Generative AI Use-Case Discovery

We facilitate hands-on workshops with your operational teams to surface realistic generative-AI opportunities across departments. Each idea is scored on value, complexity, and risk, and we build rapid proofs of concept to validate the strongest ones. You leave with a shortlisted, build-ready backlog of opportunities.

What's included

Interactive workshops with operational teams across departments to surface realistic opportunities.
Identifying generative-AI use cases: summarisation, generation, extraction, and knowledge assistance.
Scoring each idea against value, complexity, and risk.
Building rapid proofs of concept for the highest-priority ideas.
Shortlisting and preparing a handover pack for full development.

Methodology & standards

Preparation: understanding the business context and selecting departments and workshop participants.

Facilitated discovery workshops that produce a long list of candidate opportunities.

Structured scoring of each opportunity on value, complexity, and risk to select the strongest.

Rapid proof-of-concept builds and handover of a build-ready shortlist.

Deliverables

An expanded opportunity register documenting each candidate use case and its context.
A scorecard per opportunity across the value, complexity, and risk axes.
Working proofs of concept for the selected ideas.
A final, ranked shortlist ready to move into development.
An initial effort and technical-requirements estimate for each selected case.

Regulatory controls it satisfies

SDAIA Generative AI Guidelines

Each candidate use case is screened against the acceptable-use guidance and risk categories.

NIST AI RMF Generative AI Profile (NIST-AI-600-1)

We use its risk taxonomy to score the risk dimension of every idea.

PDPL (Personal Data Protection Law)

Use cases touching personal data are flagged to verify the lawful basis before a proof of concept is built.

OWASP Top 10 for LLM Applications

Prompt-injection and data-leakage risks factor into the complexity and risk scoring.

Typical timeline

Typically delivered in two to four weeks, covering the workshops and the proof-of-concept builds for the selected ideas.

Common questions

Do we need to prepare use cases before the workshops?

No. Surfacing opportunities from your operational teams is exactly the workshops' job; it is enough to bring people who know the day-to-day detail.

What do we get at the end of the phase?

A scored, ranked shortlist accompanied by working proofs of concept that prove feasibility before you commit to full development.

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