AI Ideation Workshop
Discover where AI can create measurable value across your organization. In one facilitated, in-company session, your people turn everyday bottlenecks, repetitive work and untapped data into a prioritized portfolio of AI use cases.
The Workshop
AI is no longer a distant future. It is an everyday tool. Yet many organizations struggle to put it to work, because success takes more than technology. It takes a real business problem, an internal champion, and a culture and infrastructure ready to adopt. The AI Ideation Workshop is built around exactly those conditions.
In a single facilitated session we bring your people into one room, surface the operational, commercial and knowledge-work challenges across functions, and translate them into AI use cases that are realistic and worth pursuing. You do not need a data strategy or a technical background to take part. You leave with a prioritized portfolio of opportunities and a practical next-step roadmap.
Why now
AI is an everyday tool, but many organizations still struggle to implement it. Three barriers explain most of the failures. The workshop is built to remove each one.
The Outcome
Not a deck to file away. A set of decisions your team made together and can act on the next morning.
The Method
The workshop runs in-company, on your site and just for your team. We can start at any time of day, ideally around 10:00 depending on the location. Four phases move the room from raw frustration to a prioritized action plan, and the durations below flex with the size of your group.
Opening
A short introduction, a working definition of AI, and the three challenges that block most AI initiatives: no real business problem, no internal champion, and an organization not ready to adopt.
Phase 1 · Individual
Using the User Story Canvas (role, task, blocker, cause, emotion), each participant writes at least two stories: one about their own role and one about a colleague's. Topic cards prompt ideas. Any problem is fair game, not just the obviously technical ones.
Break
Phase 2 · Groups of 3 to 5
Groups pick the stories worth solving, receive their AI Super Power cards, and brainstorm solutions as a wish list, with cost and feasibility set aside for now. A data scientist joins each group.
Included
Phase 3 · Groups
Teams pitch their use cases, then the room votes with colored sticky notes across three lenses:
Break
Phase 4 · Groups
COMPUTD scores the votes and plots each use case on an impact-feasibility matrix. The room confirms the ranking, discusses the least feasible ideas, and agrees which use cases fit the organization's priorities and culture.
The Toolkit
A shared deck of AI capabilities gives non-technical teams a concrete vocabulary. Each card maps a real problem to what AI can actually do, so use cases stay grounded.
Detect unusual patterns in transactions, equipment, customer behaviour, claims, processes or operational data before they become larger problems.
Predict demand, workload, sales, traffic, claims, staffing or resource requirements using historical patterns and external signals.
Understand what a request actually means, not just what it says, from service questions and complaints to sales and support needs.
Group customers, cases, assets, products, incidents or processes by shared traits so patterns and opportunities become visible.
Automatically categorize documents, requests, transactions, products, incidents or cases so the right process can start immediately.
Follow digital traces through a process to reveal where work slows down, where exceptions occur and where automation can help.
Rank cases, leads, incidents, maintenance tasks, customer requests or opportunities based on urgency, impact and likelihood.
Check transactions, documents and process steps against policies, regulations or internal rules and flag exceptions for review.
Turn complex operational, commercial or financial data into a clear view so teams can act faster.
Assess whether leads, applications, claims, documents, suppliers or requests meet predefined criteria and route them accordingly.
Extract, compare, summarize and validate information from contracts, invoices, reports, applications and forms.
Let employees and customers search policies, contracts, manuals, cases and organizational knowledge using natural language.
Recommend products, actions, interventions or responses based on context, history and business rules.
Coordinate information and repetitive steps across systems and teams, while keeping people in control where judgment is needed.
Delivered
Every workshop produces different opportunities because every organization has different processes, data and constraints. These delivered workshops show how the method turns business problems into concrete, prioritized AI initiatives.
Six people, from the owner to shop-floor programmers, turned tool-management, planning, and forecasting gaps into four use cases. The room ranked a tool-management system as the clear priority and left with a four-phase roadmap.
An industrial-engineering team split into two groups and turned production and quality challenges into four use cases, from automated planning to AI-driven end-of-line inspection, each scored on impact and readiness.
The Fit
The workshop is designed for organizations where valuable work happens across processes, decisions, documents, knowledge, customer interactions or physical operations. The industry changes. The method does not.
Production planning, quality inspection, maintenance, procurement, engineering knowledge, demand forecasting and operator support.
Customer onboarding, document processing, compliance checks, fraud and anomaly detection, advisor support, claims handling and knowledge retrieval.
Planning and dispatch, ETA prediction, capacity utilization, exception handling, fleet maintenance, customer communication and document flows.
Quality processes, warranty analysis, aftersales, dealer support, technical knowledge, demand forecasting and supply-chain coordination.
Proposal creation, knowledge retrieval, document review, project staffing, customer service, account intelligence and administrative automation.
Finance, HR, procurement, customer operations, IT service management, reporting and repetitive back-office processes.
Why attend
A grounded way to put AI to work in your business, not a set of slides about the technology.
Data scientists at the table, guiding every step from raw problem to scored use case.
Use cases shaped around your organization and the constraints it actually operates under.
Get started
We run the workshop in-company, on your site, for 8 to 16 people from across your business and technology teams. Lunch is included, and we can start at any time of day, ideally around 10:00 depending on the location. We come to you, facilitate the session, and leave you with a ranked shortlist and a roadmap.