AI candidate screening: automated resume review

Hiring: process 100 resumes in hours, not days

Agent reads resumes and applications, extracts key info (experience, skills, education, salary expectations), ranks by job description relevance, creates shortlist. Integrates with HRIS (BambooHR, Workday), email, Google Drive. 50+ languages. $19/mo.

366k+⭐ OpenClaw on GitHub
<5minutes to launch

Sound familiar?

What's eating your time

HR manager manually reviews 100+ resumes — hours wasted on tedious work

Good candidates get lost in the pile — hard to identify relevant experience, scoring inconsistent

No standardized process — each recruiter evaluates differently; no documentation on what to look for

Rejections and offers send slowly — great candidates accept competing offers while you're still reading resumes

Capabilities

What your AI agent can do

Resume parsing and data extraction

Agent reads PDF, Word, or text resumes, extracts: work experience (titles, companies, dates), skills (technical, soft), education, languages, certifications, salary expectations, relocation willingness.

Rank against job description

Agent compares resume to job description: required skills (match %), experience (years), education, location. Outputs score 0–100 with explanation: 'Tech stack 95% match, 5 years experience (required 3), education OK'.

Auto-create shortlist

Agent selects top-N candidates based on your criteria: minimum score, must-have skills. Outputs table with contacts, score, key highlights. 100 resumes → top 10-15 in minutes.

Template emails (rejection/invitation)

For selected candidates → generates personalized invitation: 'We see you have 7 years React experience.' For rejected → courteous thank-you + save to database for future roles.

HRIS and email integration

Shortlist syncs to BambooHR/Workday, emails sent from your accounts, candidates auto-added. Status updates: invited to interview → marked in HRIS.

Works with your tools

Gmail
Outlook
Google Drive
BambooHR
Workday
Slack
How it works

Get started in a few steps

1

Upload resumes and job description

Upload folder with resumes (PDF, DOC, TXT) or link Google Drive folder. Paste job description: critical skills, experience level, salary range, nice-to-have.

2

Agent processes resumes

Agent reads each resume, extracts experience, skills, education, salary. Simultaneously compares to job description, scores each candidate (0–100).

3

Shortlist and ranking

Agent selects top-N candidates (you set threshold), outputs table: name, email, score, key skills, experience, match highlights. Sorted by score.

4

Send emails (invitation/rejection)

For top candidates → generates and sends personalized interview invitation. For others → auto thank-you message. All from your email account.

5

Sync to HRIS and follow-up

Results sync to BambooHR/Workday (new candidates, statuses). Reminders: 'Invite top 3 to interviews', 'Send offers'. Analytics: processed count, conversion rate screening → interview.

FAQ

Frequently asked questions

Yes. PDF (most common), Word (.docx), Google Docs, plain text (pasted in email). Can also extract from LinkedIn URLs if you provide profiles.

Want OpenClaw — without the DevOps?

OpenKlo is managed hosting for the original OpenClaw. Same agent, live in 3 minutes.

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