Current friction
Where work stalls, duplicates, waits, or loses context.
Use Case
Finance reporting is a strong AI candidate when inputs, checks, approvals, and evidence are visible before the report is drafted.
What We Assess
Where work stalls, duplicates, waits, or loses context.
Who can decide, approve, escalate, or stop the work.
The map, rules, and notes the team can use after the scan.
The Pattern
Reporting drag hides in late inputs, unclear review ownership, and missing evidence. We redesign the flow so AI can prepare checks while people keep sign-off.
What Changes
Recurring steps and exceptions become clear enough to improve.
Decisions sit at the right point, and AI stops where judgment is needed.
Context moves with the work instead of being rebuilt each time.
The team gets the logic and ownership model.
Redesign Surface
Late inputs, manual reconciliations, and approval questions arrive too close to the deadline.
Inputs, checks, evidence, AI-prep steps, and sign-off moments sit in a named reporting flow.
A reporting map with owners, gates, source checks, AI-prep points, and transfer notes.
BeforeFragmented inputs and unclear owners.
Work moves by memory, meetings, and side-channel context.
Each cycle rebuilds the same explanation.
AfterRecurring steps, decisions, and exceptions are visible.
The right actor owns the right part of the flow.
The team receives rules and notes for the next cycle.
Operational Rule
A workflow is not ready for AI until decisions, exceptions, ownership, and stop conditions are visible.
Bring this workflow as the first surface. We will map the current state and define where AI can safely help.
Book a workflow scan