Paid Workflow Triage
A small paid diagnostic for teams and partners that need evidence before committing to an AI workflow build, operating-memory programme, or larger delivery sprint.
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
Operating-Memory Retainer
A workflow-tied retainer for clients or partners with a deployed AI system that needs evaluation, changes, provider/model swaps, governance updates, and new workflow expansion.
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.