HR Tech & Staffing
Representative engagementA recruiter copilot inside a staffing platform
Matching, screening and outreach assistance embedded in the workflows recruiters already use, with people controlling every decision.
Context
The situation
A staffing software product serves recruiters who search large candidate databases, screen applicants and send outreach every day. Keyword search misses good candidates, screening is repetitive and outreach is written from scratch.
Problem definition
How we framed it
Rather than a separate AI tool, the product needed AI inside the workflows recruiters already use. We framed it as three capabilities with clear human control: semantic matching with explainable scores, screening assistance that summarizes fit against the job, and outreach drafting in the recruiter's voice, all measured on recruiter adoption and time saved per requisition.
Delivery
What we built
- Semantic candidate and job matching with explanations of why each candidate ranks where they do
- Screening summaries that compare a profile against job requirements and highlight gaps
- Outreach drafting with tone controls and templates, always reviewed before sending
- An AI gateway with cost controls, logging and provider abstraction inside the product's architecture
- Fairness testing and documentation to support customers' hiring compliance obligations
Similar problem? We would love to hear it.
Operating impact
What changes for the business
Recruiters find candidates keyword search would have missed, spend less time on repetitive screening and outreach, and keep full control over every decision and message. The product team gains a reusable AI layer for future features.
Related services
Services involved
Industry
The domain behind the work
Next step
Ready when you are.
Tell us what you are trying to build and we will come back with a point of view, not a pitch.