CFO
A board-ready benchmark
Quantify where your finance function stands against the top 10% – and what it takes to close the gap.
2026 Office Of The CFO Automation Benchmark Report
Is Your Automation On Par With Top 10% Companies?
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Built For The Office Of The CFO
42 KPIs For The Entire Office Of The CFO
VP Finance
The investment case
Build the business case for the next automation investment with peer-validated KPIs and outcomes.
Director / Controller
An operational gap diagnosis
Pinpoint exactly where your team’s effort is leaking – across AR, AP and R2R – and what to fix first.
Inside The Benchmark Report
Get Answers To These 5 Questions Every Finance Leader Has
The report answers the five questions defining the modern Office of the CFO – and shows where the top 10% of finance teams set the bar.
01
Where do the top 10% of finance teams stand?
An automation benchmark across 42 KPIs in AR, AP and R2R – the elite standard for the modern Office of the CFO.
02
How does my current performance compare?
A 42-KPI scorecard that identifies structural gaps between your operations and the top 10% benchmark.
03
What is the AI Agent effect on cost and efficiency?
How AI agents move beyond instructions to automate entire decision cycles across AR, AP and R2R.
04
How are my peers unlocking working capital?
Real outcomes from enterprises like GE HealthCare, Red Bull and Nidec – quantified and benchmarked.
05
What is the roadmap for my team’s transformation?
A three-stage maturity framework to diagnose where you are today and what it takes to reach the top 10%.
From Manual To Autonomous
The Four Eras Of Finance Automation
Each era raised the performance bar. The top 10% are operating at the fourth.
Era 1
Manual Processing
High effort, low scale. Every exception consumes an analyst.
Era 2
RPA
Repetitive tasks automated – but breaks the moment variability appears.
Era 3
Workflow Automation
Rules-based routing. Still follows instructions, not judgment.
Top 10% Are Here
Era 4
AI Agents
Autonomous execution. Perceive, decide and act across the full workflow.
Inside The AI Agent
The Four Layers Top 10% Finance Teams Are Running On
Not one model – a decisioning layer that pursues a goal, not just an instruction.
01
RPA
Executes
Fixed, repeatable tasks – portal logins, data movement, structured handoffs.
02
Machine Learning
Predicts
Finds patterns to predict disputes, score credit risk and prioritise collections.
03
LLMs
Interpret
Read unstructured content – remittance notes, claim documents, supplier emails.
04
Proprietary Logic
Decides
Applies finance-specific rules and edge-case handling where general models fall short.
What You Walk Away With
Insights This Report Will Leave You With
Three honest conclusions for finance leaders deciding what to do next.
01
A 42-KPI scorecard for the Office of the CFO
See exactly where the top 10% sit across AR, AP and R2R – and the structural gaps between their numbers and yours.
02
The AI agent effect, quantified
Move beyond rule-based bots that break on exceptions. See how AI agents automate entire decision cycles end-to-end.
03
A three-stage maturity roadmap
Diagnose where your team sits across the four eras of finance automation – and what it takes to reach the top 10%.
