Map the starting point
Identify workloads, owners, data flows, dependencies and operational constraints. Separate what needs to move from what should remain where it is.
Plan a cloud migration around your data and operating boundaries.
Move from an inventory of systems to a reviewable migration plan. Discuss dependencies, hosting needs, access, cutover and rollback before agreeing the delivery scope.
What we would work through
Design the target
Compare the proposed hosting boundaries, connectivity, access roles and data residency requirements. Record the choices your security and operations teams need to approve.
Plan the transition
Agree environments, migration batches, data validation, cutover checks and a rollback approach. A plan should state the conditions for proceeding or stopping.
Prepare for operations
Define ownership, monitoring, backups, recovery expectations and the handover needed after the move. Availability and support commitments belong in the agreed scope, not in a generic guarantee.
Agree the outputs before delivery
A workload inventory, proposed target architecture, migration sequence, validation checks and an operating handover are useful outputs to agree. The exact deliverables and acceptance criteria depend on the engagement.
Bring your current systems, the problem to solve and the people who will review the result. The team will confirm fit, dependencies and scope before committing to delivery.
Engineering around accountable AI
These are engineering services, separate from the CloudSeals applications. For finance reconciliation see LedgerSight; for configured safety events see CompliSight; for carbon evidence see CarbonSight.
See the wider AI Cloud Engineering service for implementation and deployment support.