01
Process
Map it and fix it before you touch AI. Don’t spend tokens automating a broken process.
AI advisory & implementation
From intent
to production.
Tillerbridge gets AI across inside the company you already run: the systems, the workflows, and the guardrails to run them safely. A senior team that covers both the engineering and the operation. No bench, no handoffs.
Our approach
One loop, run over and over, on two foundations we set before anything ships.
The loop 
02
Automation
Automate the improved process. Sometimes one good prompt, sometimes a pipeline. You’re paving a road that’s already in the right place.
03
Visibility
Measure what’s running, what it costs, and what it returns. What you see feeds the next round of process.
The foundation 
Governance
The rules and who owns them. Approved tools, decision rights, data and vendor agreements, model choice, and what’s allowed where.
Safety
The human side of risk. People trained, private information kept private, no personal accounts or shadow AI, and a clear way to flag when something looks wrong.
The problem
Most enterprise AI deployments fail.
Not because the models don't work. Because the work around them doesn't.
- A model that works in a demo, but no one will put it near a real customer.
- A dozen pilots, and nothing that reached production.
- An auditor asks how a decision was made, and there is no answer.
- AI creeping in on personal accounts, with no rules and no record.
- A vendor tool you can't audit, can't staff, or turn off.
None of these are model problems. They are process, governance, and the space between people and machines. That is the work we do.
Start here
A fixed-scope assessment, then only what it earns.
Every engagement opens the same way. We take a short, fixed-scope read on one part of your operation and hand back a concrete recommendation. If the answer is don't build this, we say so, and you have still saved the money.
- Time
- 3–6 weeks
- You get
- A written recommendation, a scoped build plan, and a go or no-go call you can take to a board.
If it's worth building, the path continues into build and run.
What makes AI work
The model is the easy part.
Anyone can call an API. The value is in the three things around it, and that is where most projects come apart.
Context
Grounding the model in your data, systems and rules, so the answers are yours and current, not generic.
Prompt
How you ask, and how you check the answer. Clear instructions and real evaluation are the difference between reliable and a party trick.
Agents
Multi-step workflows with the right tools, and a person in the loop where it matters. This is what turns a chatbot into work that gets done.
Our thinking
We publish what we'd tell you anyway.
No gates, no email wall. The same references we work from, free to read.
Guide What AI consulting actually costs The real drivers behind the range, and how to read a quote before you sign it. Read → Reference NIST, ISO 42001 and the EU AI Act, side by side One crosswalk of the three frameworks your auditors will ask you about. Read → Checklist Are you ready to build? Six dimensions to score honestly before you spend a dollar on AI. Read →
Straight dealing
No commissions, no lock-in, no theater.
We don't resell software, take vendor commissions, or build things only we can maintain. If AI is the wrong answer for a problem, we'll tell you and save you the money. Trust is easier to keep than to win back.
We also run two non-commercial organizations: the Institute of Applied AI , which publishes public research on enterprise AI, and the Association for Executive AI Leadership , a vendor-free peer network for executives. Common founders, separate brands, nothing funnels: neither sells anything, including us. They exist to get the thinking right, and you're welcome to judge our work by them.
Who we are
Builders and operators.
Most AI projects fail between the technology and the operation. So we cover both seats: the people who build the systems, and the people who have run the kind of teams they land in.
Tillerbridge is a senior team, with Nick Major on engineering and product and Isaac Major on operations. Who we are, and where the name comes from, is on the about page.
Questions
A few things people ask.
- Who actually does the work?
- We do. There is no bench and no handoff to a junior team after the sale. What you see in the first call is who builds the thing.
- What does an engagement look like?
- It starts small: a short, fixed-scope assessment of one part of your operation, with a concrete recommendation at the end. If the recommendation is "don’t build this," we’ll say so. Larger implementation and advisory work only follows when the small piece has earned it.
- Do you resell software or take vendor commissions?
- No. We take no referral fees and resell nothing, so a recommendation only ever has one reason behind it.
- What size of company do you work with?
- Mostly established companies from a few hundred to tens of thousands of employees, in traditional industries. The hard parts there are legacy systems, regulation, and change, and that’s the work we like.
Tell us about the work.
A few lines on what you're trying to do is enough. We read every enquiry ourselves and reply within one business day.