Jigsaw TA Allocation AI helps councils, housing associations, insurers and emergency accommodation teams produce officer-ready shortlists in minutes — with transparent scoring, risk flags, cost visibility and a defensible audit trail.
Built for officers, not to replace officers.
Reduce time-to-shortlist for homelessness duty placements while preserving statutory rigour and audit trails.
Match residents to suitable decant accommodation respecting tenancy continuity, accessibility and school anchors.
Coordinate phased moves with contractor schedules and accommodation availability windows.
Place households after fire, flood or escape-of-water claims with cost visibility and provider compliance tracking.
Every property is scored against the household using nine weighted criteria. No black boxes — the breakdown is visible.
Officers always approve, reject, request review or escalate. AI never auto-allocates.
Every recommendation, override and decision is logged with reason, user, role and timestamp.
Confidential addresses, accessibility, affordability and statutory limits surface as clear, calm warnings.
See weekly cost, variance vs budget cap and placement-type breakdown across your portfolio.
A procurement pack covers DPIA, governance, RBAC, retention and pilot structure out of the box.
Bedroom need, max occupancy, accessibility, excluded boroughs, availability, compliance status and budget cap.
Nine criteria including bedroom suitability, location, availability, affordability, accessibility, compliance, provider reliability, continuity and risk.
Every recommendation comes with reasons, warnings, missing-data notes and an officer review summary.
Jigsaw TA Allocation AI (also called Jigsaw HousingMatch AI) is an officer-facing decision-support platform for temporary accommodation allocation, emergency decant matching and planned maintenance relocation. It is owned by Jigsaw Conferences Ltd, a UK B2B venue finding and emergency accommodation specialist. The platform recommends suitable temporary accommodation, explains the reasoning, flags risk and produces officer-ready summaries. Housing officers remain responsible for the final decision.
No. The platform is decision-support only. It recommends, scores, explains and flags risk. Authorised housing officers always make the final allocation decision. Every recommendation and every officer action is logged to an audit trail. The system is designed to support compliance with UK GDPR Article 22 expectations around solely automated decisions affecting individuals.
A three-layer engine. First, hard rule filters exclude any property that fails non-negotiable requirements (bedroom need, accessibility, excluded boroughs, availability, compliance, budget). Second, remaining properties are scored 0–100 using nine weighted criteria including bedroom suitability, location, availability urgency, affordability, accessibility, compliance, provider reliability, school/medical continuity and risk reduction. Third, a plain-English explanation is produced for every recommendation.
The platform is designed for UK GDPR-aligned processing. Local authorities and housing associations remain the Controller; Jigsaw acts as Processor where processing resident data on documented instructions. The platform supports DPIA documentation, role-based access, audit logging, data minimisation and retention controls. It is designed to support ISO-aligned security controls. No certifications are claimed unless evidenced.
Local authority homelessness and TA teams, housing associations running decant programmes, contractors managing planned maintenance relocation, insurers placing households after fire or flood damage, and emergency accommodation teams supporting cladding remediation and large-scale resident moves.
No. The demo uses synthetic, fabricated data only. No real personal data, supplier contact details or resident records appear anywhere in the demo platform. Production deployments would only process real data after a DPIA is signed off by the Controller and an appropriate processing agreement is in place.
Open the officer console, run an AI shortlist, review the explanation and approve a recommendation — every action logged to the audit trail.