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03 / AI Integration & Adoption
Make AI useful in engineering
Help your team move from individual experiments to useful, repeatable and appropriately reviewed working practices.
ADI supports practical AI adoption across engineering organisations, including those outside the space sector. The focus is on useful applications, the people doing the work and the checks needed to use AI responsibly.
How we can support you
- Find useful applications
- Review existing workflows and identify specific tasks where AI could reduce effort, improve access to information or support engineering work.
- Demonstrate & pilot
- Develop relevant demonstrations and small, focused pilots so that teams can assess the technology using problems they recognise.
- Build team confidence
- Help engineers understand capabilities, limitations and ways to check outputs. Address concerns through practical examples and clear expectations.
- Set working boundaries
- Consider confidentiality, human review and accountability when deciding how tools should be used within existing processes.
- Assess before expanding
- Review usefulness, quality and the effort involved before extending a pilot to a wider team or a more demanding application.
Work can begin with one defined workflow or a broader opportunity assessment. Responsibilities, information boundaries, review steps and the intended handover are agreed before a pilot is built.
Typical outputs
- Opportunity and risk assessment
- Pilot definition
- Reviewed prototype
- Evaluation and usage guidance
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