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Monovi

AIOps

Operational computer vision.

Images from the line, the warehouse and quality points are tied to an operational decision.

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What Monovi takes on in AIOps

  • Identifying use cases inside running processes
  • Corporate AI and agents connected to company data
  • Document intelligence
  • Machine learning models
  • Operational computer vision
All of AIOps

What it is

Images from the line, the warehouse and quality points are tied to an operational decision. The aim is control inside the work already running, not a separate laboratory. The line can take this work together with trace and production operations.

Responsibility

What Monovi takes on in AIOps.

Corporate AI, documents, vision and machine learning sit on this line; the data platform and analytics sit on DataOps.

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  • Identifying use cases inside running processes
  • Corporate AI and agents connected to company data
  • Document intelligence
  • Machine learning models
  • Operational computer vision
  • MLOps: deployment and monitoring

Engagement models

Choose how Monovi works alongside your organisation.

  • 01Lead model

    End-to-end delivery

    The full software lifecycle from requirements analysis to go-live, followed by application support, maintenance and change management.

    • Requirements analysis, solution design and project management
    • Coding, testing and deployment
    • Application support after go-live
    • Technical documentation and DocOps
    Learn more
  • 02

    Specialist services & consultancy

    Track & Trace engineering for regulated industries, data and analytics, corporate AI, and SAP consultancy.

    • Track & Trace implementation, analysis and operational support
    • Track & Trace regulatory compliance support
    • Track & Trace business operations (factory & warehouse) support
    • SAP IBP and SAP Analytics Cloud
    • Data platform, analytics and corporate AI
    Learn more
  • 03

    Managed operations & 24/7 support

    Monovi takes on running and supporting your systems and business operations. The service is measured and reported against the KPIs in an agreed SLA.

    • 24/7/365 first- and second-level support
    • Incident, problem and change management
    • System maintenance and operational continuity
    • Your ticket system or ours, with periodic SLA reporting
    Learn more

FAQ

Questions that our clients ask before deciding.

Do we need a data platform first?

The data platform and analytics sit on DataOps; AIOps runs the AI. The two lines can work together.

Can agents work on our own data?

Yes. AI Agent is built for agents that work inside enterprise processes, on the company’s own data.

Who looks after a model after launch?

MLOps sits on the same line: deployment, monitoring and maintenance.

Next step

Let us make the next step clear.

Tell us what you need, and we will define the right scope together.