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48 HR Agents assessed and prioritised

Assessment, Prioritization, and Sequencing for Enterprise HR

Every HR leader faces the same question in 2026: Which AI agents can I build, and in what order? This catalog provides the answer - 48 agents assessed across 6 dimensions, prioritized in 3 quadrants.

Airbus Volkswagen Shell Renault Evonik Vattenfall Philips KPMG
EU AI Act ready
Works council ready
EU-first
48
HR Agents
11
Domains
6
Dimensions
4
Quadrants

Why Process Lists Are Not Enough

Major consultancies deliver process taxonomies: What can be automated? But three critical dimensions are systematically missing.

Governance Complexity: Which process requires employee-representation approval? (UK: Under the Information and Consultation of Employees Regulations 2004, employers must consult on decisions affecting the workforce.) Which falls under EU AI Act high-risk? Without this information, organizations start with the most attractive agents - and fail at governance.

Implementation Sequence: Not every agent is suitable as a starting point. The sequence determines whether the infrastructure built is reusable or needs to be rebuilt for each domain.

Infrastructure Dependencies: Agent A builds governance infrastructure that Agent B requires. Building B before A means building twice.

Decision Record: Every AI Decision Reviewable and Challengeable

When an AI agent makes decisions affecting people, every individual decision must be documented in a complete decision record. The affected person must be able to understand the decision and challenge it. This is not a feature - it is the legal and ethical foundation for deploying AI agents in HR.

Complete documentation of every individual decision
Traceability: Which rule, which data, which outcome
Transparency: Human, rules engine, or AI - who decided and why
Right to challenge: Formal objection by affected employees
How the Decision Layer enforces this architecturally →

The "Start Boring" Principle

The counterintuitive core thesis: The best starting points for HR agent deployment are the least spectacular. Payroll, Time & Attendance, Expense Processing.

No CHRO gets excited about these at a conference. But these processes offer the combination of high rule density, high volume, and low governance complexity that makes them ideal proving grounds for agent infrastructure.

Practical experience shows: A 30-40% reduction in correction bookings is more convincing to the CFO than a recruiting chatbot prototype.

Q1 Builds What Q3 Needs

There is a second, less obvious reason to start with Q1: The governance infrastructure built for Payroll and Time & Attendance is the same infrastructure needed for Recruiting and Performance Management.

Ruleset Versioning - which version of which rule was applied to this decision? Must be built once, works across domains.

Decision Logging - complete audit trail of every agent decision. Regulatory requirement under the EU AI Act for high-risk systems.

Exception Routing - what happens when the agent cannot process a case? Defines the handover between automated and human processing.

Framework Governance Agreement - collective agreements or company policies can be negotiated comprehensively instead of domain by domain. One framework agreement is faster and more robust than five separate ones.

Which agent should you build first?

Where is your greatest need for action?

Compare agents

Select 2-3 agents for a direct comparison.

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6 Assessment Dimensions

Each of the 48 agents is assessed on 5 quantitative dimensions (0-100) and one categorical dimension.

Agent Readiness

How automatable is the process? Share of rule-based and AI-capable decision points.

Governance Complexity

How regulatory-intensive? Works agreement, GDPR, EU AI Act risk level.

Economic Impact

What is the savings potential? FTE binding, volume, standardization, error costs.

Lighthouse Effect

How visible is the success? Relevance for board, employees, and HR strategy.

Implementation Complexity

How technically demanding? Interfaces, policies, data intensity, dependencies.

Transaction Volume

How often does the process run? Daily to episodic - determines the ROI time horizon.

Where to Start? Impact vs. Effort

Impact vs. Implementation Effort

Implementation Effort →← Impact00252550507575100100Start NowPlan StrategicallyQuick WinsDefer
HR Operations / Core HRPayroll & CompensationCompensation & BenefitsOnboardingRecruiting / Talent AcquisitionTalent Strategy & PlanningLearning & DevelopmentIntegrated Talent ManagementPolicy, Compliance & Employee RelationsWorkforce TransitionsAdjacent Domains (Finance, Legal)

What Pays Off? Economic vs. Lighthouse Effect

Economic Impact vs. Lighthouse Effect

← Economic Impact← Lighthouse Effect00252550507575100100Double WinnersLighthouse ProjectsEfficiency EngineLow Priority
HR Operations / Core HRPayroll & CompensationCompensation & BenefitsOnboardingRecruiting / Talent AcquisitionTalent Strategy & PlanningLearning & DevelopmentIntegrated Talent ManagementPolicy, Compliance & Employee RelationsWorkforce TransitionsAdjacent Domains (Finance, Legal)

