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AI Services

AI Operations

Deployment, maintenance, and agreed operations: so that an AI application continues to run reliably after the pilot and can be developed further.

Every change takes the same path.

Typical starting point

After the pilot, the question arises of who rolls out, monitors, backs up, and adapts the application, and what happens when the operator is to change.

What we do

  • Automated pipeline for building, testing, and rolling out
  • Monitoring with metrics, logs, and alerting
  • Encrypted backup and tested recovery
  • Cost control for the use of the AI services
  • Maintenance, updates, and step-by-step expansion

What you receive

  • An environment that can be rebuilt from code and documentation
  • Disclosed dependencies on providers, each with a fallback path
  • The option of taking over operations yourself or handing them over to a third party

Automated delivery

Every change takes the same path:

  1. Check in the test environment. Every change runs there first.
  2. Backup. Before the rollout, the current state is backed up.
  3. Rollout to production. Automated and by the same path as in test.
  4. Functional test. After the rollout, a check confirms that everything is running.
  5. Return in case of errors. If the test fails, the environment returns to the previous version.

Security from the start

  • Credentials and keys are kept in a protected store, never in the source code.
  • Access only for named personnel, according to the principle of least privilege.
  • Administrative access only encrypted and with multi-factor authentication.
  • Software dependencies are automatically checked for known vulnerabilities.

No lock-in

Because the environment is described as code and consists of standard components, it can be built with a different provider or in your own data centre. We disclose dependencies and name a fallback path for each one.

Further topics

AI Services

AI Environments

The environment in which your AI is allowed to work: model access, data connection, access rights, and operations, as the foundation for every further application.

AI Services

AI Integration

AI becomes usable where the work is done: as a function in existing software, as an interface, or as a separate application in your system landscape.

Approach

From the first idea to the usable AI solution.

  1. Understand the task and the data

    Which question is to be answered, which data is available, and in what quality?

  2. Set up the AI environment and architecture

    Models, data connections, access rights and the operating model are defined and set up.

  3. Develop and evaluate the application

    A first end-to-end workflow with real data, tested against agreed criteria.

  4. Integrate and advance the solution

    Integration into your systems, handover or agreed operation, step-by-step expansion.

Would you like to make AI usable in your company?

Whether a first AI adoption or a complex development task – we discuss the requirements and suitable next steps with you.

Discuss your AI project