Free Ebook
Practical AI for Mid-Size Teams
What to build first when you don't have a research department
Most AI guidance is written for organisations with data scientists on staff. This guide is for the ones without: what to build first, which problems are tractable with off-the-shelf models, where an existing vendor feature beats a custom build, and how to keep a small team productive without taking on research risk.
Who it's for
Technology leaders at 50–500 person companies with no dedicated data science function.
What you'll take away
- A shortlist of AI use cases that work without bespoke models
- A build-vs-configure decision test you can run in an afternoon
- A lightweight evaluation method for judging whether output is good enough
What's inside
- 1Where the tractable wins are: classification, extraction, search, drafting
- 2Buy, configure, or build — deciding per use case
- 3Using the AI features already inside your existing stack
- 4Evaluation sets: the artifact that keeps you honest
- 5Keeping a human in the loop without losing the saving
- 6Staffing it: who does this work when nobody's title says AI
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Prefer to talk it through?
Book a free 30-minute call and we'll apply the same thinking to your situation.