Connect AI to approved knowledge sources
Define the owner, success measure and approval point before connecting tools.
Human-supervised automation · FDS
Useful AI tools exist, but they are disconnected from the systems, permissions and approval steps where work actually happens.
Plain-English answer
AI Integration at FDS means connect approved AI capabilities to existing email, CRM, forms, documents and operational tools with explicit data boundaries and human review.
The opportunity
Connect approved AI capabilities to existing email, CRM, forms, documents and operational tools with explicit data boundaries and human review.
Measure adoption, turnaround time, integration reliability and the percentage of outputs approved without rework.
A practical first pilot
Review the current stack, permissions and data flows first; then integrate the smallest useful AI capability with logging, review and rollback controls.
A named person retains responsibility for approval, exceptions and final customer-facing decisions. Access, data retention and testing are agreed before launch.
Measurement
Measure adoption, turnaround time, integration reliability and the percentage of outputs approved without rework.
Demonstration systems are labelled separately from verified client outcomes so prototype capability is not presented as client performance.
Review evidence standards →Use cases
Define the owner, success measure and approval point before connecting tools.
Define the owner, success measure and approval point before connecting tools.
Define the owner, success measure and approval point before connecting tools.
Explore industry applications, demonstration systems and direct AI automation answers.
Related services
Frequently asked questions
Connect approved AI capabilities to existing email, CRM, forms, documents and operational tools with explicit data boundaries and human review. A pilot begins with an agreed workflow, data boundary and owner.
Often, yes. Discovery checks available integrations, permissions, authentication and data quality before FDS recommends a build.
FDS lists a £250 Workflow & AI Diagnostic and starter implementations at £750–£1,500. Managed Automation is £500/month. Larger projects and third-party costs are scoped separately.
There is no responsible universal duration. Timing depends on the number of systems, data readiness, approval requirements, testing cases and acceptance criteria identified during discovery.
Yes. Approval gates and escalation for sensitive, uncertain or high-impact actions are defined before deployment.
Measure adoption, turnaround time, integration reliability and the percentage of outputs approved without rework.