Employee referral process tracker

For recruiting operations teams, turn approved program rules and minimal referral records into recruiter-reviewed referral status log. Address this specific problem: referrers cannot understand administrative referral status. The aim: transparent process without candidate ranking. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.

The buyer creates a project, supplies approved program rules and minimal referral records, and confirms scope and access. Users correct extracted facts, resolve flagged uncertainties and approve the final recruiter-reviewed referral status log before use. Retain source links and a version history for the next cycle.

How the AI works

AI assists these bounded tasks: map process stages; track required confirmations; draft status explanations. Use only approved program rules and minimal referral records and preserve uncertainty in recruiter-reviewed referral status log. 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 approved program rules and minimal referral records. 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 approved program rules and minimal referral records. 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: map process stages; track required confirmations. Support the third task through an assisted review queue: draft status explanations. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of recruiter-reviewed referral status log. 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. Calendars, email, task managers and relevant business records. Use draft actions and supervised handoffs first, then enable only specifically authorized writes. Begin with uploads and exports of approved program rules and minimal referral records. 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

Use a queue or timeline as the opening view, with clear owners, dates and current states. Each case opens into its source context, proposed actions and discussion. Give external participants a limited form or status page. Make the next required action visible without opening every record. Open with brief and sources; move into employee referral process tracker 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.