Production work starts immediately
Live
Stabilise
- Transfer of ownership and documentation
- Operating discipline hardened in the real world
- Support through the handoff and stabilisation
Locate → Land → Live
A simple operating rhythm for moving from pilots to production.
Locate where AI changes the business, not where a tool looks impressive. Land the systems with the teams who will own them. Live through the first weeks of operational reality.
The framework keeps strategy, training, and implementation connected instead of handing work from one silo to the next.
Selected experience
Relevant work, with provenance made explicit.
Identity verification platform: agentic AI strategy and engineering operations.
North American identity verification SaaS unicorn, ~300 engineers.
Founder’s role: Director of Engineering Operations (not as A&O).
Global consultancy enterprise architecture engagement: digital transformation strategy.
Large enterprise client of a top-five global consultancy.
Founder’s role: Enterprise Architect / Consulting Manager (not as A&O).
Content cluster
Build topical authority around the problems buyers actually have.
These are the pages that should attract traffic, answer search intent, and feed the service pages with internal links.
Why AI training fails when it stops at vocabulary
What training has to include if you want adoption, not applause.
What an AI readiness assessment should actually answer
The questions to answer before you spend money on tools.
Why AI pilots stall before production
The handoff from demo to deployed system is where most projects die.
Governance that helps AI move faster
If governance slows every decision, it becomes theatre.
Agent product analytics: why the run matters more than the session
A practical framework for measuring agentic AI workflows by delegated work, trust, and business value instead of vanity activity metrics.
Start the work