Priorities with a rationale
Use cases, required data sources, obstacles and a recommended order. The reason for choosing the first workflow is explicit.
AI consulting
A clear direction for your AI project.
We identify where AI can help your team and what it takes to turn an idea into a project: data, responsibilities, cost and a way to evaluate results.
Decisions before development
Where to start — and why there.
For leadership, operations and IT teams choosing a first project or reviewing an existing AI implementation plan.
Which task should come first?
We talk to the people doing the work: what they copy, where they look for information and which steps need checking. A pilot candidate needs a known input, a useful output and someone who can assess the result.
- A workflow map and points of manual work
- Priorities based on value, data and complexity
An existing tool or a custom solution?
We compare what available tools can already solve with cases that need your own data, specific rules or an integration. The assessment covers licences, model usage, maintenance and supplier dependencies.
- Comparison of approaches and their limitations
- A recommendation with cost assumptions
What does the first pilot look like?
We define one workflow, selected users and a set of test examples. We agree on the expected output, unacceptable errors and where human confirmation is required.
- Scope, dependencies and responsible people
- Test examples and acceptance criteria
How do we prepare employees?
Workshops use the team’s documents and tasks. We cover response review, data handling and error reporting so that adoption does not depend on a single enthusiast.
- Guidance for actual work tasks
- Agreed rules and a process owner
What the assessment delivers
A basis for decisions and delivery.
A pilot specification
Inputs and outputs, user steps, permissions, automation boundaries and systems that need connecting.
An evaluation and cost plan
A test set, acceptance criteria and a cost estimate with stated assumptions. A basis for deciding whether to continue.
Example scope
An assistant for internal procedures.
A team repeatedly looks for the same information in policy documents. A first step could be a small assistant working with selected, current documents.
What we agree before building
- Who maintains the documents and how the current version is identified.
- Which questions the team asks and what a verified answer looks like.
- When the assistant should say that there is insufficient information.
- Who may view each document and reviews the pilot results.
Let’s connect
Which process would you like to improve?
For the first conversation, a task description, your current tools and a few examples without sensitive data are useful.