Governance-first · Claude-native AI transformation
We significantly reduce shadow AI usage, train your people on Claude, and build the operating system around how they really work, and the gains compound. Same team. More capacity. Over a 6 to 12 month roadmap, not overnight.
Last year an MD showed me eleven AI subscriptions across his team. They used two. Nobody had written down which problem each tool was meant to solve, so the rest sat there unopened. We mapped the actual work, found the three real pain points, and killed eight tools before we went near a model.
So we start with the unglamorous part. Your people, your processes, your culture, mapped and governed first. Get that right and the technology is the easy bit.
The First Step
Your people are already using AI. The real question is whether anyone has set the rules yet. We start by making it safe, on two fronts at once.
Human governance is the AI Manifesto: red lines, green lanes, and a team that moves from fear to confident use. Technical governance is ISO 42001, certification-ready, mapped to the jurisdictions you actually trade in.
Get this right and adoption stops being a fight. Your people trust the system, so they use it. That is why governance is step one. We install the guardrails before a single workflow gets built.
Safety. The policies, red lines, and technical controls that protect your business and your people.
Culture. The manifesto, the mindset shift, and the human adoption that makes governance real.
System. The ISO 42001 framework, certification-ready, mapped to the jurisdictions you trade in.
Human governance and ISO 42001-ready technical governance. The rules, the red lines, and the culture shift that turns fear into confident use.
The operating system is built around your real work. Your context, your voice, your workflows, and a knowledge base that improves itself.
Your team learns to run their real work inside the system. A method, not a search engine. The bit that makes the whole thing stick.
The gains stack. Same team, more capacity, over a 6 to 12 month roadmap. The system gets better the more it is used.
The build
A working system built around your business. It runs the repeatable work with you, so your team spends its hours on clients, not admin. Claude reads your files, writes in your voice, and produces real work in your folders. Five pillars.
Claude already knows your strategy, your offers and the way you actually work.
It writes as each person, in their tone and their role, not as a generic chatbot.
The expertise of each job, encoded as skills, for sales, ops, finance and the rest.
The repeatable work runs on a schedule, briefings and reports drafted before you ask.
It gets sharper the more you use it, every job feeding a memory that compounds.
The standard way in is a SPARK Discovery. We discuss your business, baseline your culture and strategy, and map your AI opportunities. Your £5,000 investment shows where AI fits your actual workflows before a penny goes on the build.
The front door
Methodology, not certification. Most AI training teaches prompting and stops at lunch. We teach your team a method that compounds across their work, and we build the system underneath it. The only people teaching the compound effect, because we are the only ones building the operating system behind it.
One team, up to 10 people. The hands-on day on your real work. Leave with workflows you use Monday morning.
Larger group, up to 20. A tailored pre-day scoping call, the six modules, and a post-day adoption plan so it sticks.
Not how to prompt. How to structure and lead the biggest technological adoption in our lifetime: what works, where AI fits the business strategy, the governance that keeps it safe, and the people and processes that accelerate growth.
Proof
IgniteAI is the case study. Bootstrapped in January 2025. A 34-company portfolio, around 60 live projects, run by a team you can count on one hand. The same operating system we build for you, we built for us first. We proved it worked, then shared it.
I am scaling 5.3x using this exact method. Not a framework I read about. The operating system I run every day.
Named client case studies land here as our deployments go live. We do not borrow numbers we cannot stand behind.
About
Chris Duffy. Royal Signals and Ex Special Forces Communicator, 23 years. Certified Chief AI Officer. Featured in Forbes. Two decades spent getting the right information to the right people at the right time, to inform mission critical decisions.
Same job. New tools.
The trust is earned through doing, not given by my history.
People First. Technology Second.
Trusted, partnered, proven
Nominated for 3 awards, including the AIconics Responsible AI Award 2026
