A promising AI use case has not been converted into a reliable working process.
AI Workflow Implementation Sprint
Implement a bounded AI-enabled workflow with suitable controls, testing, documentation and handover.
A promising AI use case has not been converted into a reliable working process.
For: SMEs with a defined AI use case.
Project fee
Scope, supported tools, acceptance tests and exact price are confirmed before commitment.
Human-control points · testing and documentation · no implementation where the manual route is superior or risk cannot be controlled
Does this sound familiar?
What you will receive
Workflow design
A bounded design for the agreed AI-enabled process.
Configuration
Configuration within the agreed supported tools.
Human-control points
Explicit points where people retain appropriate control.
Testing and SOP
Testing plus practical operating documentation.
Handover and initial measures
A controlled handover and initial performance measures.
A defined implementation
- Service type
- Implementation service
- Delivery
- Remote implementation
- Pricing
- Project fee
The use case, supported tools, security/privacy route, acceptance criteria and fee are agreed before commitment.
What needs to be in place?
Validated use case; supported tools; access; security/privacy clearance where needed.
What is outside the scope?
No implementation where manual route is superior or risk cannot be controlled; no unsupported regulated use.
Is this the right service for our organisation?
It is intended for SMEs with a defined AI use case that is promising enough to justify turning it into a reliable working process.
Start with the use case
What AI-enabled workflow are you trying to make reliable?
Tell us the use case, tools, current process and what successful operation would look like. We will establish fit and define the implementation boundary before anything is agreed.