MAM303AdvancedBreakout sessionMigration & Modernization Playbook 5 live updates

Digital transformation excellence using agentic AI

What this session is about

Discover how customers are leveraging AWS AI-driven solutions to accelerate their cloud transformation journey, moving beyond traditional migration and modernization to achieve digital transformation excellence. This session showcases real-world experiences where organizations have integrated AI-powered accelerators with AWS cloud services to achieve 3x faster migration timelines and drive unprecedented business value. Learn actionable strategies and see demonstrations of how a large transformation project can become a digital enterprise enabler for your organization,

Playbook

Editorial commentary · what to actually do about this on Monday

The concept
AI accelerators applied to migration produce 3× faster timelines via automated discovery, dependency mapping, test generation, and cutover dry-runs.
Why it matters
Migration projects historically run long because of human-bottlenecked discovery and cutover planning. Agents compress those phases dramatically.
The hard parts
3× is achievable on greenfield-ish migrations; brownfield with regulatory baggage gets less. The 3× is real but conditional.
Playbook moves
(1) Apply agents to discovery first, then test generation, then cutover dry-runs. (2) Don't try to AI-ify the political and stakeholder negotiations — that's still human work. (3) Pre-approve migration patterns at the architecture review board so individual migrations don't restart approval cycles.
The surprise
The biggest barrier to fast migration isn't tech — it's stakeholder approval cycles. AI doesn't help there directly. The transformation programs that move fastest *pre-approve* common patterns in advance, so individual migrations bypass the slow path. That's an org-design move, not a tech move. ---

Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.

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