Discover
Name the workflow, owner, baseline, affected people, systems, data and constraints.
- Representative work and exceptions
- Current time, quality and service measures
- Risk, permissions and decision ownership
AIS / THE AISOLVIA DELIVERY MODEL
THE AISOLVIA DELIVERY MODEL
No disappearing after the strategy deck.
One accountable partner connects discovery, implementation, adoption and evidence. The technology earns expansion rather than assuming it.
Design
Choose the smallest response that can create evidence without creating unmanaged risk.
- Future-state workflow and human controls
- Build, buy or integrate decision
- Test plan, value measures and delivery scope
Deploy
Build in the real operating context, evaluate normal and difficult cases, then train users.
- Working integration and audit trail
- Quality, security and exception testing
- Documentation, training and launch support
Improve
Review adoption, quality, exceptions, cost and value; expand only when evidence supports it.
- Usage and outcome review
- Prioritised improvements
- Handover, managed support or a clear stop decision
A PROOF OF VALUE IS READY WHEN01 02 03 04
The decision is clear.
A named owner accepts the workflow and controls
Representative cases meet agreed quality thresholds
People can use the system and know when to escalate
The measured benefit justifies the cost and operational burden
WE WILL RECOMMEND STOPPING WHEN01 02 03 04
Evidence says no.
The process should be simplified before automation
Data rights, access or quality cannot support the use case
Risk exceeds the value of the proposed automation
Adoption or measured benefit does not justify expansion
Make AI useful.
Tell us where work gets stuck. We will help you identify a sensible first move.
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