Rollout Guide
AI rollout as an end-to-end program, not just platform setup
This guide explains how we roll out AI as a true partner model: enablement, adoption, and production use-cases.
Our scope as AI partner
- enable employees (training, coaching, practical exercises)
- set up platform and governance correctly
- identify, prioritize, and implement use-cases
- connect integrations step by step (cloud and on-prem)
- measure adoption and continuously improve
Executive OnePager
Compact visual blueprint for steering, management, and rollout decisions
Partner Approach
The operating model for successful AI adoption
Selection Learnings
What really drives decisions in real buying processes
Pilot Phase
What we deliver in the first 3 months
Rollout Phases
From champions to company-wide scale
Rollout Design
Choose the right structure: site, function, or process
Operating Model
Roles, cadence, and governance for sustainable adoption
Responsibility Model
Vendor, customer, and user responsibilities in rollout
AI Enablement Agents
Meta agents for learning, feedback, and use-case discovery
Tailoring Playbook
Pragmatic paths by system landscape