Planning the 2027 workforce

Every planning cycle before this one asked how many people, and at what cost. 2027 asks something harder. This is the guide to read first, for Finance, Talent, and HR.

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Planning the 2027 workforce

Every planning cycle before this one asked the same question: how many people, and at what cost. 2027 asks something no prior cycle has had to answer. Which work still needs a person, which work needs a person with better tools, and which work needs neither. Walk into this planning season with last year's playbook and you will misprice your largest expense line, and you won't find out until it's too late to fix.

Most Finance, Talent, and HR teams are being asked to plan a mixed human and AI workforce with no precedent, no shared framework, and no common vocabulary across their own three teams. This guide is the fix: a shared playbook built for exactly this moment, not another general AI trend piece.

Inside, you'll find:

  • Why 2027 is structurally different from every planning cycle before it, and what happens if you plan it like last year instead.
  • Five ways a 2027 plan breaks, including the token blind spot most companies don't even know they have yet.
  • A real comparison: generic AI agent plus MCP versus an AI coworker that already knows your org chart, your approval chain, and who's allowed to see what.
  • The actual prompts Finance, Talent, HR, and executives are already running through TeamOhana Computer, pulled from real usage, not hypotheticals.
  • A 12 week planning sequence with an AI checkpoint built into every phase, plus the three rules that make it actually hold once the plan is approved.
  • A 14 question readiness score, scored separately for headcount and AI, built to run out loud with all three teams in the same room.
  • Real numbers from companies already doing this: Docker stopped six figures of unapproved spend a month, IonQ found $594,000 in savings from timing alone, and SeatGeek ended operational chaos completely.
  • Outside research, not just TeamOhana's take: Atlassian, KPMG, Deloitte, and McKinsey are all cited throughout.

If you are responsible for planning headcount, AI spend, or both in 2027, this is the one document to read first. Get the guide before you build a single line of the plan.

Additional resources

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