Illustrative data
Azure AI Foundry

Where the Authority's models are built and proven

Model choice per use case, evaluation against VRA's own questions, and a registry so nothing reaches a plant or a board pack without evidence.

Concept · needs a tenant
4
Model profiles in use
Chosen per task, not per fashion
5
Agents registered
Each with an owner
135
Evaluation questions
Illustrative question sets
0
Agents in production
Deliberate: pilot before scale

Model profiles

Right model for the task — the expensive one is not the default

ProfileUse caseEvaluationCost
Reasoning model (large)
Reserved for executive drafting
Board narrative, cross-domain synthesis92% agreementHigh
General chat model
Default for Copilot Studio agents
Document Q&A, summarisation89% agreementMedium
Small fast model
Approval routing and document triage
Classification, routing, extraction91% on tagged setLow
Anomaly model (custom)
Trained on labelled failure history
Sensor series on rotating equipment0.87 F1 (illustrative)Compute

Evaluation pipeline

What stands between an idea and a pilot

  1. 01
    Ground

    Register the sources an agent may use: contracts, manuals, Fabric gold tables, published policy.

  2. 02
    Evaluate

    A signed-off question set per agent, scored on every change before anything is released.

  3. 03
    Guardrail

    Content safety, data-loss prevention, prohibited actions and a named human for every escalation.

  4. 04
    Register

    Model, prompt, grounding and owner recorded so production is never a mystery.

  5. 05
    Pilot

    One directorate, a measured outcome, a review date — then decide on expansion.

Agent registry

Every agent, its grounding, its guardrails and how it scored

AgentOwnerEvaluationStatus
Board Pack Composer
Drafts only; no external send; every figure linked to lineage
Office of the Chief Executive
88% of 24
Pilot candidate
Procurement Threshold Advisor
Cites clause; escalates beyond threshold; no award decisions
Procurement
94% of 31
Pilot candidate
Fleet Condition Explainer
Advisory only; no write path to OT; flags low confidence
Technical Services
81% of 40
Evaluation
Receivables Analyst
Read-only; customer data minimised; no dunning without review
Finance
86% of 22
Evaluation
Hydrology Briefing Agent
Cites data cut-off; no spill decisions
Water Resources & RE
72% of 18
Design

What a pilot needs before it starts

  • An Azure landing zone with private networking and data residency agreed with the Authority.
  • A named business owner per agent, with authority to withdraw it.
  • Evaluation question sets written by the directorate, not by the technology team.
  • A responsible-AI review covering bias, safety and human escalation.
  • A written position on what the agent may never do — award, approve, instruct, or operate.

The honest position on agentic tooling

What to tell a board

Multi-step agents that assemble a board pack or reconcile a subsidiary return are the most compelling part of this story — and the least proven in a regulated utility context. The recommendation is to run them in evaluation alongside a human doing the same task, measure the difference on quality and time, and publish the result. If the evidence is not there, the agent does not ship.

Recommended sequence
Copilot for documents → one Copilot Studio agent per directorate → Fabric as the single number source → only then multi-step agents.