A complete applicant tracking system - a branded careers site, configurable pipelines, knockout screening, GDPR-safe AI scoring, structured interview scorecards, offer and counter-offer negotiation, references and a talent pool. And the moment you hire, the candidate becomes an employee record in the same platform, ready for onboarding, training and the rota. No separate ATS, no inbox, no re-keying.
An Indeed inbox filling up faster than anyone opens it. A trial ATS nobody finished setting up. A candidate spreadsheet built by the hiring manager that breaks on the third edit. Unanswered phone calls and voicemails to candidates who've already accepted elsewhere. Each costs strong candidates lost to a slower process, an Equality Act challenge nobody can defend, a re-keying step when the hire becomes an employee. Each disappears when applicant tracking becomes one workflow into the same employee record you train, schedule and clock on.
Cost:Good candidates email a CV that nobody opens for three days, and there's no record of who's at what stage or whether anyone reached out before the candidate moved on.
Fixed:A configurable pipeline per job with a drag-and-drop board, every candidate, answer, note and email on one timeline, and a branded careers site that captures applications straight into the right stage - not an inbox.
Cost:Two systems, two logins, and a new starter typed twice - with the start date and position lost in the gap between recruiting them and employing them.
Fixed:The ATS is the same platform as HR. When a candidate is hired they become an employee record automatically - name, contact, the start date from the accepted offer and the position from the advert - ready to flow into onboarding, training and the rota.
Cost:Days lost trying to reach the right people while the market hires them, and the candidates you eventually shortlist are the ones who happened to be still available - not the ones you actually wanted.
Fixed:One-click in-app and email outreach with templates, automatic reminders to the recruiter when a candidate hasn't been contacted within the SLA you set, and a pipeline status that surfaces candidates going cold before they go silent.
Cost:Hours of screening for right-to-work, availability or a basic requirement that a single question would have settled - and the strong candidates lost in the noise.
Fixed:Knockout questions filter at the point of application - fail a must-have and the applicant is screened out before they reach the pipeline - and GDPR-safe AI scoring ranks the rest against the role so you receive a shortlist, not a slush pile.
Cost:Days lost to "let me check and come back to you", a great candidate accepting elsewhere, and no record of what was actually agreed.
Fixed:Send the offer as a tracked document with a deadline; the candidate accepts, declines or submits a structured counter on salary, start date or hours; the manager accepts, revises or declines - every round on the record, capped so it can't run forever.
Cost:A hire delayed for weeks waiting on a referee, or made with no reference at all because it felt like someone is late.
Fixed:Send a structured reference questionnaire by secure link, with automatic reminders and an audit trail - and a manual-entry fallback for referees who will only do it by phone.
Cost:The agency fee paid again, the pipeline rebuilt from zero, and the silver-medalled candidate from the last time never contacted because nobody kept them.
Fixed:A talent pool keeps strong candidates with time-limited GDPR consent, so the next vacancy starts with a warm shortlist and a one-click invite to apply - not another advert spend.
Cost:A subject-access request you can't answer, a retention policy nobody applies, and interview questions that stray into Equality Act risk.
Fixed:Candidate consent and retention are tracked with automatic redaction, every right-to-erase and data export is built in. AI scoring is anonymised and AI-generated questions are constrained to be non-discriminatory by design.
Advertise on a branded careers site, capture applications through a wizard you configure, screen with knockout questions and GDPR-safe AI scoring, interview with structured scorecards, negotiate the offer, take references, and keep the runners-up in a talent pool. Then the hire becomes an employee record in the same system - ready for onboarding, training and the rota. A standalone ATS makes you hire into a silo and re-key the result; this hires into the platform you already run.
Publish to your branded careers site with a configured application wizard and knockout questions; share the job link anywhere.
Knockout questions filter at intake; GDPR-safe AI scoring ranks the rest so you review a shortlist, not a slush pile.
Schedule interviews, score on weighted scorecards, then send the offer and handle any counter on the record.
Acceptance converts the candidate into an HR employee record - start date, position, referral bonus - ready for onboarding.
Your jobs and brand on a public site with a configurable application wizard.
Per-job stages, colours and rules on a drag-and-drop kanban board.
Auto-screen at intake, with email-hash detection of conflicting re-applications.
Anonymised, advisory candidate scoring against the role's requirements.
AI drafts the advert and a structured, Equality-Act-safe interview scorecard.
Extract text and key fields from PDF and Word CVs on demand.
Weighted criteria, 1-5 panel scoring and side-by-side comparison.
Template offer PDFs, e-acceptance and capped salary/start/hours negotiation.
Secure questionnaire links, automatic reminders, expiry and manual fallback.
Consented re-engagement pool and an employee referral bonus programme.
Email triggers on stage, rejection and counter with merge fields and delays; SMS on stage changes.
Multi-round cycles with budget, fill rate and cost-per-hire tracking.
Skim the themes on the left, or scroll the full set. Each capability surfaces the specific frustration it removes and a real-world use case.
Publish vacancies to a careers site that's part of your platform, not a third-party board - your branding, your colours, an intro you control, and every published job listed and filterable by location. Each job has its own shareable link to put on social, in a job ad or on the wall, and applications land straight in the pipeline at the right stage. No external ATS, no careers-site vendor, no copy-pasting applicants out of an inbox.
Build the application form per job: email-verified applicants, your own questions (text, choice, yes/no, date, number, file upload), CV and cover-letter upload, interview availability and referee details, with GDPR consent captured at submission and the source recorded. Ask exactly what the role needs and nothing it doesn't - the candidate experience is yours, not a generic form.
Give the AI the title, type, hours and salary and it drafts the job description, requirements and benefits for you to edit. Ask it for a scorecard and it generates weighted interview criteria and a set of structured interview questions - all constrained to be job-related and non-discriminatory under the Equality Act 2010, so the starting point is fair as well as fast.
