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

Related

Practice

The guided method — assistants & use cases per department

Services

Why a structured rollout — the overview

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