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[ Managed IT & AI Support ]

Someone accountable once it is live

Monitoring, tuning, upgrades and a named team on an SLA — for the systems we build and the ones you already run.

[ What’s included ]

Managed IT & AI Support capabilities

AiXLConsultancy

Named engineers on an agreed SLA

Continuous evaluation against your acceptance suite catches regressions before your users report them.

  • Named engineers on an agreed SLA

  • Quality monitoring and drift alerts

  • Performance, prompt and index tuning

  • Upgrade evaluation and migration

    AiXLConsultancy

    Quality monitoring and drift alerts

    Monthly reporting on usage and cost per outcome, with tuning recommendations attached.

    • Performance, prompt and index tuning

    • Upgrade evaluation and migration

    • Usage and unit-cost reporting

    • Integration and credential health checks

      AiXLConsultancy

      Performance, prompt and index tuning

      We test new releases against your suite and migrate when the numbers justify it — not when the news cycle says so.

      • Usage and unit-cost reporting

      • Integration and credential health checks

      • Quarterly service and roadmap reviews

      • Incident response with root-cause reports

        [ What you get out of it ]

        Outcomes, not deliverables

        Quality that holds

        Continuous evaluation against your acceptance suite catches regressions before your users report them.

        Spend under control

        Monthly reporting on usage and cost per outcome, with tuning recommendations attached.

        Always on a current platform

        We test new releases against your suite and migrate when the numbers justify it — not when the news cycle says so.

        [ What makes us stand out ]

        What makes AiXL different

        Outcome-first, not tool-first

        We start from the process and the cost of getting it wrong, then pick the smallest technology that fixes it. Sometimes that is a large model. Often it is not.

        First value in 30 days

        Discovery, a working system in one process area, and measured results inside a month. Long programmes lose their sponsor before they land.

        Senior people on the work

        The engineers and consultants in the workshop are the ones who build it. No hand-off to a delivery pool you have never met.

        Built for regulated data

        Privacy and security are our specialism, not an afterthought. DPIAs, residency, redaction and audit trails come as standard so risk and legal sign once.

        Priced so you can plan

        Fixed-scope discovery, fixed-price builds where scope allows, and transparent run costs. No surprise invoices halfway through.

        Vendor-neutral by design

        We benchmark platforms and models on your data and recommend whichever wins on quality, cost and fit — we are not paid to sell you one.

        [ AiXL in numbers ]
        0founded — built for the AI era
        0practices under one roof
        0days to first measured value
        0senior-led delivery

        Frequently asked questions

        We are a technology and IT consultancy. We assess where technology — and increasingly AI — will pay back in your organisation, build the assistants, automation and applications that deliver it, integrate them with the systems you already run, and support them in production. We also build the websites and mobile apps that sit in front of it all.
        Mid-market and enterprise organisations with real process volume and real systems behind it — typically finance, operations, IT service and customer teams in manufacturing, financial services, logistics, healthcare and professional services.
        Discovery takes two to three weeks. A working assistant, automation or application in one process area, in front of real users, typically lands inside 30 days of the engagement starting. We report measured results at that point rather than at the end of a long programme.
        Whichever wins on your data. We are vendor-neutral and benchmark platforms and models on quality, latency and cost for each task, then recommend accordingly and re-test as new releases ship. You are not locked to a single vendor by our architecture.
        It is our specialism. Every engagement starts with a data protection impact assessment: what data the system touches, where it is processed, how long it is kept and who can see it. PII is detected and redacted in the pipeline, retrieval is permission-aware so an assistant can never surface a record the user is not cleared to read, and your data is never used to train third-party models. Controls are mapped to UK/EU GDPR and ISO/IEC 42001, and every automated decision keeps an audit record of its inputs, sources, model version and approver.
        Yes. Source code, infrastructure definitions, prompts, test suites and runbooks are yours, handed over in your repositories. Managed support is available if you want us to keep running it, but it is a choice rather than a dependency.
        [ Success stories ]

        Northgate Group · Run

        Quality that holds

        Continuous evaluation against your acceptance suite catches regressions before your users report them. Monthly reporting on usage and cost per outcome, with tuning recommendations attached.

        Someone accountable once it is live

        Book a 45-minute consultation and we will scope what Managed IT & AI Support would look like in your organisation.

        [ One partner, every technology decision ]

        The only partner you’ll need

        [ Integrations ]

        Platforms we integrate AI with

        We connect assistants and automation to the tools your teams already run — we do not resell any of them.