Services · AI Operations
AIOps.
Brings AI into the operation the company already runs.
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
- Measured servicePerformance is monitored and reported against the KPIs in an agreed SLA.
- On site or remoteMonovi builds, trains and onboards the team beside your core team.
- Microsoft partnerEngineering on Microsoft technologies, cloud, web and native mobile.
- CertifiedISO 9001:2015 quality and ISO 27001:2022 information security management.
Why it matters
AI does not work if it stays a showcase outside the work already running.
What it is
AIOps places the model and the agent inside the process already running. Corporate AI, documents, vision and machine learning sit on this line. The data platform and analytics sit on DataOps. Some of the titles below are not published as a separate product today; the line can take the work.
The challenge
AI creates value inside the process that already runs.
AI does not work as a showcase outside the work. AIOps places the model and the agent inside the process the company already runs.
- 01
Pilots never reach operations
Experiments create no value until they connect to a real workflow.
- 02
Documents are processed by hand
Repeated reading, extraction and data entry consume team time.
- 03
Data is scattered across systems
A model is only useful once it is connected to the company’s own data.
- 04
Live models are not monitored
Maintaining and monitoring a deployed model is an operation in itself.
Offerings
AIOps01
Corporate AI
AI applied as part of the existing business process.
AIOps02
AI agents in the process
The agent sits on the company’s own data, inside the process already running.
AIOps03
Machine learning
Models are built to shorten time to insight.
AIOps04
Document intelligence
Documents and operational records are turned into structured data.
AIOps05
Operational computer vision
Images from the line and the warehouse are tied to an operational decision.
AIOps06
MLOps
A model’s release, version and trace stay in one discipline.
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.
- 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
- 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
- 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
How we work
How an engagement runs, in four steps.
We work as a business partner rather than a short-term supplier. Scope, responsibilities and measures are clear from the start.
Step 1
Understand
Business goals, requirements and the current system landscape are analysed; scope and responsibilities are agreed.
Step 2
Set up
The team is built, trained and onboarded, on site or remotely. The SLA and its KPIs are defined.
Step 3
Run
Development, support, monitoring, incident and change management are run by Monovi within the agreed scope.
Step 4
Improve
Performance is reported against KPIs; processes and know-how are documented and continuously improved.
- Contact Monovi
Why Monovi
A partner, not a short-term supplier
Not only software: we also provide the operational solutions and technical people to run IT systems and business operations.
Software, operations and people in one place
The teams run and support the Track & Trace software suites, test new versions before deployment and follow up on issue resolution.
Service you can measure
Service performance is monitored and reported against the KPIs in the SLA. Processes run under ISO 9001:2015 quality management.
Budget goes to the work, not the licence
There is no need to set aside a large licence budget; the budget goes to the work and processes that create the value.
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.