AI-assisted Models

Responsible AI for
Property & Energy Decision Intelligence

Two complementary AI-assisted indices — one for risk, one for capacity — giving organisations a clearer, fairer basis for action.

How We Use AI - Responsibly and Transparently

xenscope uses AI-assisted modelling to help uncover patterns that would be difficult to see by looking at individual datasets in isolation.

By combining property, energy, economic, and contextual signals, our models highlight relationships and trends that support better prioritisation and planning.

The AI does not make decisions, determine eligibility, or automate outcomes.

Instead, it strengthens the analytical foundation behind our indices, helping organisations interpret complex information more clearly and consistently.

Every output is designed as decision support — transparent, explainable, and intended to sit alongside professional judgement, policy frameworks, and local knowledge.
Two Complementary AI-Assisted Models
Fuel Poverty Risk Index (FPRI)
The Fuel Poverty Risk Index identifies households where energy affordability pressure and poor housing efficiency are most likely to combine into real vulnerability. It brings together deprivation signals, property performance, and affordability context into a consistent, household-level view of risk.

Designed for decision support, it helps organisations prioritise support fairly, transparently, and with evidence.
Affluence & Capability Index (ACI)
The Affluence & Capability Index highlights households where financial resilience and property conditions make energy upgrades or improvements more achievable. It combines housing market context, property characteristics, and economic stability signals into a balanced measure of capacity to act.

Used responsibly, it supports better planning, engagement, and uptake without relying on crude wealth assumptions.

Access to the Fuel Poverty Risk Index (FPRI) is limited to public-sector organisations and Unlimited subscription tiers, reflecting the sensitive and policy-led nature of this insight.

Target homes where impact is high.

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