Subcontract Investigation Sprint
A short diagnostic package for primes that need fast clarity on a workflow bottleneck, service issue, or ambiguous AI opportunity before committing to broader delivery.
View packageThe Brief
What landed on our desk
Context: The company did not need a grand transformation programme. It needed one workflow to stop bleeding time: triaging order issues, pulling the right evidence from scattered systems, and preparing a sensible next action for a human operator to approve.
The real problem: The trap was obvious. Many AI demos can summarise a complaint. Far fewer can deal with live operational mess: partial data, conflicting system records, edge cases, and the need for a clear audit trail when money, stock, and service recovery are involved.
Lines of Inquiry
How we worked the case
- We mapped the exception-handling process end to end and found the repeatable bottleneck was not decision-making itself, but the manual assembly of context before a decision could be made.
- We designed a workflow assistant that gathered order history, matched issue types, prepared recommended actions, and routed uncertain cases to human review instead of bluffing confidence it did not have.
- We kept the operating model tight: visible case states, intervention points, and notes the team could use to improve the workflow week by week.
Closed Loop
What changed once the facts were in
- Operators spent less time hunting for context and more time resolving the cases that actually required judgment.
- Leadership got a narrower, more useful AI story: faster exception handling with visible controls, not vague claims about autonomous service.
- The work proved where a broader build could follow, because one painful queue had finally become measurable and governable.
Engagement Shape
Which package fit the case
Embedded Rapid Build Package
An embedded delivery package for primes that need specialist AI execution under their umbrella to ship a practical workflow or feature on a tight timeline.
View packageOpen a Case
If your operations team is acting as the integration layer between broken systems, start with the queue that consumes the most human context-switching and make that workflow legible.
Share the workstream, pressure point, and timeline. We will come back with a scoped recommendation within one business day.