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

Hosted By

Prescient Labs
Jonathan Brown

Thursday 10 & 24 September

12:00 – 12:50 EEST

Virtual

Welcome!

To join the event, please register below.

Your registration is subject to host approval.

About the Event

​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 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.