AI-Driven Talent Requisition to Interview Automation
An end-to-end AI platform — ReqGen, VendorMatch, and an AI Interview Agent — that automates every stage of talent acquisition from requisition generation to scored interview summary, compressing weeks of manual effort into hours.
Talent acquisition at enterprise scale — still running on manual coordination
For large organisations managing hundreds of open roles across multiple vendors and geographies, talent acquisition is one of the most process-intensive operations in the enterprise. Yet most of it still runs on email threads, calendar back-and-forths, and manual document review.
Hiring managers spend days drafting requisitions from scratch. Vendor selection is driven by familiarity rather than data. Recruiters spend a third of their day reading resumes that don't match the rubric. Interview notes sit in personal documents, and summaries are assembled hours after the fact — inconsistently.
The opportunity was not incremental process improvement — it was a complete reimagining of the talent acquisition lifecycle using AI agents that could understand context, reason about fit, and act autonomously at every stage.
Key Challenges
Requisition drafting required 2–5 days of manual coordination between hiring managers, HR, and procurement
Vendor selection from staffing agencies was inconsistent, slow, and biased toward familiarity over fit
Resume screening consumed 10–20 minutes per candidate with no standardised scoring rubric
Interview scheduling turnarounds stretched 2–4 days across time zones and calendars
Post-interview summaries took 30–60 minutes per interviewer to compile from scattered notes
No structured intelligence layer connecting requisition intent to vendor capability to candidate fit
Key Requirements
LLM-powered requisition generation contextualised to role, team, and historical hiring patterns
Intelligent vendor scoring and ranking using performance data, delivery speed, and compliance history
Automated resume parsing, evidence extraction, and rubric-aligned candidate scoring
AI scheduling agent coordinating candidates, interviewers, and conferencing systems
AI interview agent conducting structured interviews with real-time transcription and scoring
Full governance layer: human-in-the-loop approvals, bias monitoring, explainability, audit trail
Requisition to offer — fully automated
Five AI agents collaborate in sequence, each building on the structured output of the last — with human approval gates at critical decision points.
Human-in-the-loop approvals at requisition, vendor shortlist, and offer stages · Bias monitoring · Full audit trailFive specialised agents. One intelligent hiring system.
Each agent is purpose-built for its stage — operating independently while passing structured context to the next, creating a coherent intelligence chain from first need to final decision.
Uses a large language model grounded in retrieval-augmented context — pulling from historical requisitions, role performance data, and team structure — to generate complete, accurate job requisitions in minutes. Hiring managers review and approve; they no longer author from scratch.
Analyses each staffing vendor against the specific requisition — scoring on historical placement quality, time-to-submittal, compliance record, category specialisation, and 90-day retention — to produce a ranked shortlist. Replaces relationship-driven vendor selection with evidence-based intelligence.
Parses inbound resumes, extracts structured evidence aligned to the requisition rubric, and produces a scored candidate profile. Reduces per-resume review time from 10–20 minutes to 2–5 minutes — with explainable scores that recruiters can review and override.
Integrates with Microsoft Graph (Outlook/Teams) and Zoom to find mutual availability, propose interview slots, send invitations, and handle rescheduling — reducing scheduling turnaround from 2–4 days to same-day or next-day confirmation.
Conducts structured interviews by presenting requisition-aligned questions, recording responses, transcribing with Whisper, and scoring answers against the rubric. Produces a concise interview summary in under 5 minutes — no facial expression or emotion analysis; purely response-quality based.
Every AI decision is explainable, auditable, and subject to human override. Bias monitoring runs on scoring outputs. No emotion or facial analysis — assessments are based solely on response quality and rubric alignment.
Measurable impact across every stage of hiring
Enterprise-grade AI infrastructure
Cloud Infrastructure
AI & ML Layer
Enterprise Integrations
Ready to transform your talent acquisition with AI?
Our architects design agentic AI systems that fit your existing ATS, VMS, and HCM stack — delivered with full governance and compliance alignment.