A warehouse temp called out sick at 5:45 AM — shift starts at 7. Your TabTab agent received the call-out notification, scanned your bench of 140 available workers within 15 miles, filtered by forklift cert and the client's required drug screen status, texted the top 5 candidates, and confirmed a replacement by 6:30 AM. The client site supervisor got a text with the replacement's name and ETA. Your recruiter's phone never rang.

Candidate sourcing is time-intensive — hours scrolling job boards
AI scans applications and resume databases, parses qualifications, and builds ranked shortlists matching your job requirements and client preferences
Resume screening bottleneck — 200 resumes per job, 90% unqualified
Agent scores candidates against job requirements using skills, experience, location, and compensation fit. Top 10% flagged for recruiter review.
Interview scheduling is back-and-forth — 6 emails to book one meeting
Agent coordinates availability between candidates, hiring managers, and your team. Sends calendar invites, reminders, and prep materials.
Placement follow-up drops off — retention problems surface too late
Agent contacts placed candidates at 7, 30, 60, and 90 days. Tracks satisfaction scores and flags retention risks before they become falloffs.
Client job requirements are vague — bad matches waste everyone's time
Intake agent asks structured questions to clarify must-haves vs. nice-to-haves, compensation range, culture fit indicators, and timeline.
Pipeline visibility is poor — recruiters work from memory
Real-time pipeline dashboard shows every candidate's stage, every job's fill status, and every client's pending requirements.
Structured intake captures must-haves, nice-to-haves, compensation range, and timeline. AI builds ideal candidate profile and begins sourcing immediately.
AI scans applications and databases, scores against requirements, and presents ranked shortlists. Recruiter reviews top candidates, not the full pile.
Interviews scheduled across all parties. Candidate prep packets sent. Post-interview feedback collected and compiled for client presentation.
Offer extended, start date confirmed. Onboarding checklist sent. Follow-up contacts at 7, 30, 60, 90 days track satisfaction and flag risks.
Every node below is an agent that runs on your TabTab hardware. Click a department or agent for details.
Captures client requirements, builds job specs, and sets fill deadlines.
Searches resume databases and job boards for matching candidates.
Reaches out to prospect companies with placement success stories.
Every agent above is buildable with a TabTab installation. Your 3-hour Bench onboarding gets you the first 6 agents. The community ships the rest.
Goes beyond keyword matching. AI understands that 'React' experience is relevant for 'frontend' roles, that 'P&L management' maps to 'financial leadership'.
Surfaces past candidates who weren't placed but match new requirements. Your existing database becomes a competitive advantage, not a dusty archive.
Weekly activity reports generated per client: candidates sourced, screened, submitted, interviewed, and placed. No manual tracking required.
Analyzes placement risk factors: commute distance, compensation vs. market rate, role change magnitude. Alerts recruiters to high-risk placements for proactive retention.
17+ agents across 5 departments — configured, tested, and trained for your specific operation. One price. Full ownership. No monthly platform fees.