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Mature, asset-intensive organisations often say they want innovation, but govern every kind of uncertainty as though it carries the same risk. That is appropriate where failure is physical, safety-critical or irreversible. It becomes limiting when applied to data, digital tools and process experiments, where small failures can create useful learning. This session explores how leaders can distinguish catastrophic failure from intelligent learning failure, avoid sunk-cost commitments, and ask better questions before scaling ideas. The remedy is not less discipline, but more proportionate risk: protecting what must not fail while creating space to learn safely.
Building Change Management Capability in Maintenance Teams
Securing Sustained Leadership Buy-in and Investment

Fleet Information Systems Manager
Greater Anglia
