People, risk and sustainability. Chief Human Resources Officer
AI for the HR Office
You’re asked to lead the AI change. Your team’s day goes on answering the same questions.
Your team answers leave and pay questions all day. Hiring takes weeks, nobody has a live view of skills and you hear about regretted leavers at the exit interview. Now the board wants the whole workforce ready for AI. We map the HR Office the way your team actually works, then put agents where they give your people their time back.
The short answer
It takes the routine work out of HR. Agents answer employee questions and resolve routine requests, screen and schedule candidates with a person making every decision, build a live skills map, flag attrition risk early and help every role learn to work with AI.
Your team keeps the judgement, the conversations and every decision about people. The agents do the reading, the scheduling and the answering, so HR has time to lead the change instead of just processing it.
The mandate
Attract, develop and keep the people the strategy needs. And lead the workforce through AI adoption.
What the board measures you on
Time to hire
By role and location
Quality of hire
Performance and retention of new joiners
Regretted attrition
By team and level
Engagement
Survey results and trends
Skills coverage
Critical skills against need
AI adoption
Active use across roles
The canvas of the HR Office
Most HR software records what happened. The real work sits in the questions, the handoffs and the decisions around it, and that’s where your team’s week goes.
Canvas 1
What you run
The people engine.
Talent acquisition
Sourcing, screening, interviews and offers.
Learning and skills
Skills mapping, training and certification.
Performance and reward
Goals, reviews, pay and incentives.
HR operations
Employee records, payroll inputs and HR service.
Employee experience
Onboarding, engagement and internal moves.
Canvas 2
What you answer for
The things the board, employees and regulators hold you to.
AI in people decisions
Hiring and people AI is high risk under the EU AI Act.
Labour law and consultation
Works councils, unions and local labour rules.
Workforce planning
How roles change as agents take on work.
Fair pay and privacy
Pay transparency and employee data protection.
Where value leaks
Most of them are small and daily. Added up, they take the time HR needs to lead the workforce through the change AI is bringing.
01
HR service tickets
The same leave, pay and policy questions asked every day.
Employee service agents. Answer from approved policies in the employee’s language and resolve routine requests in your HR systems.
Tickets resolved by agents
Time to answer
02
Slow hiring
Screening and scheduling take weeks and good candidates walk.
Screening and scheduling agents. Check applications against your criteria, book interviews and keep candidates informed. A person makes every decision.
Time to hire
Candidate drop off
03
Skills gaps unknown
No live view of skills against what the strategy needs.
Skills agents. Build a skills map from real work data and show the gaps by team and role.
Skills coverage
Internal moves
04
Attrition spotted late
Regretted leavers seen only at the exit interview.
Early warning agents. Flag risk signals to managers with suggested actions, while there’s still time to act.
Regretted attrition
Cost of replacement
05
AI adoption stalls
Tools rolled out to everyone and then ignored.
Adoption design. AI literacy by role, use cases tied to real tasks and usage tracked team by team.
Active AI users
Hours saved
06
Onboarding drags
New joiners wait days for access, equipment and answers.
Onboarding agents. Coordinate IT, facilities and the manager, and answer the new joiner’s questions from day one.
Days to productive
Early leavers
Process lifecycles
We start from the tools you already run. The orange steps are where an agent takes on the work. Every decision about a person stays with a person.
Hire to onboard
Every open role
Plan
Source
Talent pools searched
Agent
Screen
Against your criteria
Agent
Schedule
Interviews booked
Agent
Decide
Onboard
Access and kit arranged
Agent
Typical systems. Workday, SAP SuccessFactors, Greenhouse, LinkedIn Recruiter
Employee service
Every day
Question
Answered from policy
Agent
Request
Resolved in the system
Agent
Case
Resolve
Learn
Gaps in policy flagged
Agent
Typical systems. ServiceNow HRSD, Microsoft Teams, intranet
Learning and skills
Continuous
Assess
Skills from work data
Agent
Assign
Learning by role
Agent
Learn
Certify
Track
Coverage against need
Agent
Typical systems. Cornerstone, Degreed, Workday Learning
Performance and reward
Yearly, checked quarterly
Goals
Prepare
Evidence gathered
Agent
Review
Calibrate
Pay gaps flagged
Agent
Reward
Typical systems. Workday, SAP SuccessFactors, compensation tools
Agent intervention point
The HR control tower
Not a quarterly headcount pack. A live view of who you’re hiring, who you might lose, which skills you’re missing and how fast your people get answers.
Illustrative
HR control tower
Sample data to show the view. Not client results.
