AI for HR and employee service — from case volume to workforce readiness.
Employee self-service, HR case automation, talent matching and policy delivery for CHROs and HR transformation leaders who need AI to reduce case volume, speed onboarding and keep employee data governed.
If your remit is the enterprise AI platform and IT operating model rather than HR service delivery, start with the technology hub instead. Open the CIO hub
Long-form thinking for CHROs
AI for HR — conversational AI for employee self-service at a Fortune 500
How a Fortune 500 deflected 58% of HR service-desk tickets by grounding a Teams-native assistant in sanctioned policy and wiring it to Workday and ServiceNow — the peer benchmark for CHROs deciding whether employee self-service can actually close cases.
AI for HR shared services across a 31,000-employee health system
How a large health system consolidated HR case management, policy lookup and benefits triage into one employee-facing channel — the operating model CHROs need before scaling HR self-service beyond a pilot.
Agentic AI governance: controlling systems that take actions
The control set CHROs need before an employee-facing agent touches PII, payroll or accommodation requests: scoped memory, HITL routing, audit trails and model-risk evidence that HR and legal can review.
AI and the employee contract: the workplace enterprises will run in 2027
A dated view of how AI changes the employer-employee contract — from policy delivery to frontline scheduling — so CHROs can decide which workforce commitments to make now and which to hold back.
What we've shipped for peers
AI for HR shared services across a 31,000-employee health system
HR shared services for 31,000 employees — case deflection and cycle time with policy answers grounded in the systems of record.
AI for HR — conversational AI for employee self-service at a Fortune 500
Employee self-service on benefits, payroll and policy at a Fortune 500 — what HR stopped answering by hand in the first quarter.
One AI workplace front door for 48,000 employees at a global manufacturer
The employee-experience side of one AI front door: onboarding, policy and service requests in a single place across 48,000 people.
Employee AI agents for 19,000 frontline logistics workers
Reaching deskless workers where they already are — frontline self-service that lifted retention signals, not just ticket counts.
Start-here reading
What happens to the contact center workforce by 2027
Our view of how contact center work, staffing models and economics change through 2027 — what automation absorbs, what it cannot, and how to plan the workforce without betting the service level on a forecast.
AI and the employee contract: the workplace enterprises will run in 2027
Employee experience is where most enterprises will feel AI first and govern it last. Our view of how the employee contract changes through 2027 and what leaders should design now.
AI business automation: an enterprise implementation guide
A practical guide to automating enterprise back-office and cross-functional processes with AI — where the value actually sits, what the architecture must include, and how to run it once it is live.
Agentic AI governance: controlling systems that take actions
Governance designed for agentic systems rather than models — where authority lives, how it is enforced, what evidence to retain, and how to respond when an agent acts wrongly.
What CHROs ask us first
- What should a CHRO expect from AI for HR in the first 90 days?
- A single bounded use case — typically policy Q&A, PTO or benefits lookup — live in Teams or the intranet, grounded on the sanctioned policy set, with sensitive topics hard-routed to HR. The goal is measurable ticket deflection and zero mishandled high-risk cases, not a general-purpose assistant.
- How do we keep employee data governed when an AI agent accesses Workday or ServiceNow?
- The agent inherits the employee's entitlements at query time, never stores PII in the model context longer than the session, logs every tool call and answer, and routes anything touching accommodations, investigations or medical leave to a human with full context.
- Which HR journeys should stay human-led?
- Accommodations, harassment, disciplinary, medical leave and any case with legal or equity risk. The agent's job is to triage, assemble context and route — not to advise, decide or console.
- How is this different from the HR chatbot we already have?
- Most HR chatbots answer questions. A production AI-for-HR layer completes transactions, grounds answers in the employee's own record, and measures deflection by tickets that no longer exist — not by conversations that happened.
Solutions, practice research and free downloads for this role
AI Transformation solutions
Employee Experience
Research practices
Free downloads
For CIOs standing up the enterprise AI operating model.
For Chief AI Officers running an agentic portfolio.
For contact center leaders moving to an AI-first operating model.
Customer experience transformation, implemented — not just designed.
Back office automation that survives audit and peak volume.
An AI strategy you can implement, not a deck you present.
For CFOs putting AI on a defensible budget.
AI for the IT service desk — resolve more incidents without adding headcount.
Get a briefing curated to your role and program.
We run 60-minute sessions with executive teams on the priorities above — leaving you with a shortlist, a business case or a roadmap you can defend.