Is your business ready for practical AI?
We work inside mid-to-large organisations to make AI governable — advising, selecting the right tools, implementing them, and building what does not exist. We can prove what we recommend, because the Tork group runs governed AI in production itself.
“Tork is a seatbelt for AI. Not invincibility — but the difference between an incident you can explain and one you cannot.”
spine
Every node writes to the same spine. Hover a node to see what it does and where it sits.
Deployment is outrunning governance.
AI is already in your organisation. It is in the tools your teams bought, the features your vendors shipped without asking, and the assistants your staff signed up for personally. Very few organisations can produce a list of it.
Ask a simple question — which model saw customer data last quarter, who approved it, what did it decide — and most cannot answer without a manual investigation that takes weeks.
That is not a technology gap. It is an evidence gap, and it is the one that turns an ordinary AI incident into a regulatory one.
Six modes along one path.
Most engagements use several of these. Where a Tork node is the right answer we will recommend it and say why; where your existing stack already does the job, we integrate with it.
Advise
Where you actually stand, and what your regulatory exposure looks like once someone asks. Written for a board, not a workshop.
Curate
Assembling the right stack for the problem — our nodes, your existing platforms and market tools, scored against criteria you agree before we start.
Implement
Standing the chosen stack up inside your environment, integrated with what you already run, and governable from the first day it is live.
Extend
Where a Tork product is genuinely the right fit, we configure and tailor it to your processes rather than forcing your processes to it.
Build
When nothing on the market fits, we build it — governed the same way everything else in the estate is governed.
Enable
Training your people to run and extend what we built. The measure of success is that you stop needing us.
Five stages. Each one leaves something behind.
Every stage ends with an artefact your people own, not a presentation.
Diagnose
Inventory the AI already running — sanctioned and not — and test it against the obligations that apply where you operate.
Design
Decide the controls, the tooling and the accountability structure. Agree what good looks like before anything is built.
Deliver
Implement, integrate and configure. Controls go live incrementally, highest-exposure use case first.
Prove
Demonstrate that the evidence produces itself: a real question from risk or audit, answered from the record.
Hand over
Train your owners, taper our involvement, and leave the capability to extend the controls without us.
We recommend what we are willing to be held to.
We back our own tools, because we are the ones who have to make them work.
A neutral broker recommends a product and walks away when it disappoints. We recommend the Tork network because we built it, we run it in production, and we stay accountable for the outcome long after the recommendation. Where you already own something that does the job, we integrate with it rather than replace it for the sake of it.
We run governed AI ourselves, so we can show the receipts.
The group operates twelve governed AI products on one tamper-evident audit spine — three open and the rest running for named clients. Every model call is intercepted, stripped of personal data, policy-checked and receipted.
Where the pressure is specific.
Banking
Model risk management and prudential obligations meeting generative systems that were never designed to be explained.
Asset finance
Credit decisioning and document automation where every determination has to be reconstructable years later.
Equipment rental
Pricing, utilisation and condition assessment across dispersed fleets and thin data.
Field operations
Inspection and safety-critical judgement made at the edge, often offline, by people who are not analysts.
Education
Student data protection and academic integrity, under scrutiny from regulators and parents at the same time.
Enterprise
Large organisations with AI spread across business units, where the hard part is one consistent control regime rather than any single use case.
Most consultancies arrive with a methodology. We arrive with working software.
Twelve production AI products, governed by default, all writing to the same tamper-evident audit spine. They are not the answer to every engagement — where your existing stack is right, we say so and integrate with it. But where there is a gap, we are not starting from a blank page.
Tork Govern
The governance layer everything else stands on. It sits between your AI and any model provider, strips personal data, enforces policy at the moment of execution and issues a tamper-evident receipt on every call. Adopt any other node and this comes with it.
Tork Tower
One screen over every governed system. Policies publish outward, receipts and verdicts flow back — and the person who is accountable can answer what the organisation's AI did last quarter in seconds, not in weeks of interviews.
Starting points, not products on a shelf.
Every node is built to be shaped. We reconfigure data models, workflows, policy sets, branding and integrations to match how you actually operate — and where you need something the network does not cover, we build it and govern it the same way.
Several nodes exist today because a client needed something specific and we built it properly rather than working around it.
Practitioners, not a bench of graduates.
The people who show up to your engagement are the people who built and now operate the group's governed AI. Team names, credentials and photographs go here once you confirm them.
Tell us what you are trying to do.
Forty-five minutes with the people who would run the work. No pitch deck. If we are not the right partner we will say so on the call.