Most organizations don’t fail at “building AI”—they fail at turning change into everyday results. Real value only shows up when people can use new capabilities in daily operations, yet many AI and transformation initiatives still get stuck in slow planning cycles, fragmented delivery, and weak adoption.

In this session, we’ll unpack a practical blueprint to shorten time-to-value by treating Plan → Build → Run as one continuous engine. You’ll learn why planning is often the true bottleneck, how to stop optimizing for output instead of outcomes, and how AI can actually accelerate each phase—without turning the initiative into an endless pilot or a tool showcase.

We’ll focus on three levers that consistently speed up value realization:
- Hands-on business ownership (not delegation),
- Platform-first delivery (maximize low/no-code before custom build),
- One shared operating model that business, IT, and partners can execute together—especially critical as AI agents scale.

Attendees will leave with a clear way to diagnose where time-to-value is being lost, a set of concrete practices to fix it, and a “first 6 weeks” approach to move from ideas to operational impact.

Key takeaways
- A simple diagnostic for time-to-value delays across planning, delivery, and operations
- The three most effective levers to speed up outcomes (and why they work)
- Practical ways to embed AI into planning, platform delivery, and run/governance
- What changes when AI agents scale—and how to keep ownership, quality, and security under control

CIOs/CTOs, digital & transformation leaders, product/platform owners, enterprise architects, delivery/service leaders.

Format
35–40 min talk + Q&A