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.
AI consulting in Vancouver
Most AI pilots stall. We make them ship.
A&O helps mid-market companies get AI from zero to one, then make it last. We train your people for the long term, help you become an AI-native organisation, and design systems that keep working after we leave.
Twenty minutes. You'll leave with one concrete next step, whether or not you hire us.
Founder's experience includes work with
Google, BC Hydro and TELUS through engagements at Accenture; Accenture and Trulioo as employers. Professional background, not A&O clients or endorsements.
Recent work
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.
- engineers at Trulioo, where Robin ran engineering operations
- ~300
- engineers at Trulioo, where Robin ran engineering operations
- applications migrated to Google Cloud for TELUS
- 100+
- applications migrated to Google Cloud for TELUS
- cost reduction on Google's AI assistant quality programme
- ~15%
- cost reduction on Google's AI assistant quality programme
From prior roles, not A&O client work. Details on the Work page.
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.
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.
Five ways to start
Get ready. Train the people. Shape the product. Ship it.
Each one stands alone. Most clients start with readiness and grow from there.
01AI Readiness
AI Readiness Assessment
$1,500 fixed· 1 week
What AI you already use, which pilots to finish, fix or stop, and the three things to do first.
02Training & Transformation
AI That Sticks
From $2,500· Half-day or full program
Hands-on training on real workflows, and the roles and habits that make an organisation AI-native.
03Product Strategy
Product Strategy Sprint
From $1,500· 1 week
Decide what to build, for whom, and where AI genuinely changes the product, before anyone writes code.
04Agentic Software Delivery
Agentic Delivery Pilot
Fixed price, scoped on the call· 3–4 weeks
Redesign how your team builds software around AI agents, so faster output becomes faster delivery.
05Ship End-to-End Product
Ship One Thing
From $8,000· 2–4 weeks
From idea to a live product in users’ hands: built, deployed and handed over.
Who you work with
You work with me, not an account team.
I'm Robin Fitzpatrick. I've spent my career on the delivery side of large technology programmes: enterprise architecture and delivery at Accenture for clients including TELUS, BC Hydro and Google, then Director of Engineering Operations at Trulioo, an identity-verification unicorn with roughly 300 engineers.
That's where the point of view comes from: I've watched enough AI work stall between the strategy deck and production to know it's rarely a model problem. It's an ownership, sequencing, and operating problem.
A&O is deliberately small. The person who scopes your engagement is the person who does the work.
Selected experience
Relevant work, with provenance made explicit.
Trulioo: two agentic AI products shipped into a ~300-engineer organisation.
Engineering velocity up ~50%, delivery reliability up ~15%, engineering operations made permanent.
Founder’s role: Director of Engineering Operations at Trulioo (not as A&O).
TELUS: future-state architecture and 100+ applications moved to Google Cloud.
Architecture co-created with the C-suite; follow-on phase signed.
Founder’s role: Enterprise Architect / Consulting Manager at Accenture (not as A&O).
Content cluster
The questions leaders ask before they commit.
Field notes on getting AI from pilot to production, training that sticks, and building an AI-native organisation. Read these before you spend on anything.
Ten things companies should be thinking about in AI right now
Agents are leaving the pilot stage, value is flat for most companies, and the bottleneck has moved from writing code to checking it. What matters for a mid-market company in late 2026.
Will AI replace your employees? What business owners should actually do
AI replaces tasks before it replaces jobs. What changes in your team's daily work, which skills matter by role, and how to train people so it sticks.
What is agentic AI? A plain-English guide for business leaders
Agentic AI takes actions, not just answers. How it differs from automation and chatbots, what it is good for, the real risks, and how much human oversight it needs.
Twelve questions to ask before anyone builds your AI product
Most AI products die between the demo and production. The questions that catch the problems early, and the answers a good partner should give you.
An AI-driven development lifecycle, in practice
AWS calls it AI-DLC: AI plans, asks and builds, humans decide. I run a version of it every day. Here is what transfers to your team, including the failures that taught it.
From idea to live product: end-to-end AI app development for small businesses
What end-to-end AI app development actually involves: the stages, realistic timelines, what drives cost, the challenges to plan for, and what it takes to keep the app running.
Why AI pilots stall before production
Most enterprise AI pilots never ship. The blocker is almost never the model — it is ownership, integration, and the day-two work nobody scopes.
How to become an AI-native company when you weren't born one
AI-native is usually defined so that only startups qualify. Here is the version that works for a 30-year-old business — built on your people, not your org chart.
What should a small business AI policy say? One page is enough
An AI policy only works if people follow it. The six things a one-page AI usage policy needs, with a template you can adapt this week.
Start the work