Scoping Your First AI Implementation: From Brief to Production

Companies that have committed to AI know what they want to achieve. Fewer know where to start. The first scoping decision — which use case to build first — determines how the rest of the programme goes. Get it wrong and you spend six months on something that cannot demonstrate ROI. Get it right and you have a production agent, a replicable process, and a board that wants more.

In this session, we walk through how Kowalah scopes a first AI implementation: the framework for evaluating use cases, the definition process that turns vague ambitions into a buildable brief, and the governance decisions that need to be made before anyone writes a line of code.

We cover the full arc from first conversation to go-live: what a 6-week implementation timeline looks like, where projects get stuck, and what companies that reach production in weeks do differently from those that spend months in planning.

What you'll learn:

• The criteria that make a good first AI use case — and the ones that look promising but aren't
• The scoping process we use to go from 'we want to do AI' to a defined brief in days
• What needs to be true before you start building: data access, governance, stakeholder alignment
• How a 6-week sprint from brief to live actually works — and where it breaks down
• How to set up the first implementation so the second one is faster

Who should attend:

CIOs, CTOs, Heads of AI, and programme leads at companies that have committed to Anthropic or are planning their first serious AI deployment. Relevant for anyone who knows they need to build something but isn't sure where to start.

What you'll leave with:

• A use case evaluation framework: how to score and rank your options
• A scoping brief template
• A clear picture of what production-ready looks like for an enterprise AI agent