Pull the text and the key fields - name, contact, work history, education, skills - out of a PDF or Word CV on demand, verbatim, so the detail is readable in the platform without opening every attachment. It accelerates review; it doesn't rewrite the candidate's CV.
Mark any application question a knockout with the answer the role requires. Fail a must-have - no right to work, can't do the hours, missing a mandatory ticket - and the applicant is screened out at submission, with a clear message and the option to look at other roles, before they ever reach the pipeline. The event is logged against a hash of their email, so an applicant who re-applies with conflicting answers is flagged rather than slipping through. Volume hiring stops being a CV-by-CV slog.
With AI scoring enabled, each application is scored against the role's requirements - but the candidate is anonymised first: names, contact details, dates of birth and other identifiers are stripped before anything is sent for analysis. The score is advisory and a human stays in the loop by design, in line with UK GDPR Article 22 - it ranks the pile so you review the strongest first, it does not auto-reject anyone. If the AI is unavailable the application is never blocked.
Define weighted scoring criteria per job, have each interviewer score one to five against every criterion with notes, and the platform produces a weighted average and a side-by-side comparison of your candidates. Hiring decisions are made on a consistent, defensible record instead of "I had a good feeling about the second one".
Every job has its own pipeline - name the stages, colour them, order them, mark which are terminal and which auto-reject - and move candidates on a drag-and-drop board with bulk actions for the high-volume steps. Time in each stage is tracked, so the pipeline reflects how you actually hire, not a fixed template, and you can see where candidates are sitting too long.
Candidate and referee personal data is encrypted at rest and decrypted only where it's needed, scoped strictly to your business. Application questions can be flagged equality-safe, AI-generated content is constrained against discriminatory language, and AI scoring is anonymised - fairness and data protection are built into the workflow, not a policy document next to it.
Generate an offer from a template with merge fields, route it for approval if required, and send it as a tracked document with a deadline and a generated PDF. The candidate accepts, declines with a reason, or - if you allow it on that job - submits a structured counter on salary, start date or hours with a short reason. The manager accepts it, declines it, or revises and re-sends, and every round is kept with the original terms snapshotted for the diff. It's capped per offer so a negotiation can't run forever, and the right people are notified at each step. The last mile of hiring stops happening in an untracked email thread.
Build email templates triggered by the moves that matter - a stage transition, a rejection, a counter received - with merge fields, an optional delay (so a rejection isn't instant and cold) and per-job or business-wide scope. SMS notifications fire on stage changes with the same merge fields. Candidates are kept informed and managers are notified without anyone remembering to send anything.
Request references by secure link with a structured questionnaire; reminders go out automatically up to a set number, the request expires on a schedule, and completion is tracked - with a manual-entry fallback for the referee who'll only do it by phone. The hire isn't held up because chasing a referee fell off someone's list.
Behind the scenes the platform expires stale offers, sends reference reminders, and flags talent-pool consent that's about to lapse - so the pipeline stays clean and compliant without anyone maintaining it by hand.
Acceptance isn't the end of a silo, it's the start of employment. When a candidate is hired they're converted into an HR employee record carrying their name and contact details, the start date from the accepted offer and the position from the advert - and if they came through the referral programme, that referral is marked hired and the bonus tracked. The person you recruited and the person you employ are one record, entered once.
Because recruitment, HR, Onboarding, Training and Employee Scheduling are one platform, the new employee record the hire creates is the same record those modules work from - so the intent is a continuous path from offer accepted to onboarding journey, role-required training and a place on the rota, rather than a fresh re-entry into four more systems. One hire, one employee, one platform end to end.
A vacancy can be linked to a job position in your org structure and to the zone it's based in, so a job advert isn't a free-floating post - it's tied to the actual role and location you're hiring for, scoped like everything else in the platform.
A recruitment widget on the main operations dashboard shows new applications and the active pipeline beside Checklists, Training, Incidents and the rest. Recruitment also surfaces in the AI manager's daily brief, with open positions, pending offers, application velocity and time-to-hire, so leadership gets the hiring pulse without opening the module.
Run a vacancy as rounds - publish, close, re-publish - each a separate cycle with its own budget (advertising, agency fees, other), positions to fill and positions filled, and an automatic cost-per-hire and fill rate. Carry strong candidates over to the next round, compare round against round, and finally answer "what did that hire actually cost us" with a number, not a shrug.
The pipeline funnel with conversion between stages, average time-to-hire, source effectiveness (which channels actually produce hires, not just applications), offer acceptance rate, and the stage bottlenecks where candidates sit longest - filterable by job, round and date range, so you manage the process by evidence.
Every event on a candidate - applied, moved, scored, AI-scored, emailed, email opened, interview scheduled, reference requested, offer sent, countered, converted - is logged with who and when. When a hiring decision is challenged or audited, the answer is a timeline, not a memory.
Consent is captured at application, a retention period is set and tracked, and the platform handles right-to-erasure and a subject-access data export for a candidate on request - with the talent pool holding rejected candidates only for as long as their consent allows and reminding before it lapses. Candidate data protection is operational, not aspirational.
Keep the strong candidate you couldn't hire this time in a talent pool with their consent, tagged and noted, and invite them to the next relevant role in a click instead of paying to advertise it again. And run an employee referral programme - staff refer people they rate, the referral is tracked through to hire, and the bonus is recorded and marked paid. Your next hire is often someone you already met or someone your team already knows.
The same person applying twice - to the same role or across roles - is flagged as a likely duplicate so your pipeline reflects real candidates, not inflated counts, and a reviewer can resolve it deliberately rather than discovering it at offer stage.
Answers from our UK-based onboarding team. Need something not covered? Book a walkthrough →