I take an AI plan from a first pilot to a tool your team uses every day: the use case, the data, the build, the testing, the review points and the handover.
An AI implementation consultant turns an AI plan into something that runs inside the business, used by real people on real work.
A plan or a promising demo is a start. Implementation is the rest: the data access, the testing, the review points, the connections to your systems and the handover that let a tool become part of how the work gets done.
I have done that inside a regulated firm. As Head of AI & Automation at Alter Domus, a global fund administrator, I took domusAI from a 605-person beta to more than 4,000 people using it every day, and put 53 automations live, six of them global. The full track record is on the AI for financial services page.
I also build my own AI products, including The Counsel, an open-source legal assistant for England and Wales, and Go Bananas AI, an image-creation workspace with AI assistant integration. Advice and build sit with the same person, so nothing is recommended that can’t be delivered, tested and handed over.
Book a free 30-minute AI consultationImplementation is everything between “this could work” and “this is how we work now”.
- Picking the first use case. One task that repeats, has a clear owner and a result you can measure, chosen for value, effort and risk.
- Data access. Agreeing which sources the tool can read, what it can write and where data is stored, before anything is connected.
- Building. The assistant, agent or automation itself, built in focused increments you can see and try as it grows.
- Evaluation with real examples. A set of representative cases, including the awkward ones, that the tool is tested against before launch and after every change.
- Human review points. Deciding where a person approves, corrects or takes over, especially for anything irreversible or client-facing.
- Integration. Connecting to the systems your team already uses, so the tool fits the work instead of adding another screen.
- Handover and ownership. Documentation, a team walkthrough and a named owner, so your team can run it without me.
- Monitoring. Logs, a way to spot errors and drift, and an agreed route for raising and fixing issues after launch.
Pilots commonly stall for reasons that have little to do with the model.
- No owner. The pilot belongs to an innovation team, and nobody in the business is responsible for using it.
- Demo data. It worked on tidy examples and struggles with the messy, incomplete inputs of real work.
- No agreed test. Without real examples and a measure of success, nobody can say whether it is good enough to rely on.
- Access arrives late. Security, data protection and IT questions are raised at the end instead of settled at the start.
- No review design. Without a clear point where a person approves the output, switching it on feels too risky.
- Nothing to hand over. When the builder moves on, nobody can maintain it.
In a regulated firm, the controls are what let a tool reach production. That side of the work is on the AI governance consultant page.
It suits organisations that know roughly what they want AI to do and need someone to make it work.
- You have a pilot or proof of concept that never reached daily use.
- You have an AI plan and need it built, tested and connected to your systems.
- You work in a regulated or data-sensitive business and need review points and an audit trail designed in from the start.
- You want your own team to own and run the result.
It is probably not the right fit if:
- You are still deciding whether AI is relevant to your business at all. A short piece of AI strategy work is the better first step.
- You want an AI transformation consultant to run a firm-wide change programme with a large team. You work directly with me, and any specialists are agreed during scoping.
- You want hands-on help with your own tasks month by month rather than a project. The monthly AI partner service suits that better.
- You want a tool switched on with no testing and no human review.
It starts with a free 30-minute AI consultation about the task, the people and the systems involved.
If there is a sensible first project, the scope, fee, responsibilities and timeline are set out in a written proposal and agreed before anything is built. The work then runs in four stages: discover, design, build and validate, then launch and hand over.
You see working increments throughout, tested against your own examples, and you finish with documentation, a team walkthrough and an agreed support scope.
Read the responsible AI principles, or ask directly.
Book a free 30-minute AI consultationWhat does an AI implementation consultant do?
Takes an AI idea or plan and makes it work in the business: choosing the first use case, arranging data access, building and testing the tool on real examples, designing human review, connecting it to your systems and handing it over with monitoring in place. At 3rd Eye AI the same person advises and builds.
Is this agentic AI consulting?
It can be. Some workflows need an AI agent that reads, decides the next step and uses your tools. Others need a simpler automation with one AI step in it. I choose whichever is more dependable for the task, with a person approving anything irreversible. There is a plain-English guide to what an AI agent is.
How much does it cost, and how long does it take?
Both depend on the task, the systems involved and how ready the data is. After a free 30-minute AI consultation, the scope, fee, responsibilities and timeline are set out in a written proposal, with one-off build costs separated from monthly running costs.
Can you work with the systems we already use?
Usually, yes. The aim is to connect the tools your team already relies on. Where a system can’t be connected safely, I say so during scoping. Tools are chosen for the job, not the other way round.
Who owns what is built?
Ownership is agreed in the proposal, and the aim is that your team owns it. The prompts, workflows and documentation are handed over with a team walkthrough and an agreed support scope.
How do we start?
Book a free 30-minute AI consultation. Bring the plan, pilot or task you want to move forward, and we look at what implementation would involve, with no obligation.