A finance team handles 2,400 invoice exceptions each year at an average of 35 minutes per case. The Finance Operations Manager owns payment accuracy and processing efficiency.
← Process Intelligence Map
PROCESS INTELLIGENCE / 01 WHY CHANGE
Business Outcome.
Define the improvement before selecting the technology.
A clear business outcome gives the process, data and AI work one measurable purpose.
Business Outcome defines the decision, task or operating result the organisation wants to improve and why that improvement matters. We name the accountable owner, the customers or teams affected, the present volume and performance, and the consequence of delay, errors, rework or missed opportunity. This creates a factual baseline rather than beginning with a general ambition to ‘use AI’.
The outcome also establishes the target, value, time horizon and non-negotiable guardrails. It states what must become faster, more accurate, less costly or less risky, while making clear what must not deteriorate. Every later design choice — the process change, AI role, required data, human control and pilot measures — must be traceable back to this agreed business result.
Finance · invoice exceptions
The same example follows the complete map so each dependency remains visible from outcome to pilot evidence.
Target a 30% reduction in handling effort while keeping payment accuracy, approval compliance and supplier outcomes at or above the current baseline.
Data makes it possible. People keep it accountable.
Evidence required at this step
Exception volumes, handling time, labour cost, payment accuracy, approval breaches, supplier complaints and the current service-level baseline.
Open the AI-Ready Data step ↗Who decides
The process owner approves the baseline, target, value assumptions and unacceptable consequences before any AI capability is designed.
Open the Human Control step ↗WHAT THIS STEP PRODUCES
- 01Named business outcome and owner
- 02Current performance and value baseline
- 03Measurable target and guardrails