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Merthyr AI

Public Sector AI with clarity, safety and purpose

Enable smaller government and public service organisations to adopt AI in a way that is practical, governed and genuinely useful for staff and citizens

Built for agencies that need progress without unnecessary complexity

SERVICES

Readiness

Assess governance, data, processes and capability before launching AI

Agents

 Design and prototype agents that support internal teams and citizen-facing journeys

Adoption

Turn pilots into repeatable ways of working with guardrails, measures and training

AI in public service

ABOUT

Our experts, delivering for you

AI opportunity and readiness

Discovery workshops, operating model review, risk framing, governance design, and prioritised use cases for public sector settings.

Copilot Studio Solutions

Agent design, conversation flows, knowledge grounding, escalation routes and integration of thinking for Microsoft-centred environments.

Service and process redesign

Map where AI genuinely helps staff and citizens, then redesign the end-to-end service around measurable outcomes

Adoption, training and assurance

Support teams with enablement plans, governance packs, prompts and playbooks and practical rollout support

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APPROACH

  • Responsible by default
    AI should be an enabler for better public outcomes, with governance and transparency built in from the start

  • Practical over performative

    Focus on high-value use cases such as staff support, triage, knowledge retrieval and workflow automation

  • Solutions that take you with them

    Empower your teams to learn how to run, improve and govern AI-enabled services after the initial engagement

VALUES

Every AI use case should solve a real service or operational problem
Useful
Security, policy and accountability should be visible in the delivery model
Governed
Solutions should support accessible, understandable public services
Inclusive
Success should be defined through outcomes, not novelty
Measurable
Black And White Grid

CONTACT

Let’s Work Together

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