RH & Talents
HR 2026: O137 for Automated Recruitment and Talent Management
1/30/2026ā¢4 min read
HR Department: Recruitment remains 85% manual (sourcing, screening, interviews). Few resources cover orchestrating HR AI agents to cut time-to-hire by 47% while eliminating unconscious bias. Concrete O137 workflows for HR Directors.
HR 2026: O137 for Automated Recruitment and Talent Management (EN)
HR Department: Recruitment remains 85% manual (sourcing, screening, interviews). Few resources cover orchestrating HR AI agents to cut time-to-hire by 47% while eliminating unconscious bias. Concrete O137 workflows for HR Directors.
HR Problem: 200h/month wasted per recruiter
2026 Reality:
š Sourcing: 42h/week LinkedIn/WelcomeToTheJungle
š Screening: 28h/week CV reading
š First interviews: 18h/week
ā Time-to-hire: 43 days (vs 22 target)
ā Cost/hire: ā¬28k (junior), ā¬87k (senior)
O137 HR: 4 specialized agents = 6h/week per recruiter.
Agent 1: Intelligent Sourcing (LinkedIn + Job Boards)
Trigger: New job opening Notion/Airy
17 input sources:
š LinkedIn Recruiter + Sales Navigator
š§ WelcomeToTheJungle + WelcomeTech
š Le Wagon + School of Code + WildCodeSchool
š¼ Malt + Comet + RocketUp
š StackOverflow Jobs + Indeed
5-agent swarm:
1. Profile Matcher: 87% job description fit
2. Diversity Scorer: gender/school/experience balance
3. Availability Detector: "open to work" signals
4. Outreach Personalizer: 3 message versions
5. Priority Ranker: top 50 candidates/day
Output:
Notion DB: 50 candidates/week + scores
Email sequence: 0 ā interviews in 7 days
Agent 2: Anonymized CV Screening (bias-free)
Input: 247 CV PDFs (sourcing pile)
O137 anonymization:
ā
Removes: name, age, gender, photo, address
ā
Extracts: skills, experience, degrees, missions
ā
Hard skills score: 92% job match
ā
Soft skills score: NLP project analysis
Bias-free scoring:
Technical fit: 87%
Cultural potential: 76%
Diversity score: A (balanced)
ā Top 15 ā Recruiter interviews
Agent 3: Automated Technical Interview (first level)
Trigger: Recruiter-approved CV
42min adaptive test:
š Live Code: 3 exercises (algo + job-specific)
š¤ Technical questions: adaptive difficulty
š¬ Oral interview: 12min async video
š Assessment: hard + soft skills
O137 analysis:
- Code: execution + auto-review (12-point rubric)
- Video: sentiment, clarity, energy (multimodal NLP)
- Final score: 0-100 + recommendation
Output:
Recruiter: 2min brief + verdict + video highlights
ā +47% accuracy vs human alone
Agent 4: Intelligent Onboarding (first month)
Trigger: Contract signed
Onboarding swarm:
š Admin: email/laptop/badge setup (auto)
š Training: personalized path (skills gaps)
š„ Team matching: buddy + AI-recommended mentor
š Check-ins: weekly async feedback
O137 predictive:
M1 churn risk: 12% (early signals)
M3 performance: 87% (vs avg 73%)
Gain: -39% M1 turnover.
O137 HR Architecture (job connectors)
Ready connectors 18min setup:
ā
LinkedIn Recruiter API
ā
WelcomeToTheJungle API
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Notion/Airy (job descriptions)
ā
Greenhouse/Lemay (ATS)
ā
Google Workspace (onboarding)
ā
Slack HR (urgent alerts)
ā
CultureAmp (internal NPS)
HR Security:
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GDPR Art9 (personal data)
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Irreversible CV anonymization
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Explicit candidate consent
ā
100% process audit logs
HR ROI quantified (12 months)
Before O137:
Time-to-hire: 43 days
Cost/hire: ā¬28k junior, ā¬87k senior
M1 turnover: 23%
After O137:
Time-to-hire: **22 days** (-49%)
Cost/hire: **ā¬14k junior, ā¬43k senior**
M1 turnover: **14%** (-39%)
Savings: **ā¬1.8M/year** (42 hires)
O137 HR Templates (immediately copyable)
Template 1: LinkedIn Sourcing
System prompt:
"You're a senior tech recruiter at O137.
Mission: find 50 best [role] candidates on LinkedIn in 1h max.
Mandatory criteria:
1. Hard skills: [8 must-haves list]
2. Experience: [X-Y years]
3. Signals: 'open to work', recent posts, activity
4. Diversity: school/gender/atypical profile balance
Strict JSON output:
[{name, linkedin, fit_score, diversity_score, message_perso}]"
Template 2: CV Anonymizer
Extract + score bias-free:
- Remove: name/age/photo/address
- Extract: skills, experience, quantified results
- Score hard/soft skills vs job description
- Flag potential biases (prestige school only...)
HR O137 Ready Checklist (4 weeks)
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[ ] Sourcing agent live (50 candidates/day)
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[ ] Anonymized CV screening (200 CVs/week)
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[ ] Async tech interviews (first level)
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[ ] Predictive onboarding (M1 churn)
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[ ] ROI dashboard (cost/hire, time-to-hire)
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[ ] 100% GDPR compliance
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[ ] <6h/week per recruiter
Success metrics:
Time-to-hire: 22 days (-49%)
Cost/hire: -51%
M1 turnover: -39%
87% candidate satisfaction