Identify the people, systems and information needed for the work. Agree roles and the scope of connected access.
01 / Trust and control
Useful AI.
Clear boundaries.
Your practice stays accountable for its work.
Security, accuracy and professional responsibility are different questions. A deployment conversation should answer all three, with a clear account of what the system can do and where human review belongs.
Discuss your requirements02 / A considered deployment
Agree the boundaries before the work begins.
Distinguish permitted routine actions from decisions needing a person's approval.
Examine supporting sources, outputs and exceptions. AI assistance does not replace professional judgment.
Confirm the available action history, customer visibility and retention for your configuration.
03 / Different questions, different evidence
Secure access does not make an answer correct.
Review the evidence behind recommendations as well as the controls around the information. A recorded action still needs to be appropriate for the client and the task.
Discuss data handling, hosting, model-provider use, isolation, retention and incident response with our team.
Check the information used, the work produced and any uncertainty before relying on an output.
Understand what information supports the work and what record is available.
Agree approval points, exception handling and the available ways to stop or correct work.
04 / Due diligence
Ask the questions your organisation needs answered.
Contact us for current technical and security information relevant to your proposed deployment. Availability, integrations and control settings should be confirmed with the FAYBL team; this overview is not a certification or a guarantee that AI outputs are error-free.
Request a security conversation