Requisition intake
Classified, framework-checked, and confirmed genuinely fillable before any effort is spent sourcing against it.
Every AI recruiting platform on the market is racing on speed and data breadth. We built the one that checks compliance twice — once at screening, again live on the day — because a clearance from three weeks ago is history, not proof. Faster fills, lower cost-per-placement, fewer compliance write-offs. Designed initially around healthcare, with automotive and construction sector briefs built on the same control pattern — structured to extend through customer-specific discovery, build and testing wherever a mistake could cost the contract.
Better signal. Stronger shortlists. A visible route from authorised records and evidence-led match reasons to accountable human sign-off.
SOS Global Recruitment. AI systems built for better hiring. Better signal. Stronger shortlists. Start with the requirement. Work from authorised records. See the evidence behind every proposed match. Surface the gaps before they travel. Keep a named recruiter accountable, and check the agreed evidence again before placement. Move faster without losing control. SOS Global Recruitment. Recruitment decisions you can explain.
SOS Global Recruitment is designed for UK recruitment agencies that need more than faster candidate matching. The platform connects requirement intake, authorised candidate records, explainable shortlisting, current compliance evidence and named human approval in one accountable recruitment workflow.
For buyers comparing an AI-based recruitment platform with conventional recruitment software, the practical difference is evidence. A proposed match should show why the candidate fits, what remains unresolved and who approved progression. In regulated staffing, the same workflow must also return to placement-critical evidence before the start date.
Not a hypothetical comparison — researched against the AI recruiting platforms actually in market today, from enterprise talent-intelligence tools to healthcare-staffing-specific software. We don’t chase volume, and we don’t sell a self-serve AI tool dressed up as a platform — we take on the agencies we can actually do this properly for, and we build the compliance architecture ourselves, on your behalf.
| What’s being compared | The category default | SOS Global Recruitment |
|---|---|---|
| Data & sourcing | Competes on the size of a scraped or third-party profile database — often over a billion profiles. | Zero third-party data. Every candidate traced to your own consented CRM — nothing else. |
| Compliance timing | Compliance checked once, at the point of screening, and trusted from there — or refreshed on a periodic renewal cycle at best. | Compliance checked twice — once at screening, again live on the actual day of placement. |
| Human oversight | Human oversight framed as optional once automation increases. | A named human signs off before anything reaches a client, in every tier, including the most automated. |
| The pitch | “Hire faster” as the entire pitch — a race on speed and volume alone. | “Nothing is placed without proof it’s safe to place” — the pitch is trust, and speed comes with it. |
| Sector reach | Generic across every sector, or locked to a single vertical with no real path to extend. | Same accountable standard, adapted through sector-specific discovery, build and testing. |
| Delivery model | Marketed as a self-serve AI tool — you configure it and hope it’s compliant. | Built and run by our own specialist team on your behalf — never a black box you’re left to configure alone. |
| Who gets onboarded | Onboards any agency that can pay — volume over fit. | Selective by design — we only take on agencies we can actually hold to this standard. |
Classified, framework-checked, and confirmed genuinely fillable before any effort is spent sourcing against it.
Consented-CRM candidates only. Provenance checked on every record before it advances.
Evidenced depth and recency, matched to the acuity the role actually demands — not keyword-matched.
Right to work, registration, background checks, training currency, references — every item checked individually. One gap fails the placement, regardless of urgency.
Ranked shortlist with a plain-English reason for every candidate. A named human signs off before anything moves further.
Terms confirmed, contract executed — then compliance is re-verified live, on the day, before the placement is confirmed.
Verified once when a candidate is screened, verified again — live, against the current authoritative source — on the actual day the placement starts. A stale clearance never carries. Full detail on how the dual-checkpoint model works
No LinkedIn. No scraping. No third-party enrichment. Structurally blocked, not policy.
Even our most automated tier requires a named human’s sign-off before anything reaches a client.
Separation of duties across sourcing, screening, compliance, challenge and approval, with accountable human authority. The proprietary orchestration, challenge rules and control thresholds are not exposed publicly.
Not just a long checklist — checks proven correct against live, dated regulatory sources, re-verified as rules change.
Self-service profile, proactive compliance prompts, and skills-gap course recommendations tied to real, evidenced demand.
Designed initially around healthcare & medical, with automotive and construction discovery briefs applying the same public control pattern. Every sector extension still requires its sources, permissions, controls and exception routes to be confirmed, built and tested for the customer environment.
The dual-checkpoint pipeline, the consented-CRM-only sourcing, and the human sign-off at every tier — all identical everywhere. What changes per sector is exactly which compliance items get checked at screening and re-verified live on placement day.
The initial sector design: professional registration, background-check status and mandatory-training currency treated as role-specific evidence categories, subject to agreed sources, permissions and customer testing.
ExploreA discovery brief covering driving entitlement, trade accreditation and tester-registration evidence, with exact sources and refresh points agreed and tested for the customer.
ExploreA discovery brief covering card level, plant certification, CIS and right-to-work evidence, with exact sources, permissions and placement checkpoints agreed and tested for the customer.
ExploreConfiguring next on the same standard — right to work, security clearance tiers and technical reference verification for contract and permanent technical hires.
Ask about early accessNo. Proposed connections, source permissions and operating controls must be confirmed during technical discovery.
The second checkpoint creates an explicit moment to revisit the items agreed as critical before a placement starts.
The public proposition keeps progression and exception decisions with a named, authorised person.
The journey is shared, while role-specific evidence, sources and refresh points are agreed for the client’s context.
SOS is presented as an evidence-led recruitment workflow rather than a generic ATS replacement. The exact relationship with an agency’s current CRM, ATS and authorised data sources is confirmed during discovery.
The public distinction is the connection between authorised candidate records, explainable matching, separate compliance evidence, a second placement-day review and named human approval.
Qualified agencies can request a sector-specific discussion and demonstration. Detailed architecture and commercial terms are shared through the authorised NDA route.
We’re glad to walk through the platform live, including a sector-specific demo, once an NDA is in place.
Compare evidence-led recruitment automation with conventional feature-led platforms.
See the workflow for healthcare staffing, locum recruitment and placement-day checks.
Review right-to-work, DBS and professional-registration evidence requirements.
Use the source-led UK framework to define legal, sector, client and recommended controls.
Open the UK recruitment compliance checklist ↗Follow synthetic candidate evidence through an exception, human review and placement sign-off.
Run the recruitment workflow demonstration ↗Apply the control model to your roles, systems, approved sources and decision owners.
Book a tailored demonstration ↗Configure evidence-led automation, bounded agentic workflows, exceptions and human authority around a defined business process.
Explore AI systems and business automation ↗Connect application, interview, verification and onboarding identity with proportionate fraud controls and review.
Use the candidate identity checklist ↗Apply identity, permissions, monitoring, intervention, revocation and audit to AI agents.
Use the governance framework ↗