AI and agentic workflow support
From a first use case to an implementation suited to your business: scope the project, prepare the tools, build a pilot and transfer skills to your team.
Where could AI help?
Start with a clearly identified problem. These are areas to explore together, depending on your data, tools and constraints.
Clarify your priorities
You have several ideas but are unsure where to start. Compare potential uses by their value, feasibility and the changes they would involve for your teams.
Prepare agents and their tools
GitHub Copilot or Claude Code adoption, a coding harness, a Copilot Studio agent or a business workflow: choose a useful scope with verifiable outcomes.
Support your teams
A tool alone does not establish new working practices. Connect the project to everyday tasks and identify the skills people need to make it useful.
Scope before you deploy
Scope, deliverables and timing are defined in the proposal. This approach provides a starting point for our conversation.
- 01
Understand the context
Describe the current process, the people involved and the intended outcome. Identify existing tools, available data and points of friction.
- 02
Select an initial use case
Define a focused use case and observable success criteria. Review access requirements, technical dependencies and data handling conditions.
- 03
Test on a small scale
Depending on the agreed scope, a trial can test the solution against real work. Compare results, errors and review effort before considering wider use.
- 04
Prepare for adoption
Clarify usage rules, responsibilities and training needs. Deployment and follow-up arrangements depend on the trial findings and your organisation.
Prepare a useful conversation
Describe an example task or process. You do not need to have chosen a technology. Avoid sending confidential data through the contact form.
Discuss your AI projectWhat to share
- The business problem and the teams involved.
- Current tools and the steps in the existing process.
- The intended outcome and how to measure it.
- Your timing, budget and data constraints.
An AI project may also reveal a training need. Explore our programmes or discuss a learning path for your team.