How Ready? Readiness vs. Governance

Readiness vs. Governance Complexity

Governance Complexity →← Agent Readiness00252550507575100100Foundation: Start NowWorks Agreement FirstStrategic + Change MgmtLong-term / Transformation
HR Operations / Core HRPayroll & CompensationCompensation & BenefitsOnboardingRecruiting / Talent AcquisitionTalent Strategy & PlanningLearning & DevelopmentIntegrated Talent ManagementPolicy, Compliance & Employee RelationsWorkforce TransitionsAdjacent Domains (Finance, Legal)

Q1-Q4 Sequencing Matrix

Q1: NOW
Foundation + Infrastructure
Payroll, Expense, T&A
Q2: PILOT
Leverage existing governance
Onboarding, Benefits
Q3: LATER
Build governance first
Recruiting, L&D Admin
Q4: HUMAN-FIRST
Full governance required
Performance, ER, WFP

Governance complexity increases from Q1 to Q4. That is why the sequence is Q1 - Q2 - Q3 - Q4, not by attractiveness.

Agent Types: D Document Agent - processes documents W Workflow Agent - orchestrates processes K Knowledge Agent - answers questions

11 Domains, 48 Agents

Recruiting / Talent Acquisition

Q3
Agents: 6
Avg. Readiness: 70%
Avg. Economic: 63%
Avg. Governance: 60%
EU AI Act Hochrisiko: 4

Candidate Screening Agent

Structure the screening process - with full EU AI Act compliance built in.

Q3
W K
EU AI Act III(4)(a): High Risk
Readiness: 64-71%
Economic: 78-85%
Governance: 74-81%
Micro-Decisions: 11
Daily

Job Posting Agent

Publish compliant, consistent job postings - across every channel, every language.

Q3
D K
EU AI Act III(4)(a): High Risk
Readiness: 71-78%
Economic: 56-63%
Governance: 58-65%
Micro-Decisions: 8
Weekly

Interview Scheduling Agent

Find the slot, book the room, send the invite - without the email ping-pong.

Q2
W
Readiness: 84-91%
Economic: 51-58%
Governance: 6-13%
Micro-Decisions: 6
Daily

Pre-Hire Due Diligence Agent

Structured background verification - legally compliant, consistently documented.

Q3
D W
EU AI Act III(4)(a): High Risk
Readiness: 58-65%
Economic: 51-58%
Governance: 78-85%
Micro-Decisions: 9
Weekly

Talent Pool Management Agent

Keep your talent pipeline warm - without manual CRM effort.

Q3
K W
Readiness: 66-73%
Economic: 54-61%
Governance: 51-58%
Micro-Decisions: 7
Weekly

Executive Recruiting Agent

Board-level searches with full confidentiality and governance tracking.

Q3
W K
EU AI Act III(4)(a): High Risk
Readiness: 51-58%
Economic: 66-73%
Governance: 68-75%
Micro-Decisions: 10
Monthly

Three-Phase Roadmap

Phase 1

Prove

Build foundation and governance infrastructure. High rule density, low risk.

Payroll, T&A, Expense, Sick Leave

Phase 2

Expand

Leverage existing governance. Medium complexity, high visibility.

Onboarding, Benefits, Offboarding

Phase 3

Complexity

Full governance required. High-risk agents with EU AI Act compliance.

Recruiting, Performance, L&D, WFP

Payroll processing savings potential

3.000
20050.000
2
14

Estimated savings potential

422.400 € - 907.200 €

p.a.

Hours saved: 7.680 - 12.960 hours p.a.

Additionally: estimated 30-40% reduction in correction postings

Frequently Asked Questions

Do I need to build all 48 agents?

No. The catalog is an assessment tool. Start with 3-5 Q1 agents and expand based on experience and governance maturity.

Why not start with recruiting?

Recruiting falls under EU AI Act high-risk (Annex III(4)(a)) and requires extensive governance. (US: No federal equivalent; EEOC guidance on AI in hiring applies.) Q1 agents like Payroll build the governance infrastructure that Recruiting later needs.

How accurate are the Readiness scores?

The scores are based on an enterprise analysis of 78 HR processes. They are reference values - exact numbers depend on your system landscape and process maturity.

What does high risk under the EU AI Act mean?

Systems in Annex III(4) - recruitment, performance evaluation, promotion - face stricter requirements: risk management system, data documentation, human oversight, transparency obligations. (UK: The EU AI Act does not apply in the UK; the Equality Act 2010 and ICO guidance govern AI in employment decisions.)

What Happens Next?

1

30 minutes

Initial call

We analyse your process and identify the optimal starting point.

2

1 week

Discover

Mapping your decision logic. Rule sets documented, Decision Layer designed.

3

3-4 weeks

Build

Production agent in your infrastructure. Governance, audit trail, cert-ready from day 1.

4

12-18 months

Self-sufficient

Full access to source code, prompts and rule versions. No vendor lock-in.

Which Agent Will You Build First?

We analyze your HR process landscape and identify the optimal sequencing.