Time to hire
31 days
▼ from 52
Attrition
6.2%
▼ 1.1 pts
Tickets by agents
64%
Resolved
Skills coverage
71%
Critical roles
Active AI users
58%
▲ from 22%
At risk
14
Key people flagged
This week’s HR brief
Risk
Three senior engineers in one team show leaving signals
Manager briefed with suggested actions
Hiring
Data roles take twice as long to fill as plan
Sourcing widened to two new markets
Service
Remote work questions up 3x since the policy update
Policy owner asked to clarify two points
Adoption
Finance teams now the most active AI users
Their use cases shared with operations
Critical skills coverage
Data and AI
48%
Cyber
62%
Planning
79%
Finance
88%
Data and AI is the widest gap. It’s also the skill every other office now asks for.
Illustrative example. Figures are invented to show how the view works. In discovery we build it on your own data and KPIs.
Your industry changes the agenda
The canvas stays the same. Who you hire, where they work and what keeps them does not. Here’s the question we hear most from HR leaders in each industry, and where agents help first.
CPG
How do we build data and digital skills in a brand led company?
Skills map and AI literacy by role
FMCG
How do we staff plants and field sales across many markets?
High volume screening and scheduling
Retail
How do we hire and keep store staff through every peak?
Seasonal hiring and employee service
D2C
How do we scale the team without scaling HR?
Employee service and onboarding agents
Automotive
How do we reskill engineers for software and electric vehicles?
Skills gaps and learning paths
Healthcare
How do we keep clinical staff and fill shifts faster?
Attrition early warning and scheduling
Energy
How do we replace retiring experts before their knowledge leaves?
Skills map and knowledge capture
Manufacturing
How do we hire and certify plant workers faster?
Screening, onboarding and certification tracking
Logistics
How do we hire drivers and warehouse staff at speed?
High volume hiring in local languages
BFSI
How do we prove people AI meets the rules?
Logged decisions and human oversight
B2B technology
How do we keep our best engineers?
Attrition early warning and internal moves
How the HR Office connects
Every new rule and every new tool lands on people. Legal and compliance write the rules, the AI office builds the agents and transformation drives the change. The agents that serve the HR Office share the same platform and data as those offices, so policy, training and practice stay in step.
The obligation relay
People, risk and sustainability
See where obligations slip between your offices.
AI literacy
Chief AI Office
Where the agents and the AI rules are owned.
Change
Transformation Office
Where new ways of working are planned and tracked.
Workforce cost
CFO Office
Where headcount plans meet the budget.
How we’d start
Pilot 1
Employee service in one country
↳
An agent on your top 50 policy questions, in the local language
↳
Routine requests resolved in your HR systems, sensitive cases sent to a person
↳
Tickets resolved, answer quality and employee satisfaction measured
Your decision
Whether to roll it out to every country.
Pilot 2
Faster hiring for one high volume role
↳
Screening and scheduling agents on one role you hire for often
↳
A person makes every decision, and every step is logged
↳
Time to hire, candidate drop off and quality of hire compared
Your decision
Whether to extend it to more roles.
Both run under our Validation First Framework. They’re tested on your own data before you commit a larger budget, and if the numbers don’t hold, we tell you.
Your intervention map
Bring your most common HR tickets, your hardest roles to fill and the skills you’re short of. We bring the HR Office canvas. In one session we map it to your systems and people, and mark where agents would pay back first.
01
Your HR Office canvas
What you run and answer for, checked against how your HR team and managers really work.
02
Your value chain
The canvas placed on your industry and company, showing which roles and skills matter most.
03
Your intervention points
Each leak with an agent design, its controls and the KPI it moves. Delivered as a mind map, an architecture view or an interactive dashboard.
AI for the HR Office, answered
What can AI do for the HR Office?
Agentic AI takes the routine work out of HR. Agents answer employee questions and resolve routine requests, screen candidates and schedule interviews with a person making every decision, build a live skills map from real work data, flag attrition risk early and help every role learn to use AI. Your HR team spends its time on people, not tickets.
Is AI in hiring high risk under the EU AI Act?
Yes. AI used for recruitment, promotion, task allocation or performance decisions falls under the high risk category in Annex III. Under the Digital Omnibus, those obligations apply from 2 December 2027. We design every people agent with human oversight, documentation and logging from day one, so you don’t have to rebuild later.
Does AI make hiring decisions?
No. Agents read applications, check them against the criteria you set, schedule interviews and keep candidates informed. A person reviews and makes every decision. Each step is logged, so you can show how a decision was made and check for bias.
How can AI reduce HR service tickets?
Most HR tickets are the same questions about leave, pay, policy and benefits. Employee service agents answer them from your approved policies in the employee’s language, and resolve routine requests in your HR systems. Complex or sensitive cases go to a person with the context already attached.
Do we need to involve the works council?
In many European countries, yes. AI that affects how people are hired, managed or measured usually needs works council consultation. We bring the works council in early, show exactly what each agent does and what data it uses, and build their questions into the design.
Where should a CHRO start with agentic AI?
With employee service. Take the top 50 policy questions in one country, put an agent on them and measure tickets resolved, answer quality and employee satisfaction. Hiring for one high volume role is a strong second pilot.
