Identify, Prioritise and Justify AI Transformation: Moving from Opinion-Based Workshops to Evidence-Based AI Investment Decisions

​Most AI transformation programmes still begin with workshops, interviews and internal opinions. That creates a familiar problem: everyone agrees AI could help, but it is much harder to prove where to start, what to prioritise, and which initiatives deserve investment.

​Join Inspired AI and Prescient Labs for a practical webinar on how mid-market organisations can move from broad AI ambition to evidence-based transformation decisions.

We will show how process diagnostics can turn existing operational data from systems such as ERP, CRM, finance, service and workflow tools into a clearer view of: where work is actually slowing down where manual effort, rework and delays are concentrated which workflows are strongest candidates for AI or automation how to build a more credible business case before committing to implementation This session is designed for business, operations, finance, technology and transformation leaders who are being asked to deliver AI value, but need a more evidence-led way to choose the right opportunities.

Agenda
Welcome & framing

Why AI transformation often stalls between ambition and investment approval. From workshops to workflow evidence

How process diagnostics create a factual baseline for AI decision-making. Identifying and prioritising AI opportunities

How to rank workflows by effort, friction, value potential and implementation readiness. Building the business case

How to turn diagnostic outputs into a board-ready AI investment case.

Q&A with Inspired AI and Prescient Labs
Practical discussion on where mid-market organisations should start. Let's this entirely - move it to how can you make more money - incentive focused and short please.