Operun Solution Playbook

Enterprise AI Recruitment Copilot for Job Portals

A candidate screening agent that reads every profile against your JD, greets the right people first, and keeps your talent radar running around the clock.

BOSS Zhipin
Liepin ^ENT (Requires Enterprise Operator Build)
Maimai ^ENT (Requires Enterprise Operator Build)

Requires Enterprise Operator Build. Liepin, Maimai workflows are not available in the Chrome Web Store build — they run on the separately distributed enterprise edition. Talk to us about enterprise access.

Book a Demo

Business Pain Point

What slows your team down today

Recruiters drown in low-fit profiles

Hundreds of new profiles land daily per role, and recruiters spend most of their day opening, skimming and discarding them.

Slow first contact loses top talent

Strong candidates accept other conversations within hours. Manual greeting queues mean you reply tomorrow.

Portal data never reaches the ATS

Screening notes and conversation history stay trapped inside each job portal, so hiring managers work from stale spreadsheets.

Operun Advantage

Why the Operun kernel gets it right

Zero debugger bar

The store build ships without the debugger permission, so job portals see a normal browser session — no yellow banner, no injected scripts.

Native human-like interaction

Physical clicks and real keystrokes, paced like a recruiter, keep greetings and follow-ups natural on every portal you operate.

JD-grounded AI scoring

Every profile is scored against the structured JD with an explainable rationale, so recruiters review a ranked shortlist instead of a raw feed.

01
Define the role

Upload the JD, greeting templates and screening rules for the role.
02
Screen incoming profiles

Operun opens each new profile on BOSS Zhipin, Liepin or Maimai and the AI scores it against the JD.
03
Greet qualified candidates

Candidates above threshold receive a personalized greeting with human-like pacing.
04
Sync to your ATS

Shortlists, scores and conversation status are exported to your ATS for hiring-manager review.

Input / Output Artifacts

What goes in, what comes out

Inputs

Job description

Markdown / DOCX — requirements, must-haves, salary band
Greeting templates

Plain text with merge fields
Screening rules

YAML / form — knock-out criteria and score thresholds

Deliverables

Ranked candidate shortlist

XLSX / CSV with score and rationale per candidate
Outreach log

CSV — greeting sent, reply status, timestamps
ATS sync payload

JSON ready for ATS import or webhook

ROI Impact

Measured in hours, not promises

5×

more profiles screened per recruiter per day

24/7

first-contact coverage, including nights and weekends

70%

less time on manual profile triage

Typical results from production engagements; your outcome depends on store count and workflow scope.

See this playbook run on your stack

Book a live demo and watch Operun execute enterprise ai recruitment copilot for job portals inside your real workflow.