HR and recruitment process automation
HR and recruitment process automation uses AI agents to run the repetitive parts of hiring: reading applications against the role, running structured candidate assessment, taking interview notes, and handling onboarding admin. The hiring decision stays with a person. Softblues builds these systems in production, with a human in the loop and fairness checks before it goes live.
The volume is in the screening
A single role can draw hundreds of applications, each read by hand, each assessed a little differently when the team is busy. The repetitive screening and onboarding admin eats the time that should go into candidate conversations and the decision itself. Automating the routine, with a person making the call, is what gives that time back.
What can we automate?
The repetitive parts of hiring, with a human making the decision and the reasoning kept explainable.
CV and application screening
Read every application against the role you defined, surface the strongest matches with the reasons, and give HR a ranked shortlist instead of a full inbox.
- Every application read against the role
- Strongest matches surfaced with reasons
- A ranked shortlist, not a full inbox
Structured candidate assessment
Run the same assessment for every candidate against the same criteria, so the comparison is consistent and the score is explainable.
- The same criteria for every candidate
- Consistent, comparable scoring
- A score a person can explain
Interview support and notes
Draft interview questions from the role, capture structured notes during the conversation, and write them back to your ATS so nothing is lost.
- Questions drafted from the role
- Structured notes captured live
- Written back to your ATS
Onboarding admin
Handle the repeatable first-week tasks: account requests, document collection, and the checklist, with HR kept on the exceptions.
- Account requests and document collection
- The first-week checklist handled
- HR kept on the exceptions
How we build a hiring automation
Three steps, mapped to how your team hires, with a person making the decision and fairness checks before launch.
Process Discovery
A short, paid engagement that maps how your team screens and assesses people today.
- We map your screening and assessment
- We agree the criteria and the fairness checks
- You get a fixed-price plan with the payback line
The build
Built around the ATS you already use, with a person making every hiring decision.
- Built around the ATS you already use
- A human makes every hiring decision
- Criteria explicit and scores explainable
Run it
It goes live with fairness checks and monitoring, tested against past hiring rounds before launch.
- Evals with fairness checks before launch
- Monitoring after go-live
- Money back if the proof of concept fails
Where this has worked
In productionAI candidate assessment (HR-tech platform)
A custom build that automates a 2 to 3 hour expert linguistic assessment across ten psychological dimensions, agreeing with human analysts at a high rate.
What does it cost?
Fixed price, quoted after a paid Process Discovery, with a payback line so you know when the investment returns. As a rule of thumb, a £20,000 build that saves £4,000 a month pays back in about five months.
Estimate your savingHR and recruitment automation: at a glance
- What
- AI agents that run high-volume HR screening, assessment and onboarding admin, in production, with a human making the hiring decision.
- For
- HR, Talent and People-Ops teams with high-volume manual screening, assessment or onboarding work.
- Workflows
- CV and application screening, structured candidate assessment, interview support and notes, onboarding admin.
- How
- Paid Process Discovery, fixed-price build, then evals with fairness checks, monitoring and an SLA.
- Delivery
- Production in 90 days, fixed price, money back if the proof of concept fails.
- Oversight
- A human makes the hiring decision; the system supports it and shows its reasoning.
- Proof
- A custom candidate-assessment build for an HR-tech platform, in production.
- Based in
- London-based, working with mid-market firms.
Common questions about HR automation
Will AI make hiring decisions?
No. A person makes the hiring decision. The system reads applications, runs the assessment and surfaces the reasoning, but the call to advance, reject or hire stays with your team. We design every HR build so the human is on the decision, not the machine.
How do you handle bias and fairness?
We run fairness checks during evals, testing the system against past hiring rounds and looking for scoring that drifts by anything other than the criteria you set. We keep the assessment criteria explicit and the score explainable, so a person can see why a candidate scored as they did. We are honest about the limit: no system removes bias on its own, which is one more reason a human stays on the decision.
Will this replace our recruiters?
No. It removes the repetitive screening and admin and keeps your team on judgement, candidate conversations and the final call. The work that needs a person stays with a person.
Can you connect to our ATS?
Most of them. We connect through native integrations or a custom one, with proper authentication and audit logging, so shortlists, notes and assessments write back to the system your team already uses.
How long until it is live?
Production in 90 days is the standard. Discovery is short, typically one to two weeks; the build timeline is fixed in the discovery plan.
How do you keep candidate data secure?
Builds run with role-based access, audit logging and data handling built around ISO 27001 principles, on the platform you already trust. We are a registered partner across Anthropic, Google Cloud and Microsoft, so we meet you on your stack.
Scope your hiring automation
Start with a paid Process Discovery. We map how your team actually screens and assesses people, then come back with a fixed-price build, fairness checks, and a human making the call.