AI Workshops
We train your people to become your in-house experts on AI, covering the tools, the methods behind them and the limits worth knowing.
Building capability that stays with you: training, working alongside your teams, and measuring what actually gets used.
We train your people to become your in-house experts on AI, covering the tools, the methods behind them and the limits worth knowing.
We work inside your team on their own problems, introducing AI methods in practice so your people understand how those methods work and can use them once we have gone.
Reporting on what proportion of your people use which AI tools, and what that use costs, attributed by model, team and task, so you can see where to encourage more use and where to spend less.
Knowledge transfer is the deliverable here rather than a session at the end. At Gini we upskill analysts and modellers to design, deliver and govern these systems, working on your own problems and your own data, so what your team practises on is the work they will keep doing after we leave.
How these systems fail, more than how to prompt them. Retrieval design, evaluation, the boundary between what a system decides and what a person decides, and the governance the framework requires. Gini pairs the technical content with your own use cases, because the general course your team can already find online is not the gap.
Because your team ships something. At Gini we measure the outcome by what your people build and maintain without us, on a problem you chose, rather than by attendance or by a satisfaction score. Where the capability has not landed, that is visible quickly and worth knowing early.
Yes, and the useful form is usually light. Design review on the first few builds, a second opinion on evaluation sets, and availability when something breaks in a way the team has not seen before. The intent is that Gini withdraws as your people become the in-house experts on what we built together.