HR service request duplicate mapper

For people shared-service teams, turn authorized de-identified request histories into reviewed duplicate-request report. Address this specific problem: repeated requests hide unresolved upstream issues. The aim: understand repeat demand without profiling employees. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.

The buyer creates a project, supplies authorized de-identified request histories, and confirms scope and access. Users correct extracted facts, resolve flagged uncertainties and approve the final reviewed duplicate-request report before use. Retain source links and a version history for the next cycle.

How the AI works

AI assists these bounded tasks: group repeated issues; link prior handoffs; draft root-cause questions. Use only authorized de-identified request histories and preserve uncertainty in reviewed duplicate-request report. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.

Safeguards

Keep employee data access explicit and confidential. Use human judgment for personnel decisions and do not infer protected traits or hidden personal characteristics. One organization, one defined input format and one representative pilot batch using authorized de-identified request histories. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.

What to build first

Costed pilot: One organization, one defined input format and one representative pilot batch using authorized de-identified request histories. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: group repeated issues; link prior handoffs. Support the third task through an assisted review queue: draft root-cause questions. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of reviewed duplicate-request report. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.

What it can connect to

Approved HR documents, employee directories and learning records. Read-only business data exports, reporting databases and task trackers. Reconcile source totals before scheduling recurring data refreshes. Begin with uploads and exports of authorized de-identified request histories. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

The screens in detail

Open with a compact overview and filters for the relevant period or segment. Let users drill from each theme or metric into underlying records. Keep source definitions and missing-data notes near the result. Use an action panel to assign investigations and record what was learned. Open with brief and sources; move into HR service request duplicate mapper for the detailed task; finish in review and delivery for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.