# AI systems built to run, not just to demo.

> AI engineering services design, build and operate software that uses AI models in production. The work goes well beyond the model, covering data, integration, evaluation, security, monitoring and cost.

Source: https://www.digitalft.com/services/ai-engineering

## Production AI, end to end.

- **AI applications:** Software that puts AI into the workflows your people and customers already use.
- **AI agents:** Systems that plan and act across your tools, with clear limits and human oversight.
- **Knowledge and retrieval:** Connect AI to your documents and data, with permissions respected.
- **Data and integration:** The pipelines and interfaces that link AI to your core systems.
- **Evaluation and monitoring:** Tests and live measurement that show whether a system is working and staying that way.
- **Security and controls:** Access, logging and safeguards designed in from the start.

## The model is the small part.

A working prototype can come together quickly. A dependable system takes far more, because real data is messy and real users are unpredictable.

We treat evaluation, reliability, security and cost as engineering requirements from the first week, not as work for later.

- Measured against your real tasks and data
- Integrated with the systems you already run
- Observable and supportable after launch

## Frequently asked questions

### What is the difference between AI engineering and data science?

Data science focuses on analysis, experiments and models. AI engineering focuses on turning AI capabilities into dependable software, which includes integration, evaluation, deployment and operations.

### Do you work with our existing cloud and tools?

Yes. We build in your environment wherever possible, so the systems fit your security rules and your teams can run them.

## Ready to build something that lasts?

[Talk to us](/contact)