Org redesign

AI Robotics: what AI changes across the organisation

Every team's plan in one place — the capacity AI frees, what people will do more of with it, and the skills to build.

← All teams

Capacity freed

~7.2

FTE · 26% of 28 FTE

Plans ready

19/28

people, in 5 teams

Skills to build

26

from everyone's plans

AI tools in use

15/28

10 more could use one

Capacity freed counts only automatable work. AI-augmented work gets faster too, but isn't counted — a cautious estimate.

How AI changes each team

How each team's work splits once AI is in the picture.

Automatable AI-augmented Human-core

People

7 people · 7/7 plans

18% automatable · 42% augmented · 40% human-core

~1.2 FTE

freed · 14 skills to build

Engineering

8 people · 8/8 plans

25% automatable · 49% augmented · 26% human-core

~2.0 FTE

freed · 7 skills to build

Customer Support

6 people · 0/6 plans

37% automatable · 38% augmented · 25% human-core

~2.2 FTE

freed · 0 skills to build

Marketing

3 people · 0/3 plans

20% automatable · 50% augmented · 30% human-core

~0.2 FTE

freed · 0 skills to build

Finance

4 people · 4/4 plans

41% automatable · 39% augmented · 20% human-core

~1.7 FTE

freed · 8 skills to build

What the freed time goes to

What people will do more of, team by team — capacity is reinvested, not cut.

People

~1.2 FTE
  • Manager coaching and employee relations work that needs judgement
  • Passive sourcing, employer branding, and senior stakeholder relationships
  • Candidate experience and onboarding support
  • Casework depth and onboarding quality

+3 more

Engineering

~2.0 FTE
  • System design, mentoring, and cross-team technical decisions
  • Feature complexity, code review depth, and technical debt work
  • Design system quality and complex interaction work
  • Pairing, onboarding support, and edge-case handling

+4 more

Customer Support

~2.2 FTE
  • Coaching the team and fixing the root causes of repeat issues
  • Coaching specialists on complex cases
  • Proactive outreach to at-risk customers
  • Writing and improving help-centre content

+2 more

Marketing

~0.2 FTE
  • Campaign strategy and brand voice

Finance

~1.7 FTE
  • External market analysis
  • Supplier relationships and spend analysis
  • Advising employees on pay and benefits questions
  • Scenario planning with business leaders

What people need to learn

The skills most needed across the organisation, from each person's plan — the starting point for company-wide reskilling.

Reviewing AI-generated code

4 people · Engineering

Data storytelling

3 people · People, Engineering, Finance

Prompt design

3 people · People, Engineering

System design

3 people · Engineering

Exploratory testing

2 people · Engineering

Product discovery

2 people · Engineering

Test strategy

2 people · Engineering

AI adoption leadership

1 person · People

AI governance

1 person · People

Benefits advisory

1 person · Finance

Showing the top 10 of 26.

AI tools in use today

What's already adopted — set against the adoption gap above, this is where support should focus.

ChatGPT

6 people · People, Engineering, Customer Support, Marketing

Claude

3 people · People, Engineering

GitHub Copilot

3 people · Engineering

Gemini

2 people · People

Microsoft Copilot

2 people · People, Finance

Canva AI

1 person · Marketing

Zendesk AI

1 person · Customer Support