Authority Hub · Explainable AI
AI you can defend to a board.
Every recommendation is explainable. Every decision has a human.
Housing decisions affect real people. When AI enters the process — matching residents to properties, prioritising placements, forecasting supply — the model must be explainable, auditable and human-supervised. Jigsaw's Explainable Housing AI position is the public statement of how we build, deploy and govern the AI in our platforms.
What Explainable Housing AI means at Jigsaw
Explainable AI is not a marketing badge. It is an engineering discipline that requires every model output to be traceable to the inputs it saw, weighted, and the human review that signed it off. Jigsaw applies this discipline everywhere AI is involved in a housing or accommodation decision.
Our position is deliberately narrow: AI is used to accelerate professional judgement, not to replace it. The Jigsaw Suitability Framework — accessibility, family composition, safeguarding, cultural fit, community ties, health considerations — is embedded in the model. Every AI-assisted match presents both the score and the reasoning. No confirmation is fully automated: a person always signs off.
What matters here
Explainable
Every score is accompanied by the factors that produced it. No black-box outputs reach the buyer or the resident.
Bounded
The model only considers factors we have documented and defended. It does not consider proxy signals for protected characteristics.
Human-in-the-loop
No placement confirmation is fully automated. A named account manager signs every buyer-facing output.
Auditable
Every model call is logged. Inputs, weights, outputs, human review, decision — all recorded, retrievable and exportable.
Fairness-aware
Model outputs are regularly reviewed for disparate impact on protected characteristics under the Equality Act 2010.
Contestable
A resident, buyer or advocate can request the reasoning behind any AI-assisted decision. We produce it.
How AI is applied to a placement decision
- 1
Input capture
Human intake captures the buyer's requirements and the household's suitability profile. The model never invents inputs.
- 2
Model scoring
Candidate properties are scored against the suitability framework. The scoring rubric is public (see Resident Suitability hub).
- 3
Explainable output
The buyer sees the top-N shortlist plus the reasoning: which factors drove the score, which trade-offs the model made, what it excluded and why.
- 4
Human sign-off
A named account manager reviews the shortlist. Nothing goes to the buyer or the resident without a human signing off.
- 5
Audit record
Inputs, weights, outputs, review, decision and any appeal are logged. Records are exportable on request.
Related services
Sectors we serve
Frequently asked questions
Does the model consider protected characteristics?
Can a buyer opt out of AI-assisted matching?
What happens if a resident disputes an AI-assisted decision?
Which AI providers do you use?
Brief us once. We handle every detail.
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