Golden Example — Candidate Experience Journey (Agent Process)
The Benchmark
Status: AWAITING FIRST DEPLOYMENT
The golden example for an AI-assisted candidate experience workflow will be drawn from the first completed client deployment where AI tools were used in the communication production process and the output passed full QC.
What the Golden Example Will Demonstrate
When the first qualifying deployment is complete, this file will document:
- Which communications were AI-drafted versus human-written
- The prompting approach that produced consistent tone across all touchpoints
- Quality comparison between AI-drafted and human-written communications
- Where AI accelerated production and where it introduced risk
Interim Agent Workflow Specifications
Until the golden example exists, use these specifications for AI-assisted journey production:
Where AI Can Assist
Communication drafting from templates. Given a template structure, candidate name, role title, and stage-specific context, AI can draft personalized communications. The practitioner reviews and edits before sending.
Candidate package assembly. Given interviewer information, schedule details, and presentation instructions, AI can assemble the candidate package document. The practitioner verifies accuracy.
Cadence tracking and reminders. AI can monitor communication cadence commitments and flag when a warm communication is due. The practitioner decides what to send.
Bulk close-out communications. When a role is filled, AI can draft personalized close-out communications for all remaining candidates, varying language based on how far each candidate progressed. The practitioner reviews each before sending.
Rejection communication drafting. Given the stage, the candidate's name, and any specific context the practitioner provides, AI can draft the rejection communication. The practitioner reviews for tone, accuracy, and appropriateness before sending. Phone call talking points can also be drafted.
Where AI Cannot Replace the Practitioner
Rejection phone calls. The conversation is human. AI can draft talking points, but the call itself requires empathy, real-time reading of the candidate's response, and the ability to answer questions the candidate raises.
Offer conversations. Verbal offers involve negotiation, relationship dynamics, and real-time decision-making. AI cannot conduct these.
Tone judgment for sensitive communications. When a candidate is upset, when a search has been unusually long, when the rejection comes after a finalist-level investment — the tone requires human judgment. AI can draft; the practitioner must evaluate whether the draft is right for this specific candidate in this specific moment.
Accommodation decisions. Determining how to adjust the interview process for a candidate who needs accommodations requires understanding of the specific situation, legal requirements, and organizational flexibility. AI cannot make these decisions.
What the Golden Example Does NOT Provide
Even after the golden example is established:
Prompts for your journey. The golden example's prompts were designed for a specific practitioner's voice, client brand, and search context.
Tone calibration for your client. The golden example reflects one practitioner's communication style. Your AI prompts must be calibrated to the current practitioner's voice.