Step 04 — Future Work

What changes for people?

See which work is done with AI in each value stream, then decide what people do with the time it frees — and which capabilities they will need.
3 ideas for each value stream and the 3 most essential skills — add the ones that fit with +. Only the work is sent, no names.

Work done with AI — and where the freed time goes

Recruitment

Done with AI

  • Source candidatesAI-led30 h → 12 h
  • Coordinate hiringAI-led18 h → 7.2 h
  • Screen applicationsHuman + AI24 h → 16.8 h
  • Define hiring needsHuman + AI18 h → 12.6 h
  • Assess candidatesHuman + AI18 h → 12.6 h

~47 h a week freed

New focus areas

5 of 5

What more could people do in Recruitment with ~47 h a week?

AI agent supervision
Candidate experience quality
Candidate relationship building
Talent market intelligence
Workforce planning insight

Employee Development

Done with AI

  • Answer learning questionsAI-led6 h → 2.4 h
  • Track and report progressAI-led6 h → 2.4 h
  • Design learning programmesHuman + AI10 h → 7 h
  • Identify learning needsHuman + AI8 h → 5.6 h

~13 h a week freed

New focus areas

5 of 5

What more could people do in Employee Development with ~13 h a week?

Checking AI learning advice
Coaching managers as developers of people
Hands-on training delivery
Measuring learning impact
Skills strategy with business leaders

Performance Management

Done with AI

  • Collect feedbackAI-led4 h → 1.6 h
  • Report and analyseAI-led4 h → 1.6 h
  • Set goals and plan the cycleHuman + AI3 h → 2.1 h

~6 h a week freed

New focus areas

3 of 5

What more could people do in Performance Management with ~6 h a week?

Feedback quality review
Manager coaching
Spotting performance patterns

Employee retention

Done with AI

  • Engagement survey managementHuman + AI3.6 h → 2.5 h
  • Wellbeing program managementHuman + AI3.6 h → 2.5 h
  • Career path clarity projects, support for managersHuman + AI2.4 h → 1.7 h

~3 h a week freed

New focus areas

4 of 5

What more could people do in Employee retention with ~3 h a week?

Career path design
Early attrition insight
Listening to employees
Pay fairness review

Skills to build

What people need to develop for the new focus areas and for working with AI — new skills or stronger versions of existing ones. For the team as a whole — focus on the 3–5 most essential.

9 skills — keep the 5 that matter most

Agent orchestration
AI output evaluation
Business partnering
Coaching and facilitation
Coaching and influencing
Critical judgement
Data interpretation
Talent advisory
Workforce insight analysis