01
Launch
Define targets and assign the right AI assistant. Establish roles, role models, and a roll-out plan with generic and role-based training initiatives to drive early usage.
Services · Adoption & Enablement
Successful AI adoption is a change journey. We define targets, track progress, analyse usage, and continuously improve outcomes across five critical success elements — moving from usage metrics to measurable business ROI.
Our model covers five success elements: Adoption Strategy (leadership involvement and role modelling), Target Setting, Measurement & KPIs, Steering & Governance, and Segmentation with role-based support.
We transition from activity-based tracking to business outcome metrics — so you move from "how many people use it" to "what value is it creating".
Rollout Phases
A phased approach that combines leadership involvement, clear KPIs, role-based support, and continuous improvement — built around your organisation's pace.
01
Define targets and assign the right AI assistant. Establish roles, role models, and a roll-out plan with generic and role-based training initiatives to drive early usage.
02
Actively support use per department through targeted training or 1:1 support. Drive usage numbers up and identify early champions to scale adoption.
03
Activate the champion network to share use cases and centralise value-adding tasks. Steer teams with low adoption using targeted interventions and practical use-case sharing.
04
Switch metrics from usage-based to outcome-based — so you start measuring ROI from your initiative. Embed AI into daily workflows and establish a continuous governance cadence.
We help you build an AI Adoption system that scales across teams and delivers measurable outcomes.
Start AI Adoption