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a $7 billion enterprise rebuilds talent decisions on skill intelligence

augmented intelligence and analytics applied to talent transformation: $5 million equivalent in additional resource availability through better internal fulfilment, and a step change in how development plans get executed.

a $7 billion enterprise has moved its talent decisions onto entomo, replacing a process in which internal candidates were found by memory and referral with one in which capability is matched against the real requirements of a role.

the organisation was carrying the cost of that gap twice. roles took too long to fill, and they were often filled externally while a capable internal candidate sat one adjacency away, invisible to the people doing the hiring. development plans were written and then quietly abandoned, because nothing connected them to a role a person could actually reach.

entomo applied augmented intelligence and analytics across the talent lifecycle, structuring roles so that internal supply could be matched against them with precision, and tying development plans to specific, reachable destinations.

the deployment produced roughly $5 million equivalent in additional resource availability through improved internal fulfilment. time to find the right fit for a role fell by 40 to 60%. conversion during the selection process rose 60%. and execution against development and career plans increased by more than 200%, which is the number that compounds: plans that get finished change what the organisation can staff next year.