AI investment is accelerating, but for many organisations the gap between AI adoption and measurable business value is becoming harder to ignore. Usage is growing, new tools are being deployed and experimentation is expanding, yet metrics such as tokens consumed, prompts generated and users activated say little about whether AI is actually improving productivity, quality, speed, cost or revenue.

The challenge for technology and engineering leaders is moving from "Token Maxxing" to "Outcome Maxxing". Big programmes can take quarters to prove their worth and by then, the business case has often changed. As AI spend increases, leaders need a clearer way to understand where AI is creating genuine value, how improvements in engineering performance translate into business outcomes and when promising productivity gains justify further investment.

This webinar will explore the ROI argument for Flash Delivery: small, AI-accelerated projects that ship in weeks and prove value continuously, rather than once at the end. The panel will examine the real cost of programme-scale delay, how to measure ROI at the project level and how focused delivery cycles of around two months can turn "ship fast" into a measurable business payoff rather than simply a speed claim. The discussion will also explore the project criteria, governance and measurement needed to turn successful experiments into repeatable outcomes that can scale across the enterprise.