The Spreadsheet Problem: A Structural Weakness
Spreadsheets remain deeply embedded in the close process, but they introduce significant risk.
They are flexible, but not reliable at scale.
90% of spreadsheets contain errors
Manual data entry costs about $15,000 per employee annually
The average error rate is 1 mistake per 100 keystrokes
35% of manual journal entries contain errors
88% of finance leaders report financial losses caused by inaccurate data
These figures highlight a structural issue. When financial processes rely on manual inputs, accuracy becomes inconsistent.
In a high-volume environment, this approach does not scale. It creates fragility in the very system meant to ensure control.
The 4% Reality: Automation Without Integration
There is a clear gap between ambition and reality.
73% of finance teams plan to automate
Only 4% have fully automated Accounts Payable
The remaining majority operate in a hybrid state:
89% partially automated
7% fully manual
In practice, this means systems are not connected. Data still needs to be moved, checked, and corrected by people. Employees become the link between platforms, acting as manual “middleware.”
This is not true automation. It is fragmented efficiency.
While 40% of firms cite unclear ROI as a barrier, results from high-performing organizations show:
621% ROI over three years
Payback within 12 months
The opportunity is proven. The challenge lies in building an integrated system.
From Periodic Close to Continuous Accounting
The traditional close is periodic, reactive, and backward-looking.
A continuous close model changes the structure entirely.
Traditional Close vs. Continuous Close
Traditional Close
Happens at the end of the period
Reports are delayed by 10–15 days
Workload builds into a high-pressure rush
Error rates average around 3%
Continuous Close
Happens continuously in real time
Data is available immediately
Work is spread evenly over time
Error rates drop below 0.5%
Automation reduces close time by 30% to 40%.
Instead of resolving issues after the fact, teams monitor and validate data as it moves through the system. The close becomes a confirmation step, not a recovery exercise.
Agentic AI: From Automation to Autonomy
The next phase of transformation is Agentic AI.
Unlike traditional automation, these systems do not simply follow rules. They manage workflows, make decisions, and adapt based on context.
80% of CFOs are increasing AI investment
Financial close is expected to become 30% faster by 2028
These systems can:
Process transactions without manual input
Identify missing data and suggest accruals
Detect bottlenecks before they impact timelines
However, AI is not a fix for poor systems.
Its effectiveness depends entirely on the quality and structure of the underlying data. Without a unified foundation, AI will scale inefficiencies rather than eliminate them.
Closing the Gap: Three Strategic Priorities
Progress requires a shift from tool adoption to system design.
1. Standardize Processes First
Automation requires consistency. If workflows vary across teams or regions, automation will amplify inconsistency instead of reducing it.
2. Build a Unified Data Foundation
Disconnected systems create delays and errors. A centralized data model—often referred to as a “Commercial Graph”—connects contracts, billing, and payments into a single, reliable source.
This removes the need for manual intervention and improves data integrity.
3. Reallocate Time to Higher-Value Work
Currently, around 20% of finance time is spent preparing and cleaning data.
Automation should eliminate this burden.
That capacity can then be redirected toward:
Performance analysis
Forecasting and scenario planning
Strategic decision support
Audit Readiness: The Hidden Advantage
Automation does more than improve efficiency. It strengthens compliance.
With an automated close, organizations gain:
Continuous controls monitoring
Real-time anomaly detection
A complete digital audit trail
Instead of a reactive audit process, documentation is always available and up to date. Auditors can access information directly, reducing delays and lowering costs.
Final Thought: The Role of Finance Is Changing
This transformation is not just operational. It is strategic.
As manual work is reduced, the role of finance shifts:
From reporting past performance
To guiding future decisions
The question is no longer about speed.
Will your finance team continue explaining what happened, or start shaping what happens next?