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You don’t automate a job, you automate the tasks inside it
When the board asks what AI means for the workforce, most leaders can only answer at the level of the job title - a broad “a quarter of roles could change” that no one can plan against. But AI doesn’t arrive at the level of the job. It arrives at the task: the specific things people spend their hours on, some of which it can take on and most of which it can’t. Beamery breaks each role into those tasks, so you can see where automation actually pays back, where augmentation helps, and which people to move onto higher-value work rather than out the door.
Capabilities
Ground the plan in the work
See the work as tasks
Beamery breaks every role into the tasks it’s made of and the effort each one takes, so you start from what people actually do - not a job description or a headcount number.
Find where AI genuinely helps
See, task by task, which work AI can take on, which it can support, and which stays with people - so investment goes where the payback is real, not where the hype is loudest.
Redeploy, don’t just cut
When someone’s work changes, one shared model of skills and tasks shows where else they fit - so an automation plan becomes a redeployment plan, not a redundancy one.
A plan the board can act on
An AI plan grounded in the actual work - automated where the payback is real, and people moved to higher-value work rather than managed out.
30%
of new skills demand met by deploying people already inside the business
[Source, confirm]
