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12.08.26
Talent Engineering
Designing the hiring function AI won't break.
The best TA teams have stopped asking which AI tools to buy. The harder question: how do you engineer a hiring system where humans and AI make each other better?
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Talent Engineering
Building the new standard for modern TA.
That’s Talent Engineering, a new operating discipline for teams who need to move faster, improve signal, cut noise and create capacity without simply adding headcount.
Because the future TA function won’t be won by the team with the most tools. It’ll be won by the team that knows where humans add judgement, where AI adds leverage, and how to orchestrate both across the end-to-end process.
We started from a blank page. What should humans do? What should technology do? What shouldn’t exist at all?
Senior leaders dreamed big across three lenses, the business, the candidate and the TA team – then defined what’s now non-negotiable.
Inside the report:
- Bold ideas – real-time workforce planning, radical candidate transparency, zero admin and full trust in the shortlist
- 10 Talent Engineering Standards – the new baseline the room agreed on, from AI fluency to contextual interviews and useful feedback for every candidate
- What needs to be true – the people, process, tech and culture conditions required to actually deliver it
- Resident spotlights – building an AI-native talent function, and turning a two-day planning cycle into twenty minutes