Our expertise

AI opportunity review and consulting

Big ideas. A clear first step. Identify useful AI opportunities for your teams. Review tasks, data and tools, assess feasibility and define a practical first project.

Your tools. Your rules. Your team in control.
Interactive example

Your opportunity radar

Choose an opportunity to compare.

Potential to explore ↑
START HERE
Ease of preparation →
Explore first

Structured documents. A practical first test.

In this example, files are available and fields are easy to check. A clear scope to start with.

Illustrative simulation. No real actions.

01

Priorities tied to the work that matters

02

A view of potential benefits and required effort

03

A focused first project to consider

AI consulting: assess and prioritise your use cases

Your team has ideas, a few tools it has tried and plenty of questions. The next step is to connect those possibilities to a specific piece of work: a request to handle, a file to prepare or information to find. We look at the time involved, the back-and-forth between systems and what people would like to do better.

The review brings together the people who understand the work and those who understand the tools. It reveals opportunities to explore and foundations to prepare, such as clarifying a rule, updating a source or checking a connection. Your organisation gets a shared view before investing in implementation.

Compare ideas on practical grounds

A frequent task is not automatically a good candidate for AI. Its value also depends on the quality of the available information, how the result can be checked and the impact of a mistake. We consider those factors together.

Question What it helps you decide
How much time does the task take today? A baseline against which to measure change
Which information and connections are available? Feasibility and useful preparation
Who checks results and handles exceptions? The appropriate level of delegation
What costs and effort should be included? Whether the project makes sense over time

Give your ambition a measure

We distinguish assumptions from observed results. Potentially released time is considered alongside review time, software running costs and support for users. Service quality and fewer corrections may also matter to your decision.

Each opportunity stays connected to the conditions it needs to work. An estimate helps shape a trial; measurements from that trial help confirm or revise it. This gives teams a basis for discussion when the first results differ from the original expectation.

Leave with a clear next step

You receive an order of priority, a proposed scope and criteria for assessing the first result. Responsibilities and dependencies are visible. The next step might be to build an assistant, connect a workflow or prepare missing information. You know why you are moving forward and what you want to learn. The decision remains yours, with enough context to make it together.

Good questions.
Clear answers.

Do we need to know which AI tool to use?

No. We start with your tasks and the results you want. Technical options come next, based on your information, software and constraints.

Does the review commit us to development?

No. It helps you decide whether to start a project, prepare missing foundations or keep your current process.

How is the schedule agreed?

We first agree the scope, the people to involve and the information required. These determine the schedule and are clarified before work starts.

Something in mind?
Let’s give it momentum.

Tell us what slows you down. We’ll explore the next step together.

Let’s talk about your projectA first conversation. A project that fits.