Case Study · Transform · Change Management

Driving global ERP adoption through targeted change.

A multi-region ERP rollout where the technology was right and the adoption was lagging. We rebuilt the change programme around country-level data, AI-augmented training, and senior partner sponsorship.

Global
Multi-region ERP rollout
Country-level
Adoption telemetry and intervention
99%
Project velocity uplift, AI Factory
80%
Panamoure repeat revenue rate

The challenge

The client had completed a global ERP implementation but the value case was not landing. Country teams were defaulting to legacy workarounds. Headquarters had no clear view of where adoption was strongest or weakest, only that the benefits realisation curve had flattened.

  • Multi-region ERP rollout completed but adoption stalling in several geographies.
  • No country-level view of usage patterns or workaround behaviour.
  • Change programme delivered globally with limited tailoring to local working patterns.
  • Benefits Realisation case flagged amber at the board.

Our approach

We rebuilt the change operating model around country-level data. Ingestion agents pulled adoption telemetry from the ERP. Analysis agents surfaced the highest-impact workaround patterns and the teams most exposed to them. Senior consultants designed country-specific interventions; partners sponsored them with local leadership.

The work covered training, manager enablement, process redesign, and incentive alignment. AI-led training content was tuned to the actual screens and workflows local teams were using.

What we delivered

A targeted change programme that lifted adoption against deal-day commitments and re-greened the benefits case.

  • Country-level adoption telemetry running continuously on the AI Factory data platform.
  • Localised change interventions across the affected geographies.
  • Manager enablement programme aligned to country-specific working patterns.
  • Benefits realisation tracked back to original deal commitments.
Outcome

Adoption back on plan. Benefits curve re-greened.

More AI-led work in production

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