Gojob revolutionized temporary staffing in France with its AI matching technology. But their technology remains inaccessible to independent agencies. At JAIKIN, we developed an equivalent solution, accessible to agencies of all sizes. Here's how.
1. The Gojob model: what changed temporary staffing
Gojob, founded in 2015, became the French leader in digital temporary staffing within a few years. Their promise: match a temp worker with a job in under 4 hours, compared to the traditional 2-3 day process.
The 3 pillars of Gojob's technology
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Predictive scoring: an algorithm that predicts the probability a candidate will accept and succeed in a job
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Automatic matching: instant candidate-job pairing based on 50+ criteria
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End-to-end automation: from the job offer to the signed contract, without human intervention
The result? Gojob raised over 100M EUR and today places more than 15,000 temp workers per month. But this technology comes at a cost: it requires massive R&D and data investments.
2. Why independent agencies are left out
When a traditional staffing agency (50-500 temp workers) looks at Gojob's technology, it faces a dilemma:
Option 1: Build in-house
- R&D budget: 500K EUR to 2M EUR
- Timeline: 18-24 months
- Team: 3-5 AI developers
- Risk: high (unproven technology)
Inaccessible for 99% of agencies
Option 2: Buy a SaaS solution
- Solutions like Bullhorn, Pixid: 2-5K EUR/month
- Limited AI features
- No advanced predictive matching
- Significant vendor lock-in
Expensive without the real value
The real problem: independent agencies are stuck between solutions that are too basic and technologies that are out of reach. Meanwhile, Gojob and large groups (Manpower, Randstad) continue gaining market share thanks to their technological edge.
3. Our approach: replicating the essentials
At JAIKIN, we analyzed the Gojob model in detail and identified what truly makes the difference: 80% of the value comes from 20% of the features.
What we replicated
Intelligent scoring-based matching
Our algorithm analyzes skills, location, availability, and history to suggest the best candidates in seconds. Compatibility score displayed.
Automatic contract generation
Once a match is validated, the contract, amendments, and pre-hiring declaration are generated automatically. Direct export to your payroll software.
Automated communication
Automatic SMS and emails to propose jobs, confirm schedules, and collect timesheets. The temp worker can do everything from their phone.
What we deliberately did NOT replicate
- Resignation prediction: requires data volumes that small agencies don't have
- Dynamic pricing: not relevant for agencies with fixed framework agreements
- Native mobile app: a responsive web link covers 95% of use cases
These features represent 50% of Gojob's R&D costs, but only 20% of the value for a typical agency.
4. Technical architecture
Our solution is built on n8n (orchestration), open-source AI models, and your existing tools. No black box: you keep control of your data.
Tech stack
Orchestration
- n8n (self-hosted or cloud)
- Real-time webhooks
- Error handling and retry
AI / ML
- Skill embeddings (OpenAI / Mistral)
- Vector similarity scoring
- CV NLP extraction
Integrations
- Existing ATS (Pixid, Anael, custom)
- Payroll software (Silae, Sage)
- SMS (Twilio, OVH)
Hosting
- Servers in France (OVH, Scaleway)
- GDPR compliant
- Automatic backups
Typical workflow: from job order to placement
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1
Job order received: the client sends their request (email, form, phone call). The AI extracts the criteria.
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2
Matching: in 30 seconds, the algorithm identifies the 5-10 best candidates with their scores.
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3
Job offer: automatic SMS to selected candidates. First to accept = placed.
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4
Contracting: contract generated, pre-hiring declaration sent, client confirmation.
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5
Follow-up: timesheets collected via SMS, automatic payroll export.
5. What this kind of automation changes concretely
The clearest public benchmark is the one set by Gojob: matching a temp worker with a job in a matter of hours, where the traditional process takes 2 to 3 days. It's this gain in velocity, made possible by automated matching and contract generation without re-keying, that transforms the job — not some magic number pulled from a spreadsheet.
Rather than displaying "measured" percentages that no one could verify, here are the orders of magnitude observed across the sector when you automate matching, contracting, and temp-worker communication. Read them as directional estimates, to validate against your own volumes — not as contractual promises.
Placement time
Automating matching and job offers typically shifts placement from a days-based logic to an hours-based one for routine jobs — the Gojob gap illustrates the potential.
Administrative time
Automatic generation of contracts, pre-hiring declarations, and timesheets removes a large share of the repetitive data entry from a recruiter's day, freeing time for relationships.
Capacity at equal volume
By removing friction from matching, the same team handles more jobs without degrading follow-up quality — the leverage depends on your talent pool and sector mix.
Sector-level orders of magnitude, provided as indicative figures. Gojob has publicly built its positioning on placement velocity and raised funding to industrialize that model; the real performance of a deployment depends on scope, existing tools, and data quality.
A real JAIKIN project
For a regional staffing group, we're building a custom platform: WhatsApp agents that process job orders, automated ingestion of incoming assignments, and a dedicated assistant for temp workers. A project in production, with no numbers-driven storytelling: what matters is the scope delivered and how it integrates with the existing tools.
See our approach for staffing agencies6. Our approach
Unlike traditional SaaS solutions, we develop a custom solution, tailored to your existing tools and the way you work.
Staffing agencies
Custom solution
- Intelligent AI matching
- Automatic contract generation
- Automated SMS/email
- Payroll integration
- Dedicated support
Recruitment firms
Custom solution
- Intelligent CV parsing
- Candidate-job matching
- Automated follow-ups
- ATS integration
- Automated client reporting
ROI to model
For an agency with 100 temp workers and 2 recruitment consultants, the levers to quantify with you, based on sector-level orders of magnitude (to validate against your volumes):
- Administrative time recovered: high potential on repetitive contract and timesheet data entry
- Additional placements: spare capacity at equal team size, depending on your talent pool
- Return on investment timeline: to model together based on the chosen scope
Want the same for your agency?
Book a 30-minute call. We'll analyze your current processes and show you concretely what automation can change for you.
