Understand
Look at the current job, the information it needs and the result you want.
We build the system, involve your team and make sure they know how to use it. The scope is shaped around the job you need to improve, the people using it and the realities of your business.
Look at the current job, the information it needs and the result you want.
Define scope, responsibilities, cost, dependencies and how the result will be assessed.
Develop the solution with realistic examples and feedback from the people using it.
Walk through the agreed workflow, clarify operating responsibilities and decide what follows.
Not every step needs to be automatic. Some systems should prepare a draft, find a source or organise information, then wait for a person to approve the next action.
We discuss the consequences of a wrong answer, which actions need approval and how people can check or correct the result. Missing information, low-confidence answers and failed connections need a route back to a person, not a convincing guess.
Identify the information the system needs, who can access it and which services handle it. Any privacy, retention or industry requirements need to be checked against the agreed use case.
Agree which accounts, materials and custom work you own or control. Third-party software, models, licences and subscriptions have their own terms. Those dependencies should be visible.
Agree the scope of documentation, team walkthroughs and any support. Maintenance, further development, third-party costs and changes in service behaviour should not be left as assumptions.
Have something more specific in mind? Let’s talk about your business.
Usually someone who owns the problem, people who do the work and whoever can approve access to the relevant systems. The exact involvement depends on the scope.
Possibly. We assess existing tools first and identify additional software, usage charges or hosting requirements before you commit to that approach.
We discuss the effect on scope, cost and timing rather than assuming a change is included. Testing may also show that an idea needs to be narrowed, revised or stopped.
No. AI outputs can be wrong or incomplete. The design needs appropriate source checks, human review and limits on what the system can do, especially where errors have serious consequences.
Bring one process, a list of ideas or a product you’d like to develop. We’ll discuss what’s possible and a sensible next step.
Book a free 60-minute session