Run a practical SIRV AI sprint
Test one real workflow in a controlled way, using your approved material, before deciding what wider implementation should look like.
A practical way to test whether SIRV AI fits your workflow
Most teams do not need a broad AI programme to know whether this is useful.
They need to test one real workflow, with the right controls, using the material they already rely on.
A SIRV AI sprint is designed to do that. It helps you explore one operational use case in a practical, limited way so you can judge fit, value and next steps with more confidence.
Document evaluation
Check whether internal or third-party documents meet your expected standard, include the right content, and are workable in practice.
Procedure access under pressure
Test whether teams can retrieve the right approved procedure more quickly and work from it more consistently.
Incoming information triage
Assess whether incoming reports or messages can be organised, prioritised and summarised in a more useful way.
A good fit when you want to answer three questions
1. Is this workflow a good fit for SIRV AI?
Can the task be improved in a way that is useful, controlled and realistic?
2. What value does the sprint show?
Does it reduce friction, improve consistency, or make the workflow easier to evidence and review?
3. What should the next step be?
Is this ready for implementation, refinement, or not worth pursuing further?
How the sprint works
The sprint is designed to be structured, practical and low-friction.
Week 1 – Define
Agree the workflow, scope, success criteria and review points.
Week 3 – Test
Run SIRV AI against the chosen workflow in a practical, limited environment.
Week 2 – Prepare
Gather the approved material, examples and working assumptions needed for the sprint.
Week 4 – Review
Assess outputs, discuss what the sprint showed, and decide the most sensible next step.
What you get at the end
- Tested use case based on one real workflow
- Sample outputs using your approved material
- Clearer view of where SIRV AI helps and where review is still needed
- Assessment of fit, value and practical constraints
- Recommendation on whether to implement, refine or stop
Designed to be practical and controlled
The sprint is built to help teams test one workflow without treating AI as an open-ended experiment. That means:
- the scope is defined
- the material is agreed
- outputs can be reviewed
- the purpose is to learn what works in practice
- the end point is a clear decision, not an indefinite pilot
The sprint is built to help teams test one workflow without treating AI as an open-ended experiment.
Example sprint scenarios
Document evaluation
A team wants to test whether RAMS and related submissions can be reviewed more consistently against expected standards before deciding on wider rollout.
Procedure access
An operator wants to test whether staff can retrieve the right approved guidance more quickly during time-pressured situations.
Incoming information triage
A team wants to see whether incoming reports can be sorted and summarised more clearly before a broader implementation decision.
What happens next
At the end of the sprint, the question is not whether SIRV AI is interesting. It is whether it showed enough practical value in this workflow to justify the next step.
That next step is usually one of three options:
- move to implementation for the tested workflow
- refine the scope and run a narrower follow-on stage
- stop, because the fit or value is not strong enough
Talk through a possible sprint
If you already have a workflow in mind, such as document evaluation or procedure access, we can talk through whether a practical sprint would be a sensible next step.
"SIRV helped us move beyond basic reporting into a system that actively supports decision-making". Les O'Gorman, Director of Facilities, UCB - Pharma and Life Sciences
