PULVINIR Energy · Compliance Intelligence Platform

AI regulatory compliance for licensed UK energy operators.

PULVINIR Energy produces board-ready regulatory exposure assessments for distribution, transmission, generation, and supply licensees. Deterministic rules engines for the figures. AI-generated narrative for the reasoning. Weeks, not the 4 to 6 months a consultancy engagement takes.

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Regulatory coverage
·
Electricity Act 1989
·
NCSC CAF 4.0
·
NIS Regulations 2018
·
RIIO-ED2

What it produces

One branded proposal document. Four components.

Every engagement produces a single board-ready document with four sections, structured for director-level attestation and direct use in regulatory engagement.

01 · Deterministic

Ofgem penalty exposure model

Exposure bands calibrated against matched Ofgem enforcement precedents with multipliers for consumer detriment, cooperation posture, and contravention duration.

02 · Deterministic

Operational downtime cost estimate

Cost modelling grounded in the Ofgem RIIO-ED2 Value of Lost Load framework applied to declared outage parameters.

03 · Deterministic

CAF 4.0 gap analysis and roadmap

Maturity scoring across the NCSC CAF 4.0 contributing outcomes with a prioritised remediation roadmap sequenced by regulatory materiality.

04 · Generative

AI regulatory narrative

Commentary grounded in cited regulatory sources. Every sentence tagged Verified, Inferred, or Assumed so confidence is visible on the page.

How it works

Three layers. Each independently auditable.

A versioned regulatory corpus feeds two separate systems: deterministic rules engines that produce the figures, and AI that generates the narrative. The two outputs are combined into a single document at render time.

Layer 1

Knowledge Engine

Automated ingestion of Ofgem enforcement cases, NCSC CAF 4.0 framework text, and statutory instruments into a searchable, versioned, citable corpus. Corpus version is disclosed in every document.

Layer 2

Rules engines

Three independent deterministic models produce penalty bands, downtime costs, and CAF maturity scores. No AI involvement in the figures. Reproducible. Every number traceable to a cited source.

Layer 3

AI narrative

Multi-tier LLM orchestration generates regulatory commentary grounded in retrieved source material. Every sentence tagged V I A.

Numbers and narrative are produced by independent systems. The figures audit without reference to the AI. The AI output can be read with full transparency about what is sourced, what is inferred, and what is contextual.

Fit

Who this is for. Who it is not.

Suitable for

Licensed UK energy network operators: distribution, transmission, generation, supply.

Operators under active Ofgem investigation or enforcement correspondence.

Compliance functions preparing a documented CAF 4.0 baseline before formal assessment.

Boards wanting a costed, prioritised remediation roadmap ahead of a price control cycle.

Not a substitute for

A formal CAF 4.0 assessment submissible to Ofgem.

Independent legal advice on licence condition compliance.

Technical validation of cyber security control effectiveness.

Platform
PULVINIR Energy is one vertical within the PULVINIR platform.

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Contact

Under investigation? Let’s talk this week.

Tell us about the situation. We’ll reply within 48 hours with a call invite. Conversation is confidential under mutual NDA if you want it to be.

Energy