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Data HorizonConsulting

Solution

Adopt AI

From opportunity assessment to AI in production: use cases, integration, automation, deployment and monitoring.

Goal: Move from experiments to useful AI that runs in production and is measured.

Delivery path

Step by step

Each step links to the service that delivers it. We only run the steps you actually need.

  1. 1

    AI opportunity assessment

    Delivered by AI Solutions & Agents

  2. 2

    Use-case definition

    Delivered by AI Solutions & Agents

  3. 3

    AI integration

    Delivered by AI Solutions & Agents

  4. 4

    Automation

    Delivered by Business Process Automation

  5. 5

    Application development

    Delivered by Custom Software Development

  6. 6

    Deployment

    Delivered by DevOps & CI/CD

  7. 7

    Monitoring

    Delivered by Maintenance & Technical Support

  8. 8

    Optimization

    Delivered by Performance & Scalability

Outcomes

What you get

  • AI use cases chosen for their value

  • AI built into your tools, not an isolated demo

  • Data protected and guardrails in place

  • Quality, cost and adoption tracked over time

Services involved

FAQ

Frequently asked questions

Do we have enough data for AI?

Often, yes. Current models work well with your existing documents and procedures, without large training data sets. The assessment checks this up front.

What does AI cost to run day to day?

It depends on volume and the models used. We estimate running costs from the prototype stage and track them in production.

How do we measure the return?

We define metrics before starting — for example time saved per task or volume handled — then measure them after rollout.

Have a project in mind?

Tell us where you are and where you want to go. We’ll reply with a clear next step — no obligation.