Enriching an internal methodology with AI
A proprietary methodology that had gone static, turned into an adaptive delivery system.
Result reported by the client on this engagement.
Context
An organisation had developed an internal transformation methodology that had become too static and underused. The challenge was to modernise and augment it with generative AI capabilities, so it would become a living asset again rather than a binder.
Approach
- 01Identification of 25 AI enrichment areas: automation, guidance, dynamic recommendations.
- 02Pilot modules to test impact and adoption.
- 03Integration of assistants and continuous feedback loops.
Outcomes
- A methodology turned into an intelligent, adaptive delivery system.
- Real-time guidance and automation of repetitive tasks for the teams.
- Markedly stronger adoption and perceived value.
Methods used on this engagement
Your internal methods already exist. The question is whether anyone still applies them.
Three other cases
The executive committee's vision and each site's reality, reconciled into a single plan.
From first contact to client onboarding, a sales process rebuilt and automated.
Customer feedback spread across sales, after-sales service and surveys, brought together into a single segment-level view.
