AI Workshop — Ideation & Planning for AI Implementation is a practical, hands-on session designed to help cross-functional teams identify where AI can create real value in their work, prioritise the best opportunities, and leave with a concrete implementation plan.
The workshop runs for 3 hours and 30 minutes and is structured around 6 sequential blocks:
It opens with a short context-setting moment (10 min) to align the group on goals and rules of collaboration. From there, the team dives into a current state diagnosis (35 min), mapping key processes, surfacing pain points, and identifying what data and capabilities already exist.
The heart of the session is the AI brainstorming block (45 min), where each pain point becomes a "How Might We…?" prompt. Ideas are captured with a simple canvas — problem, user, value, data needed, risk — and classified by type: assistance, automation, prediction, or generation.
With a backlog of ideas in hand, the group moves into prioritisation (40 min), placing ideas on an impact × effort matrix and running a quick feasibility check on data availability, privacy, cost, and dependencies. Three ideas are selected: a quick win, a mid-term initiative, and a strategic bet.
The roadmap planning block (40 min) turns the quick win into a concrete MVP — with scope, metrics and guardrails — and sketches out phases for the mid-term initiative. Resources, experimentation approach and go/no-go criteria are also defined here.
The session closes with a next steps block (10 min) to assign owners, set deadlines and schedule governance checkpoints.
The dot voting activity sits between the brainstorming and prioritisation blocks — each of the 10 participants gets 3 coloured dots to place on the ideas they find most promising, giving the group a fast, visual read on collective priorities before the matrix work begins.
