Agentic Managed Services

AI agents improved hiring speed by 70% and cut manual recruiting effort by 80%

A talent acquisition agent automates recruitment from sourcing to selection, matching candidates, coordinating interviews, and turning interview transcripts into objective, auditable hiring decisions, built for a large scale manufacturing organization.

The Opportunity

Candidate profiles, assessments, and application data sat in disconnected systems, so hiring teams had no single view of who they were evaluating. Without objective scoring, candidate shortlisting relied on individual recruiter judgment, and post interview insights depended entirely on manual notes.

Manual coordination of interview scheduling and follow ups created further delays. The organization needed hiring to move faster without losing consistency or accountability.

The Transformation

A talent acquisition agent scores and ranks candidates against the job description, coordinates interviews end to end, and reads post interview transcripts to surface insights that used to get lost in manual notes.

Every shortlist decision rests on consistent, criteria based scoring instead of individual judgment.

  1. Intelligent Candidate Matching

    The agent scores and ranks the top 10 candidates for each role against the job description, replacing manual resume screening with a consistent, repeatable comparison.

  2. Interview Coordination

    Meeting invites, scheduling, and status updates for candidates and hiring managers are handled automatically, keeping everyone informed at every stage without manual chasing.

  3. Interview Transcript Analysis

    The agent automatically reads and analyzes post interview transcripts to extract key insights, so what a candidate said in the interview gets captured and acted on, not left to whoever happened to take notes.

  4. Bias Reduced Decision Support

    Subjective shortlisting is replaced with objective, criteria based scoring, giving hiring managers a consistent, auditable basis for every candidate decision.

Impact
70%

Improvement in recruitment speed and quality

80%

Reduction in manual effort spent on scheduling and coordination

~25–30%

Reduction in candidate drop off from faster response times

~15–20 hrs

Recruiter hours saved per role filled

Tech Stack: Azure OpenAI, Azure Logic Apps, Copilot Studio, Azure AI Search
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