More capability around the systems you already own.
Use a supplementary data and automation layer to coordinate tasks, approvals, notifications and reporting across existing business applications.
Discuss your scope →Outsource an operating process. Keep clear ownership.
Agree the workflow, Human + Agent responsibilities and operating boundaries. FDE engineering supports implementation and continuous improvement around the agreed process.
Discovery and transition planning shape a practical managed service. A defined monthly scope and SLA cover workload, service hours, acceptance checks, escalation and review.
Changes in workload or responsibilities follow an agreed scope review. Specific fees and service targets are confirmed for the engagement.Practical support.
Explicit responsibilities.
- 01Cross-system workflow and data ownership mapping
- 02Supplementary portals, dashboards and approval flows
- 03Human and AI task coordination with evidence capture
- 04Notification, reporting and connector implementation
An enterprise AI application retrieves approved knowledge but its actions need review in another system. A supplementary layer can coordinate requests, permissions, approvals and outcome records while existing systems retain their responsibilities.
What we agree before startingWe assess APIs, licensing, data access and supported integration methods first. Not every function can be added to every platform; source-of-truth and writeback rules are agreed before implementation.
Add operating capacity.
Keep business control.
Delivery arrangements, support hours, languages, data access and approval responsibilities are defined for your project.
See our working approach →Start with one clear operating need.
Where does work currently fall between systems or teams?