AI for recruitment and HR.
Screening with reasons attached, with the ATS integration scoped at the audit and the recruiter making every call.
What AI can do in recruitment and HR.
AI earns its place in hiring on the work that repeats every day: reading the overnight applications against the brief, writing up interview notes the same way for every candidate, chasing the right-to-work documents, and keeping candidates and hiring managers updated while a role is live.
Where firms like yours start.
It reads the overnight applications against the brief and names the reason beside every candidate it shortlists.
It writes up the notes against the same questions for every candidate, filed before the next call.
It checks the compliance documents against your checklist, flags what is missing and assembles the file.
It keeps candidates and hiring managers updated while a role is live, so nobody chases a reply.
It sits on the ATS you already run, with the integration scoped at the audit rather than promised.
The overnight pile cleared before the first call, and a reason recorded beside every name. It also cuts the tools you no longer need, and makes a candidate’s history quick to pull up.
The audit works out yours.
How we find where AI fits in hiring.
We open each engagement with an AI Audit and Transformation, at a fixed fee and scope agreed before it starts. It runs where the hiring happens, with the people who do it, and hands back a costed, prioritised 12 month roadmap with a named owner against every workflow. OpenKit becomes your business’s embedded AI team: the people who ran your audit stay on to deliver it. If nothing here is worth building, we say so.
The build is part of the same engagement, and what goes live is measured against the mornings the audit counted.
How we engage.
Most engagements start with the AI Audit and Transformation. What follows depends on what it surfaces: many teams keep us on as their Embedded AI Lead, and some commission a bespoke build where nothing off the shelf will fit. The AI Charter runs underneath whichever way it goes.
- AI Audit and Transformation Fixed in fee and scope: we measure where the morning goes and hand back a costed, prioritised 12 month roadmap, yours to keep.
- Embedded AI Lead We stay inside your team, build the plan into the week and train the recruiters who make every call.
- AI Charter It writes down what AI is used for in hiring, what stays with a person, and who owns each workflow.
Related work.
Both sides of one hiring platform, in production, where every match arrives with the reasoning behind it and nobody is contacted uninvited.
Chapta Replacing the CV with a conversation A candidate arrives with their own account of what they can do, and sees why they match a role before either side makes contact. 8–12 Skills drawn out in one conversation 
Chapta employer portal Showing the hiring team why a candidate matched The reasoning arrives with the match, alongside a behavioural read, and contact stays shut until both sides opt in. Explainable Every match arrives with its reasoning Secure and private, as standard.
Candidate data is the most sensitive you hold; it stays yours and never trains anyone else’s model. Private AI
ISO 27001, ISO 9001 and Cyber Essentials are certifications we hold, and we operate to UK GDPR. Screening decisions are made by people, with the reason recorded.
The questions that decide it.
What does an AI consultancy for UK recruitment and HR actually do?
OpenKit sits with your talent-acquisition or HR team, maps the workflow as it actually runs, and identifies the steps where AI lands first, usually screening triage, scheduling or onboarding admin, as the opening stage of an AI Audit and Transformation. Then we build against your ATS, your HRIS and your fairness baseline, train the team to use it inside the console they already operate, and scope the regulatory record each workflow needs, an audit trail and a bias-review log among it, at the audit rather than after the build.
Will the AI replace our recruiters?
No, and the regulators would not allow it. UK GDPR requires that human involvement in a hiring decision is active and genuine rather than a rubber-stamp, and the ICO has been clear that recruitment falls inside that regime. The point of the build is to take CV triage, scheduling and onboarding admin off the recruiter’s desk so the recruiter spends more time on the conversations that actually need a person.
How does this work with the EU AI Act?
The EU AI Act classifies recruitment, candidate selection and worker management as high-risk under Annex III point 4, which puts the conformity-assessment, bias-testing, human-oversight and continuous-monitoring duties on the deployer, the employer, rather than the vendor. The stand-alone high-risk obligations were postponed to 2 December 2027 under the EU’s Digital Omnibus package agreed in 2026, but the classification and the fact the duty sits on the employer have not changed, and the transparency duties apply sooner. We build with that evidence in place from day one, against your competency framework and ATS. UK firms are in scope where their AI outputs affect EU-based candidates or employees.
How does this work with UK GDPR and the automated-decision regime?
Hiring decisions with a legal or similarly significant effect on a candidate fall inside the UK automated-decision regime, which Section 80 of the Data (Use and Access) Act 2025 rewrote when it came into force on 5 February 2026. We build the human-review workflow so involvement is active rather than a token step, surface protected-characteristic monitoring at the cohort level, and produce the audit trail the deployer needs. The DPIA itself stays the deployer’s, drafted with your DPO.
Can we keep candidate data in the UK or EU?
Yes. We deploy on Anthropic Claude in the UK / EU region, OpenAI on Azure UK / EU, or open-weights models on a private GPU. Where the data-residency review demands it, we run inference on-prem. Candidate data does not have to leave a region you have already cleared with your DPO.
Does this integrate with our ATS or HRIS?
We build against your ATS or HRIS through its API. Greenhouse, Workable, Bullhorn, Teamtailor and Tribepad on the ATS side; Personio, BambooHR, HiBob, BreatheHR and Cezanne on the HRIS side are integration targets the audit scopes per engagement. Where a standard connector does not exist we build a custom integration, and the recruiter and HR ops team keep using the console they already know.
What about liability if the AI makes a mistake in screening?
The Equality Act 2010 makes the employer the duty-holder for direct and indirect discrimination, and the EU AI Act puts the high-risk-system duties on the deployer. Liability does not transfer to a vendor by buying a product. We build the audit trail, the bias-review log and the human-in-the-loop checkpoint that let the deployer defend the work, but the legal duty stays with you, and delivery is designed to operate under it.
How is a recruitment or HR engagement structured?
Every engagement opens with the audit stage of an AI Audit and Transformation, which is fixed scope, fixed fee and scoped up front. The build that follows puts that work live on your ATS and HRIS with the team trained on it. An Embedded AI Lead can carry the bias-review cadence and DPO-facing work afterwards, and a Bespoke Build, the Chapta pattern, is scoped against what the audit surfaces.
What does this cost for a mid-market recruitment or HR function?
The audit is fixed fee and fixed scope, agreed before kickoff, and what follows is priced after the audit against what it surfaces: the transformation build, an Embedded AI Lead on retainer, or a Bespoke Build. We share indicative figures on a discovery call, and no retainer is required to reach the audit.
What makes OpenKit different from HireVue, Eightfold, Beamery or Paradox?
The productised vendors are mostly US-built and are retrofitting EU AI Act evidence trails onto existing models. We build with the conformity-assessment evidence, the bias-review log and the human-in-the-loop checkpoint in place from the first sprint, against your ATS, your competency framework and your protected-characteristic monitoring. The audit trail belongs to you, the match logic reflects your fairness baseline, and the recruiter is the decision-maker.
Find your first workflow.
We start with a conversation, audit where AI actually pays back, and build the first automation into how your team already works. We reply within one working day.