What is generative AI?

Generative AI is a class of AI built on large language models that synthesise text, code, images, audio or structured data from natural-language prompts. Enterprise deployments run on foundation models such as Azure OpenAI, OpenAI, Anthropic Claude or Google Gemini, integrated through retrieval-augmented generation against your data estate and identity-aware APIs into your operational systems.

Littlefish Group scopes, builds and operates generative AI deployments to match your data sovereignty requirements, existing cloud estate and operational structure, covering model and platform selection, retrieval-augmented generation engineering, agent and chatbot development and responsible AI controls. As a Microsoft Solutions Partner with the Specialist AI Platform on Azure designation, an AWS Managed Services Partner and a Google Cloud Platform partner, our consultants and engineers deliver generative AI across each major cloud platform.

Our generative AI solutions

Generative AI consultancy

Use case scoping, model and platform selection, governance design and reference architecture aligned to your production environment, with target metrics defined per use case. Discovery assesses your data estate, regulatory obligations and operational ownership, producing the prioritised roadmap and evaluation framework that the build phase delivers against.

Generative AI development services

Our development team builds retrieval-augmented generation pipelines against your data foundations , fine-tunes foundation models, orchestrates prompt and tool-call logic and integrates output through identity-aware APIs into your operational systems. Evaluation harnesses, regression tests and human review checkpoints are instrumented at build time so model behaviour remains observable through production operation.

AI agents and agentic AI

AI agents apply where the model needs to execute actions against your systems via tool calls, not only generate text. We build agents on Microsoft Copilot Studio and Azure AI Foundry, design multi-agent orchestration and compose agents with intelligent automation workflows. Tool permissions, action logging and human-in-the-loop checkpoints are scoped during discovery.

AI chatbots and conversational AI

Chatbot and conversational AI development spans customer-facing automation, employee assistants and voice interaction, integrated through identity-aware APIs into your CRM, ticketing and knowledge base. Accuracy, hallucination rate and escalation behaviour are benchmarked against defined acceptance thresholds in pre-production, with platform selection across Microsoft Copilot, Azure AI Foundry and OpenAI driven by data residency and integration scope.

Production gaps, governance debt and platform commitment in generative AI

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    Pilot behaviour that doesn’t generalise to production

    Pilots run on curated test sets and controlled prompts, but hallucination rates, retrieval recall and inference latency diverge once the model is exposed to production traffic, out-of-distribution inputs and concurrent load. Our generative AI consultancy scopes use cases against production-representative data and configures evaluation harnesses before development.

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    Governance retrofitted after deployment

    Governance retrofitted after deployment goes live cannot reconstruct the audit logs, evaluation telemetry or identity-aligned access controls that should have been instrumented at deployment. Our consultancy designs audit logging, evaluation harnesses, identity-aligned access controls and human oversight into the architecture during discovery.

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    Platform commitments before use case scoping

    Model providers, cloud platforms and vendor partnerships chosen before the use case is scoped fix the deployment’s pricing model, context window, residency and integration patterns regardless of what the use case requires. Our consultancy defines the use case in discovery and lets it drive model, platform and vendor selection.

How we do things differently

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Accountable through to production

Every engagement runs to defined outcomes, with progress measured against the success criteria agreed at discovery. We take responsibility for getting the work into production, not just for advising on what should happen.

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Independent across Microsoft, AWS and Google Cloud

Platform and model decisions are made against your use case, existing estate and team skills, with no preference for any single vendor.

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Engineering and managed service in one team

Our consultants, engineers and service desk operate as a single team. The people who design the architecture are connected to the people who build it and the people who run it once it is live.

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Data foundations and governance in-house

Our data foundations and data governance practices sit alongside generative AI in our wider data and AI capability, delivering the data layer that production AI runs on.

What are customers say

  • “Littlefish Group helped us understand where we could drive efficiencies as we scaled. It genuinely felt like they were in it with us – they wanted us to win. The team members on the service desk are second to none. Our NPS scores show that. I couldn’t ask for more supportive people than the team at Littlefish Group.”
    Karen Copley
    Head of IT Service Delivery
  • Operationally, Littlefish Group have been an excellent partner. From a collaboration perspective, we share the same goals. There’s never a time when they’re not contactable. Littlefish Group collaboratively work with our other providers, they’re always happy to take on other responsibilities, enhancing user experience via first time fixes and shift left responsibilities; their activities have been second to none.
    Huw Stephens
    CIO and Head of Treasury Business Solutions, HM Treasury
  • Through a highly integrated approach, Littlefish Group has brought together the core service pillars that underpin NHS Supply Chain’s digital operations. These include Service Integration and Management, Modern Workplace solutions, a 24/7 Service Desk, and a dedicated Service Management Office. Together, these services enable us to deliver meaningful improvements that boost operational efficiency, enhance end-user experience, and ensure consistent, high-quality service delivery.
    Matt Wynn
    Data and Technology Executive Director, NHS Supply Chain
  • “Littlefish Group provide a dependable and professional out‑of‑hours and weekend service desk service, which is critical to maintaining continuity of our NHS services. Their team understands the demands of a 24/7 healthcare environment and responds promptly and effectively to support clinical and operational staff when it matters most. The service they deliver is reliable, well‑managed, and aligned with the high standards required to support patient care and frontline services.”
    Kev Fisher
    Assistant Director of Digital Technical Services, University Hospital of Derby and Burton Trust
  • “Since the rollout of the solution, Muiríosa continues to transform what once was a static repository of information into a dynamic tool for communication and learning. Key documents, data and systems are now consolidated across Muiriosa’s 200 locations, ensuring information is accessible to everyone and maintaining transparency across the organisation.”
    Deborah Gleeson
    Information Officer, Muiriosa
  • We are now a couple of months into our independent operation, and we’ve already begun to see a big difference; the speed of our support tickets has improved. We’re able to leverage and use a lot more of the Microsoft ecosystem.
    Jasper Hegarty-Ditton
    Delivery Director, Data and Digital Transformation, LUU
  • “This is why we partnered with Littlefish, a managed IT and cyber services provider that is nimble and understands that our diverse structure means diverse solutions. We look forward to building this partnership over the coming months and years.”
    Richard Murphy
    Chief Information Officer, National Gas
  • “Since Littlefish have been appointed, they have been consistently delivering really excellent service to our staff. We have really tough expectations and have a sliding scale approach to customer satisfaction, so as the years go on, it gets harder. I’m really pleased to report that Littlefish have consistently met this scale.”
    Rob Langley
    Chief Information Officer, Cafcass
  • “It made sense to us to go to an organisation that could offer us a range of security services… we chose Littlefish because they could provide everything we needed. In an ever-evolving landscape, there’s always more to learn and new threats emerging, so I’m confident that Littlefish can help us with that.”
    Amanda Hodge
    ICT Manager
  • “We don’t see Littlefish as an ‘at arm’s length’ organisation, but as a partnership that works closely with us and that’s really important. We’ve really had great engagement in how they wish to understand our unique business and the way we operate and we’re starting to really reap the rewards of that engagement now.”
    Nigel Hall
    Director of IT and Analytics

Talk to us about generative AI solutions

If you’re scoping a generative AI use case, moving from pilot to production, planning an agent or chatbot build or looking for managed operation of an existing deployment, we’d welcome the conversation.
Get in touch to discuss your requirements.

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