Recruitment Solutions

Agency Support

Scale your agency efficiently. AI handles client management, candidate matching, and administrative tasks.

Challenges You Face Today

Client Communication

Too much time updating clients

Candidate Management

Losing track of candidates

Multiple Clients

Juggling competing priorities

Documentation

Contracts and compliance burden

45%
More Placements
60%
Time Saved
35%
Client Retention
2x
Revenue Growth

Agency Challenges

Running an agency is complex

Client Communication

Too much time updating clients

Candidate Management

Losing track of candidates

Multiple Clients

Juggling competing priorities

Documentation

Contracts and compliance burden

Fee Tracking

Complex commission calculations

Performance Metrics

Limited visibility into success rates

AI-Powered Agency Tools

Scale your recruitment agency

Client Portal

Self-service client access

Real-time updates
Candidate review
Feedback submission

Multi-Client Management

Organize across accounts

Client dashboards
Priority balancing
SLA tracking

Candidate Matching

Match candidates to client needs

AI matching
Skill alignment
Culture fit scoring

Contract Management

Streamline paperwork

Template library
E-signatures
Term tracking

Fee & Commission

Automated billing support

Fee calculation
Invoice generation
Payment tracking

Agency Analytics

Track your performance

Fill rates
Time-to-fill
Client satisfaction

Real-World Scenarios

See how AI supports recruitment agencies

Client Status Update

SCENARIO:

Client wants an update on their 5 open positions.

AI RESPONSE:

"AI provides comprehensive update: "I've prepared a complete status report for Acme Corp's 5 open positions. Ready to send or discuss: Senior Developer (45 days open): 3 candidates in final interviews. Top candidate Sarah Chen has second interview tomorrow. Backup candidates John and Maria completed technicals - both rated 4/5 by hiring manager. Expecting decision by Friday. Product Manager (30 days open): 12 candidates sourced, 5 phone screened, 2 moving to onsite. Pipeline is healthy. Challenge: Client's salary range is 15% below market - discussed adjustment. Marketing Director (60 days open): This one's been tough. Presented 8 candidates, 6 rejected for 'culture fit.' Recommend alignment meeting with hiring manager to clarify requirements. I've drafted talking points. Sales Rep x2 (20 days open): Strong pipeline with 8 qualified candidates across both roles. 4 phone screens scheduled this week. Client feedback has been quick on this one. Summary metrics: 28 candidates submitted across all roles, 12 client interviews completed, average time-to-feedback: 2.3 days (good!). Shall I send this formatted report to Sarah at Acme, or would you like to review/edit first?""

Candidate Submission

SCENARIO:

Need to submit a candidate to client with compelling presentation.

AI RESPONSE:

"AI creates professional submission: "I've prepared a polished candidate submission package for Michael Torres to the VP of Engineering role at TechStart. Submission package includes: Executive Summary: Michael is a 12-year engineering leader who scaled teams from 15 to 80 at his current company. He's built and launched 3 products from 0 to $10M ARR. His leadership style emphasizes psychological safety and continuous improvement - aligned with TechStart's culture values. Key Qualifications Match: Requirement: 10+ years engineering experience. Michael: 12 years, last 6 in leadership. Requirement: Scaled engineering teams. Michael: Grew team 5x while maintaining quality metrics. Requirement: Enterprise SaaS background. Michael: Led development of B2B platform serving Fortune 500 clients. Differentiators: Published thought leader - speaks at engineering conferences. Implemented engineering career ladder that reduced turnover 40%. Track record of promoting from within - developed 4 directors from senior engineers. Compensation alignment: His expectation ($280K-$320K + equity) aligns with the role's $300K band. Interview Prep Notes: Motivations for move (growth opportunity), potential concerns to address (startup size), and ideal interview format. Shall I send this to Jennifer at TechStart with your standard introduction?""

Fee Dispute Resolution

SCENARIO:

Client questioning the placement fee for a recent hire.

AI RESPONSE:

"AI helps resolve: "I've pulled together the documentation for the TechCorp fee discussion. Here's the situation and recommended response: Agreement terms: Your contract with TechCorp specifies 22% of first-year salary for permanent placements. Signed agreement dated January 2024, signed by their VP of HR (Sarah Martinez). The placement: David Kim, Senior Product Manager, hired March 15, 2024. Starting salary: $165,000. Calculated fee: $36,300 (22% × $165K). Client's concern: They believe the fee should be based on $145K (the originally posted salary range), not the actual offer. Your position supported by: Contract clearly states 'first-year compensation' not 'posted range'. Industry standard is actual offer, not posting. Their counter-offer increased salary to secure the candidate (we advised they'd need to go higher). Resolution options I'd suggest: 1. Hold firm with documentation (recommended) - you're in the right and have clear contract language. 2. Goodwill discount of 1-2% to maintain relationship if they're a high-value client. 3. Offer to apply difference to future placement as credit. I've drafted a professional response email that acknowledges their concern while firmly citing contract terms. TechCorp has placed 4 candidates through you in 18 months - relationship worth preserving. How would you like to proceed?""

Grow Your Agency

Scale your recruitment business with AI support.