Support team in an operations room at night

Managed AI services

Managed AI services that keep AI accurate

Managed AI services keep the AI your organisation runs accurate after go-live, monitoring drift and adding new uses as your processes change.

What happens after go-live

  • Accuracy drifts

    New suppliers and formats the model has never seen.

  • No one owns it

    The project team moved on, and if one person leaves nobody knows how it works.

  • Running costs creep

    Usage grows without anyone watching.

  • A backlog of ideas

    Teams want more, and nobody has time to build it.

What AI managed services cover

  • Monitoring

    Accuracy, volumes and failures tracked.

  • Tuning

    Rules and prompts updated as your work changes.

  • Cost oversight

    Usage and running costs reported regularly.

  • Support

    A named contact when something needs fixing.

  • New use cases

    Extended to new processes and sites.

How it runs

  1. Agree

    What we monitor, report and respond to.

  2. Monitor

    Accuracy and costs tracked continuously.

  3. Review

    Regular review with your process owner.

  4. Extend

    Add the next process when the numbers support it.

Systems we work with

We connect to the platforms you already run. You keep your licences and your data.

  • SAP
  • Microsoft Dynamics 365
  • Pronto Xi
  • Xero
  • MYOB
  • Microsoft 365
  • SharePoint
  • ServiceNow
  • Jira
  • Power BI
Manager signing off a document beside a laptop

You stay in control

Managed services are optional. You own the code and documentation from handover, and you can bring support in-house or move it to another provider at any time.

  • Optional support
  • Your code, your documentation
  • Clear, regular reporting

Questions

What do AI managed services cover?

AI managed services cover accuracy monitoring against the threshold you set, re-testing and tuning when documents, suppliers or processes change, running-cost reports, a named contact when something breaks, and new use cases as you grow.

Do we need managed services after an AI project goes live?

Not necessarily. Managed services are optional, and your team receives documentation, runbooks and training at handover either way. They suit organisations without in-house AI skills, or where documents and suppliers change often enough that accuracy needs regular attention.

Can you support AI built by someone else?

Yes. Solve8 takes it on after a short review of how it was built, how accuracy is measured today and who has access. Any gaps, such as missing monitoring or documentation, are fixed first.

How are managed AI services priced?

Managed AI services are priced as a fixed scope and fee, agreed in writing. The fee reflects how many systems and processes are covered, the volumes involved, the response times you need and how often new use cases are added.

Can managed AI services be delivered remotely?

Yes. Monitoring, tuning and most fixes happen remotely inside your environment under the access you grant, which is how we support organisations in Sydney, Melbourne and across Australia and New Zealand. Site visits are arranged for reviews and larger changes.

Keep your AI accurate

Tell us what is running today and we will propose a support scope.

Fixed-fee phases, agreed before we start. Stop after any phase.