AI for accelerating innovation and productivity on Biztech

The AI Landscape

Mon, 01 Jan 0001 00:00:00 +0000

Module one, and the one people are most relieved to have sat through.

We go through the vocabulary — model, agent, hallucination, fine-tuning, retrieval — and say plainly what each one means, with examples from work like yours. Then we look at what the technology can do today, what it cannot, and how to tell the difference when a vendor is in the room.

AI Readiness Workshop

Mon, 01 Jan 0001 00:00:00 +0000

Less a lecture, more a working session. You bring your processes; we bring the questions.

By the end your team will have picked out the handful of tasks where AI earns its keep, ruled out the ones where it would only get in the way, and named the things — data, permissions, skills, a person with time — that have to be in place first.

Risks

Mon, 01 Jan 0001 00:00:00 +0000

Every technology has a way of going wrong. AI has several, and most of them are unfamiliar.

We work through the failure modes one at a time, with real cases, and then work out which of them your organisation is actually exposed to. Some will not apply to you. The ones that do tend to be the ones nobody had thought about.

Governance

Mon, 01 Jan 0001 00:00:00 +0000

The last module turns the first three into something you can act on.

We draft the shape of a policy your organisation would actually follow: who approves the use of a tool, what gets written down, who to tell when something goes wrong. Short enough that people read it, specific enough that it settles arguments.