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MTK Intelligence

MTK Intelligence is the data and AI platform behind MTK applications, giving analytics and AI agents one model of the business.

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MTK Intelligence: Data foundation, Business ontology, Governed AI agents, Control and auditMTK Intelligence: Data foundation, Business ontology, Governed AI agents, Control and audit

The problem it addresses

Why enterprise AI stalls on data and control

  • Data in many systems

    ERP, CRM, files and spreadsheets each hold part of the picture, defined in different ways.

  • AI without business context

    Models read raw tables without knowing what a customer, an order or an approval means to the business.

  • No audit trail

    When an AI answer or action cannot be traced, risk and audit teams will not accept it in production.

In MTK services

MTK Intelligence across the service lines

MTK Intelligence across the service lines
Service lineStageHow it is used
AI Strategy & TransformationAssess

Evidence for the roadmap

Data quality and use-case feasibility are measured on the client's live systems, not only in interviews.

Data & AI PlatformsBuild

The data foundation

Connectors, pipelines and the shared business model are configured for the client instead of written from zero.

Applied AI & AgentsPilot · Scale

A runtime for agents

Agents run with approval steps and audit trails from the first pilot, so they can move to production.

Cloud & Managed AI OperationsOperate

Operations and monitoring

Model quality, data freshness, agent activity and cost are tracked on the same platform after go-live.

Components

Four components, one platform

MTK ERP, MTK Energy and MTK Predictive run as applications on these four components.

  • Data foundation

    Connectors, storage and pipelines that bring business systems into open formats, with lineage from every figure to its source record.

  • Business ontology

    A shared model of customers, products, orders and assets, with metrics and actions defined once for dashboards, applications and AI.

  • Governed AI agents

    Agents read data through the ontology and change it only through defined actions, which a person with authority approves.

  • Control and audit

    Access rules, evaluation before each release and a record of every answer, approval and cost, so any result can be re-run.

Deployment

  • In the client's cloud
  • Managed by MTK

From question to action

Traced answers, approved actions

  1. User

    Ask

    A person or an agent asks a question in business terms.

  2. Ontology

    Query

    The question runs as a logged query through the business ontology.

  3. AI agent

    Propose

    Where a change is needed, the agent proposes a defined action with the data behind it.

  4. Approval

    Approve and record

    A person with authority approves, and the answer, approval and cost are recorded so the result can be re-run.

Related use cases

Use cases on MTK Intelligence

View all use cases

  • MTK Intelligence

    Business data in one model

    ERP, CRM and file data combined in one model, so dashboards and AI use one definition of each KPI.

    Business data in one model

  • Intelligent Enterprise Applications · MTK ERP

    Business operations on one platform

    Sales, targets and bids for every unit on one platform, with company data linked in place and agents that propose.

    Business operations on one platform

  • MTK Intelligence

    Document intelligence

    Invoices, orders and contracts read into structured records, with uncertain fields sent to a person, measured by time per document.

    Document intelligence

  • MTK Intelligence

    Data centre design review

    Drawings, schedules and specifications checked for single points of failure across power and cooling, with evidence for each finding, measured by review time per revision.

    Data centre design review

Ownership and deployment

What the client owns and where it runs

  • Client ownership

    Data, data products, the business model and the models trained on them belong to the client. The platform is licensed.

  • In the client's cloud

    Installed in the client's cloud subscription, so data, model endpoints, agents and logs stay in the client's environment.

    or

  • Managed by MTK

    MTK hosts and operates the platform in an environment it manages, with client data held in its own tenant.

FAQ

Questions about MTK Intelligence

Why does a services company build its own data and AI platform?
Because the same foundations are needed in every engagement. Building them once lets MTK start each project on tested components and keep controls consistent across clients.
Does MTK Intelligence replace our data warehouse or cloud platform?
No. It runs on the client's chosen cloud and can use an existing warehouse as a source. MTK adds the business model, governed actions and applications on top.
Can an AI agent change our records on its own?
No. Agents propose changes through defined actions, and a person with authority approves each one. An agent never has more access than the person it acts for.
Can an AI answer be checked later?
Yes. Each figure an AI gives comes from a query that is logged and can be run again. If no figure can be traced, the answer says so.

See MTK Intelligence on sample data

A demonstration covers the data foundation, the business model and an agent proposing an action for approval.

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