01
CHURN PREDICTION
Models that predict which customers will switch. Touches retention pricing, vulnerability, fairness and the Consumer Duty crosswalk where applicable.
FOR GB ENERGY SUPPLIERS
GB energy retailers are deploying AI into customer journeys, vulnerability detection, debt management, dynamic tariffs and grid forecasting. Each use case creates a regulator-facing assurance question. Probari turns those questions into a live evidence trail — one tenant, every use case, every framework, one source of truth.
FOR HEADS OF AI · CHIEF RISK OFFICERS · DPOs · COMPLIANCE
THE PROBLEM
A GB energy retailer in 2026 is carrying a stack of obligations that did not exist five years ago. Ofgem's Consumer Standards regime sets explicit conduct obligations on automated decisioning. The EU AI Act applies to systems that touch EU citizens or markets. UK GDPR covers any model trained on customer data. ISO 42001 is becoming a board expectation.
Most retailers have an AI register on a spreadsheet, an AI Impact Assessment (AIIA) template in a Word document, and a control matrix nobody can find. Probari brings all three onto one platform with a sign-off chain, a citation trail and a live signals feed. The work happens once and stays current.
WHERE AI IS LANDING
01
Models that predict which customers will switch. Touches retention pricing, vulnerability, fairness and the Consumer Duty crosswalk where applicable.
02
Affordability scoring and repayment-plan recommendation. High vulnerability sensitivity, direct Consumer Standards exposure and tight lawful-basis requirements.
03
Time-of-use and personalised tariff recommendations. Touches transparency obligations, smart-meter data lawful basis and fair-pricing principles.
04
Models feeding wholesale procurement and balancing positions. NESO Grid Code touchpoints, operational resilience under NIS2.
05
AI flagging customers in financial or health-related vulnerability. Highest regulator-attention category; demands airtight explainability and review.
06
Generative customer-service and field-engineer copilots. Risks around inaccurate output, prompt logs and vendor-model passthrough — all assessable in Probari.
THE FRAMEWORK STACK
01
Lawful basis, data minimisation, special-category data, automated decisioning rights, retention.
02
Risk classification, prohibited practices, high-risk obligations, GPAI passthrough — applied where in-scope.
03
AI management system controls — policy, governance, lifecycle, supplier management, evaluation.
04
Domestic and non-domestic supply standards covering fair treatment, vulnerability, complaints and clarity.
05
Operational obligations where AI feeds balancing, forecasting or system-operator interactions.
06
Operational resilience for essential services. Applies to AI components in critical operational paths.
07
Non-discrimination obligations relevant to scoring, pricing and decisioning models.
08
Where retail energy products carry Consumer Duty-adjacent obligations, the crosswalk is mapped.
HOW PROBARI DELIVERS
The GB Energy tenant ships pre-configured with the eight-framework stack, the Ofgem-aligned AI Impact Assessment (AIIA) template and a control library that maps every question to evidence. The Northbrae Energy reference deployment is live in the demo environment.
DESIGN
Every new AI use case enters through the Probari intake wizard. Risk tier is automatically graded against the EU AI Act schedule and Ofgem-relevant categories at the point of capture.
ASSESS
Forty-seven AIIA questions across nine sections, drafted with Perplexity Sonar assistance — the only AI provider Probari uses, chosen because every answer comes with the source — reviewed by the use-case owner and signed off by the second line. Every answer carries a citation, an author and a timestamp.
ASSURE
Controls mapped across all eight frameworks. Evidence pack exports as a single bundle for board, regulator query, internal audit or third-party assurance.
OPERATE
Operational signals tracked against the assurance baseline. Drift in input distribution, fairness metrics or customer-outcome indicators opens a reassessment ticket — not a surprise audit.
WHO IT IS FOR
FOR HEADS OF AI
Ship faster, prove it.
Probari builds the assurance evidence as you build the system. Deployments stop stalling at governance review.
FOR CHIEF RISK OFFICERS
Evidence on demand.
Every use case carries a live AI Impact Assessment (AIIA), a control map and a signed sign-off chain. Auditable in minutes; defensible in front of Ofgem, the ICO or the board.
FOR DATA PROTECTION OFFICERS
DPIA and AIIA, joined up.
The intake captures lawful basis, data classes and ROPA-relevant fields once, and feeds them into both the DPIA and the AIIA. The parallel paperwork is gone.
THE PILOT
WEEK 01
GB Energy tenant configured for your firm. Admin, viewer and DPO accounts provisioned. The Northbrae reference deployment loaded as a working template.
WEEKS 02–04
Two real AI use cases — one customer-facing, one operational — taken through intake, AIIA, control mapping and sign-off with your team.
WEEK 05
Operational signals wired up against the baseline. Drift triggers configured. Reassessment queue and review cadence set with the second line.
WEEK 06
Exportable evidence bundle covering both use cases across the eight-framework stack. Board-ready summary and Ofgem-ready trail walked through with the CRO.
Pilot pricing is available on application. The pilot tenant is yours to keep — there is no rebuild between pilot and production.
Probari is founded and designed by Ian Curran. If you are a Head of AI, Chief Risk Officer, or DPO at a GB energy supplier, get in touch — we will book the call within five working days and walk you through the live Northbrae reference deployment.
Request a briefingOr write directly to info@probari.uk