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AI Agents

Candidate Rediscovery Agent — Surface Hidden Pipeline Matches

The Candidate Rediscovery Agent runs in the background, matching your candidate graph against every active search — surfacing candidates you already know who fit mandates you haven't thought to connect them to yet.

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The value already in your pipeline

A recruiter who has been placing for three years has a candidate graph worth far more than its current utilization suggests. Hundreds of qualified individuals who didn't get the role they interviewed for, who passed on an offer, who weren't right for one search but would be right for another. Without a systematic way to match that history to new mandates, it sits dormant.

The Candidate Rediscovery Agent changes that equation. It continuously evaluates every candidate in your graph against every active search you're running — assigning a fit score, surfacing the match for your review, and prompting a context-aware re-engagement suggestion when the fit is strong.

What the Candidate Rediscovery Agent does

Continuous graph-to-mandate matching

Runs automatically in the background. As new mandates activate and candidates are added to your graph, matches are identified and surfaced without manual intervention.

Relationship-context scoring

Match scores incorporate relationship context: last contact date, prior placement outcome, response history, and engagement warmth — prioritizing re-engagements most likely to land.

Career signal enrichment

The agent monitors candidates for career signal changes — new role, company news, tenure milestone — that indicate heightened openness to outreach.

Re-engagement suggestion generation

For strong matches, the agent drafts a recruiter-reviewed re-engagement suggestion with relationship context and role-specific framing.

Candidate Rediscovery workflow

Candidate graph + active mandates → continuous matching → recruiter-reviewed re-engagement suggestions.

SourcingOutreachScreeningSchedulingRediscoveryComplianceRecruitersHiring managersATSCandidatesAnalyticsAgentlayer

Inputs, outputs, and workflow connection

  1. 01

    Inputs

    Your candidate CRM graph and all active mandate briefs. The agent runs on every new mandate activation and on weekly graph re-scans.

  2. 02

    Processing

    Fit scoring against mandate requirements weighted by relationship context — stronger relationships with better fit surface first.

  3. 03

    Output

    Recruiter-facing rediscovery queue: matched candidates ranked by fit + relationship score, with re-engagement suggestion drafts.

  4. 04

    Workflow connection

    Approved re-engagements flow into the Outreach Copilot queue for message drafting and sending.

Rediscovery impact metrics

31%
Of placements from existing graph for active TAL.co recruiters
67%
Higher offer acceptance rate from warm re-engagements
4.8×
ROI on relationship investment vs. cold sourcing
FAQ

Questions, answered

How often does the Candidate Rediscovery Agent scan my graph?

Automatically on every new mandate activation, and on a weekly full-graph scan. You can also trigger a manual scan at any time.

Does the agent contact candidates directly?

No. The agent surfaces matches and drafts re-engagement suggestions for recruiter review. No outreach is sent without recruiter approval.

Will it surface the same candidate repeatedly if I haven't acted on a match?

Yes, with decay. A match that hasn't been actioned within 30 days is re-surfaced with updated context. After three non-actions, it moves to a lower-priority queue.

Activate the value in your existing pipeline

AI-assisted candidate rediscovery turns your graph history into a continuous source of placement opportunities.