Why Your AI Strategy Will
Fail Without a Clean
Data Foundation
And what SAP leaders should do first — before the next tool, vendor, or AI rollout is approved.
What We'll Cover
Three things you'll walk away with.
01
Where AI breaks in Enterpise — and why it's invisible until it's too late
The failure pattern across manufacturing, energy, and logistics is consistent. You'll know exactly where to look.
02
The three data conditions that separate pilots from production
Unified data, governed access, auditability and lineage — what each one means, and what each unresolved gap costs.
03
What to activate first — before you commit to a platform
The governance and unification layer that makes AI production-ready, and the sequencing that protects everything built on top of it.
Session Agenda
Walk away knowing exactly what to fix first.
01
15 mins
Why AI initiatives lose ground in SAP environments
Across manufacturing, energy, and logistics, the failure pattern is the same — capable tools land on fragmented data and stall. We look at where and why it happens, and why most organisations only recognise it once the pilot is already off track.
02
20 mins
The three data conditions that determine whether AI reaches production
Unified data, governed access, auditability and lineage — the conditions that separate pilots from production. We examine what each one means in a real SAP environment and what it costs when any one of them is missing.
03
15 mins
The architectural gap most AI initiatives carry
Platform decisions made too early, migrations that skipped governance, analytics built without lineage — these gaps compound quietly. By the time AI arrives, the foundation can't hold it. We look at how this happens and what reversing it actually requires.
04
10 mins
What SAP leaders should activate first
Before a platform is selected, the governance, lineage, and unification layer needs to be in place. We walk through what that sequencing looks like and what the first activation steps are in practice.
Miraavi · By the Numbers
The SAP Bench You Can't Build Overnight.
30+
Years of SAP
engineering depth
engineering depth
250+
Practitioners across
enterprise deployments
enterprise deployments
3
Data conditions between
you and AI that works
you and AI that works
Meet Our Experts
Our lineup of industry experts will guide you through this transformative webinar, sharing their expertise and real-world experiences:
Shyamkrishnan B
Director, Technology & Consulting
Adithya Sanker R
Sr. Software Engineer
Gopu M G
Associate Growth Director, SAP
Don't build on a foundation
you haven't assessed.
60 minutes to know exactly where your SAP data stands — before the next AI initiative is approved.
Register Now