Paid consultancy for one operational workflow
AI Operations Sprint
Start with one workflow. We map the friction, build the agreed prototype, automation or integration, and return a QA evidence pack with a clear rollout, revise or stop recommendation.
Scope, timetable, price and acceptance checks are agreed in writing before work starts.
How the Sprint works
Diagnose, build and prove one bounded workflow.
- 01
Diagnose
Map the workflow, friction, data boundary and success measure.
- 02
Build
Configure, integrate or create the agreed bounded workflow with human controls.
- 03
Prove
Test it, document the evidence and make a rollout, revise or stop decision.
Named deliverables
What do you receive?
Every engagement has named deliverables, assumptions, acceptance checks and a handover. Reusable components are used where they fit, while bespoke work remains explicit.
Workflow map
The current steps, owners, handoffs, friction, data boundary and agreed success measure.
Bounded implementation
The agreed prototype, automation or integration, built only within the written scope.
QA evidence pack
Acceptance checks, representative scenarios, recorded outcomes and the evidence behind the recommendation.
Runbook and handover
Operating notes, assumptions, risks, review points and ownership for the next decision.
Fit
When is the Sprint a good fit?
- One operational workflow creates repeated admin, delays, unclear handoffs or limited visibility.
- The people who run the workflow can help define the current process, boundaries and acceptance checks.
- You want a bounded implementation and evidence before deciding whether to roll out, revise or stop.
Exclusions
What is outside the Sprint?
- An all-in-one care-management platform or open-ended transformation programme.
- Autonomous admission, eligibility, clinical, medication or safeguarding decisions.
- Production use of personal or special-category data before the necessary controls and permissions are agreed.
- A guaranteed result, quantified saving or wider rollout before the evidence supports it.
Forward-deployed AI engineer
Who works with your team?
Your forward-deployed AI engineer works alongside the people who run the service. They learn the workflow, build within the agreed boundaries, test with representative scenarios and leave your team with the runbook, evidence and ownership needed to operate the result.
Human decisions stay with authorised people
Eldradesk assists staff. It does not make admission, eligibility, clinical, medication or safeguarding decisions. Authorised people approve, amend or reject consequential outputs.
Start with one workflow.
Bring one operational bottleneck. The Assessment will clarify the workflow, boundaries, evidence and written scope needed for a confident next decision.