1. Candidate intake
Collect attachments, normalize candidate details, acknowledge receipt, and prepare structured recruiter context.
For Recruitment & Staffing Agencies
Give recruiters back time without losing the human touch
CodeSimplr builds focused AI and n8n workflows for candidate intake, screening support, follow-up, job descriptions, and reporting—while recruiters stay in control of every decision.
2. Screening support
Compare resumes with role criteria, surface evidence, and keep the final shortlist decision with the recruiter.
3. Follow-up & reporting
Trigger status updates, reminders, interview notes, and recurring client or team reports from the same workflow.
Why this segment is ready for a focused automation pilot
Bullhorn's 2026 GRID Industry Trends Report surveyed nearly 2,300 recruitment professionals. It found that top-performing firms were four times as likely to use AI, while recruitment leaders reported that the practical value came from scaling work, improving recruiter productivity, and creating more time for client and candidate relationships. The finding is a correlation, not a promise of results for any individual agency.
A bounded 14-day workflow pilot
Start with one repeated task and one measurable baseline. The pilot is deliberately small enough to test against the tools the agency already uses before considering a broader rollout.
Days 1–2: Map
Confirm the current steps, system owners, data fields, human approval point, failure path, and baseline measure.
Days 3–10: Build & test
Connect one main input to one destination, add validation and logging, then test with controlled sample records.
Days 11–14: Handover
Run team acceptance checks, document the workflow and recovery steps, and compare the pilot with the baseline.
Included: one workflow, one primary intake source, one destination such as an ATS, CRM, spreadsheet, or inbox, one human approval point, documentation, and handover. Fixed pricing is quoted after the free audit confirms the systems and data-handling requirements.
Public proof: AI resume screening with n8n
The CodeSimplr project shows the core workflow pattern: receive resumes, parse attachments, normalize candidate data, compare it with a job description, log structured insights, and notify the recruiter. A production pilot is scoped around your systems, criteria, review controls, and data-handling requirements.