01
Unstructured intake
Requests arrive in email and chat, so triage is human and AI cannot help.
End-to-end process
Knowledge work that compounds.
From task in inbox to a decision your organisation can reuse. The most invisible E2E flow and the one where AI quietly resets the cost base.
Trigger
Incoming work item: request, question, document
Handoffs
Intake → Routing → Work → Decision
Outcome
A decision captured and reusable
Owner
Function head with COO endorsement
What good looks like
- 01Intake is structured enough that AI can triage and rough-draft the obvious cases.
- 02Decisions land in a single record people search before they ask.
- 03Work in progress is visible without anyone writing a status update.
- 04Capacity is measured in decisions made, not hours logged.
Where it usually breaks
02
Decisions stored in heads
The same question gets asked four times because the answer was never written down.
03
Status as work
Half the team time is spent reporting on the other half.
04
AI bolt-on
A copilot is rolled out without redesigning the work, so usage spikes and decays.
Flovio's preparation move
- 01
Map the actual work items and their decision endpoints.
- 02
Redesign intake so structure exists before AI is asked to help.
- 03
Define what a captured decision looks like and where it lives.
- 04
Hand over an operating model where AI earns its seat against named work.
FAQ
- Is this just AI adoption?
- No. AI is one lever inside a redesigned operating model. Without the redesign, copilots are a productivity rounding error.
- Which functions benefit most?
- Service operations, finance shared services, HR ops, legal review, and analyst-style roles in product or strategy.
- How do you measure value?
- Decisions per FTE per month, reuse rate of captured decisions, and unit cost per decided item.
Want this preparation move for your organisation?
Start with a diagnosis. You get a clear picture of what actually moves you to the target state, and what does not.
Book a discovery call