Frequently asked questions
Direct answers about how we work, what an engagement costs, how long things take, and what happens to your data. If your question is not here, ask us at hello@aixlconsultancy.com.
Working with AiXL
What does AiXL actually do?
We are a technology and IT consultancy. We assess where technology — and increasingly AI — will pay back in your organisation, build the assistants, automation and applications that deliver it, integrate them with the systems you already run, and support them in production. We also build the websites and mobile apps that sit in front of it all.
Who do you work with?
Mid-market and enterprise organisations with real process volume and real systems behind it — typically finance, operations, IT service and customer teams in manufacturing, financial services, logistics, healthcare and professional services.
How quickly can we see something working?
Discovery takes two to three weeks. A working assistant, automation or application in one process area, in front of real users, typically lands inside 30 days of the engagement starting. We report measured results at that point rather than at the end of a long programme.
How do you price engagements?
Readiness assessments are fixed scope and fixed price. Builds are fixed price where scope allows and time-and-materials where it genuinely cannot be. Managed support is a monthly retainer against an agreed SLA. Run costs are reported transparently at cost.
Can you work with our existing IT team?
Often that is the best arrangement. We can lead delivery, embed alongside your engineers, or act purely as the architecture and assurance function while your team builds. We document as we go specifically so your people can take it on.
Data, privacy and security
What about data privacy and security?
It is our specialism. Every engagement starts with a data protection impact assessment: what data the system touches, where it is processed, how long it is kept and who can see it. PII is detected and redacted in the pipeline, retrieval is permission-aware so an assistant can never surface a record the user is not cleared to read, and your data is never used to train third-party models. Controls are mapped to UK/EU GDPR and ISO/IEC 42001, and every automated decision keeps an audit record of its inputs, sources, model version and approver.
After it is live
Do we own what you build?
Yes. Source code, infrastructure definitions, prompts, test suites and runbooks are yours, handed over in your repositories. Managed support is available if you want us to keep running it, but it is a choice rather than a dependency.
Anything else
Which platforms and models do you use?
Whichever wins on your data. We are vendor-neutral and benchmark platforms and models on quality, latency and cost for each task, then recommend accordingly and re-test as new releases ship. You are not locked to a single vendor by our architecture.
Do you only do AI work?
No. We are an IT consultancy first: web platforms, mobile apps, integration, cloud and support are standard engineering work for us, with or without AI in them. Many clients start with a web, app or integration project and add intelligence once the foundations are in place.