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Industry

AI Automation for Recruitment Agencies

Screen faster, respond to everyone, and keep the database warm

Recruitment is a volume game played against the clock. Hundreds of applications, most unsuitable, all deserving a response, and a placement window measured in days. VelvoAI builds systems that handle screening, matching, scheduling and communication so recruiters spend their time on the shortlist.

Built by VelvoAI, an independent AI systems studio. One engineer scopes and writes every system.

What the system does

Applicant answered
Every
Against the brief
Ranked
Interview booking
Auto
Recruiting · what usually gets built
SectorRecruiting
  1. SystemDocument AI
  2. SystemWorkflow Automation
  3. SystemSales Automation
  4. SystemAutonomous AI Agents
  5. SystemVoice AI Agents

Where it hurts

What slows recruitment agencies down

  • High application volume means most CVs get a cursory scan at best
  • Candidates who never hear back damage your reputation and future pipeline
  • Interview scheduling across candidate, client, and recruiter is pure coordination cost
  • The existing candidate database is a dormant asset nobody has time to work
  • Job descriptions and candidate summaries are written from scratch every time

The boundary

What has to be true before anything ships in recruitment agencies

Compliance noteRecruiting

Where a candidate's data came from matters as much as what the software does with it. Pulling in third-party records to score someone crosses into consumer-reporting territory in the US, which attaches disclosure and adverse-action duties the employer cannot delegate. Reading only what the candidate submitted is a materially smaller exposure, and it is the default here.

Solutions

Detailed solutions for recruitment agencies

Each page covers the specific workflow, the use cases, and what changes once it is live.

Questions recruitment agencies ask before building

01Is AI screening legally risky?

It requires care. We build for explainability — every ranking shows which brief criteria matched and where — keep humans as the decision-makers, and avoid inferring protected characteristics. Several jurisdictions now regulate automated employment decisions specifically, which is a design constraint we work within.

02How accurate is CV parsing?

Structured CVs parse very reliably. Heavily designed ones with multi-column layouts and graphics are harder, so we benchmark against your real applicant pool rather than a clean sample.

03Can it re-engage our old candidate database?

That is often the highest-return first project. Matching a new brief against thousands of dormant candidates and running a personalised re-engagement sequence surfaces placements from records you already paid to acquire.

Other sectors

Industries we also work in

Written by
Usman Ali, Founder
Last reviewed

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