HR transformation use cases.

Use these examples to clarify a project before choosing a solution.

These are illustrative project scenarios, not client case studies or reported results. Each connects an employee or service problem with a bounded improvement and a way to evaluate it.

Make onboarding easier to navigate

Challenge: New hires do not know which tasks are required, which information has already been submitted, or whom to contact when a step is delayed.

Project: Map the journey from offer acceptance through readiness for the first day. Simplify the intake, name an owner for each handoff, and make the next required action clear. Start with one employee population rather than every country and hiring type.

Evaluate: Check end-to-end readiness time, repeated requests for information, incomplete tasks, and new-hire effort. A completed checklist is useful only if the employee can take the next step.

Explore HR transformation and employee experience ↗

Help employees find current policy guidance

Challenge: Routine questions are answered inconsistently because guidance is spread across different documents or applies to different populations.

Project: Establish approved sources and content owners before testing a bounded AI assistant. Require the answer to identify its supporting guidance. Route conflicting, unsupported, and out-of-scope questions to a person.

Evaluate: Sample answer accuracy, source relevance, time to a usable answer, and the quality of the human handoff. Keep consequential employee decisions in the established review process.

Use the HR AI readiness checklist ↗

Reduce repeated handoffs in HR services

Challenge: A request moves between teams, each completing its task while the employee still lacks a resolution.

Project: Follow a representative request through its complete journey. Agree on one definition of resolution, eliminate duplicate intake, and identify who owns exceptions. Clarify the routing rules before automating them.

Evaluate: Compare elapsed resolution time, handoffs, reopened requests, and correction workload. Review similar request types so changes in the case mix do not distort the comparison.

Build a balanced HR service scorecard ↗

Connect AI training with everyday work

Challenge: Employees finish training but remain uncertain about where to use AI or when an output needs review.

Project: Choose one approved task. Provide a realistic exercise, a quality check, and a clear escalation path. Give managers a way to support practice and collect feedback on the changed work.

Evaluate: Observe task completion and error recognition, alongside confidence and support needs. Training attendance alone does not show whether people can apply the skill.

Explore reskilling and upskilling ↗