End-to-end service

AI implementation for business

We take your AI project from discovery to daily use, with a clear scope, working integrations and ongoing support.

Discuss your project Explore our process
End-to-end delivery
1 Assessment 3–5 days
2 Architecture 1–2 weeks
3 Implementation 2–4 weeks
4 Operations SLA

An AI project needs a clear job to do. We start with the work your team handles today, the information it uses and the result you want to improve. That gives us a basis for choosing the technology and measuring whether the implementation helps.

Start with a workflow you can evaluate

During discovery, we identify repetitive tasks, review representative data and agree on success criteria. These might include document processing accuracy, the quality of search results, time spent reviewing a draft or the number of requests that need a person. We also identify steps that should stay under human control.

You receive a proposed scope, delivery plan and cost estimate before implementation begins. The stage durations above are indicative; the agreed schedule reflects data readiness, integration access and the complexity of the workflow.

Build around your working environment

We can use a managed cloud service, a private cloud or your own infrastructure. The choice depends on data handling requirements, expected workload, application quality and who will operate the system. We evaluate those tradeoffs with you instead of assuming that one deployment model fits every project.

The application connects to the systems your employees already use. We configure permissions, validate outputs and test how the workflow behaves when information is missing or a connected service is unavailable.

Make the handover part of the project

We agree on acceptance criteria before launch, help your team use the application and document how it is supported. Monitoring and further development can continue through managed AI services.

If you already have an architecture or an internal development team, you can commission an individual service within the same delivery process.

Project stages

  1. 01

    Discovery

    3–5 days

    We review your workflows, establish a baseline, compare deployment options and define a practical first use case.

  2. 02

    Architecture

    1–2 weeks

    We design the application, model access, data connections and operating environment around your requirements.

  3. 03

    Implementation

    2–4 weeks

    We deploy to an agreed cloud or private environment, connect your data and integrate the workflow into your existing tools.

  4. 04

    Ongoing operation

    Ongoing

    We monitor the system, evaluate updates, maintain backups and respond to incidents under the agreed service level.

What you receive

  • Discovery report with scope, assumptions and an estimated business case
  • Architecture and infrastructure specification
  • A working AI application connected to approved data and systems
  • Acceptance results, operating documentation and agreed support terms