Bedrock Acquires Procoto to Revolutionize Procurement Processes and Enhance Enterprise Supplier Management Capabilities.
As automation and AI change the landscape of AP and supplier management, one thing remains constant: compliance is only as strong as the data that supports it. Compliance is a core function of risk management, data governance, and enterprise strategy. For finance and AP executives, maintaining clean supplier and AP data is a compliance imperative that underpins everything from fraud prevention to audit readiness.
Financial compliance has changed dramatically. Organizations now face heightened scrutiny from regulators, auditors, and internal stakeholders, all of whom are expecting transparent and traceable data. What used to be a back office burden is nowa strategic differentiator, signaling operational discipline and resilience.
Still, the foundation of every control (whether tied to SOX, FCPA, or GDPR) is data integrity. Even the most robust control frameworks can fall when supplier records contain inaccuracies, missing tax IDs, or outdated banking details.
A 2024 study by Basware found that 68% of organizations experienced at least one attempted fraud in their AP function within a 12-month period, underscoring how data lapses directly expose businesses to risk.
Supplier and AP data errors usually originate from fragmented systems, manual data entry, and weak change controls. Although small in isolation, these errors can cascade into serious compliance breaches.
According to a report by Eftsure, up to 20% of vendor master records in a typical enterprise contain inaccurate or incomplete data.
When this data feeds directly into financial reporting systems, the downstream effects are substantial:
As you can see, weak supplier data governance is a compliance liability with measurable financial impact.
Today’s compliance frameworks depend on continuous data validation and automation to close the gap between manual oversight and real time accuracy. Automated controls can now monitor 100% of transactions, not just sample based audits, and flag exceptions as they occur.
However, the automation layer is only as effective as the data it processes. The Costbits Insights report found that 88% of manually processed AP documents contain errors, often due to incomplete or mistyped data.
Automation can eliminate much of this human error but pairing it with human review ensures contextual accuracy, especially for exceptions involving vendor terms or cross entity transactions. The result is a compliance model that is both proactive and adaptive.
Technical enablers of strong compliance include:
When integrated, these controls ensure governance, reduce risk, and enable full visibility across the AP ecosystem.
For executives, compliance success should be quantifiable. Key metrics include:
A 2024 study by Veridion found that 82% of organizations are not confident in the accuracy of their supplier data, leaving significant exposure across reporting and audit functions. The ROI of clean data is tangible- fewer compliance incidents, faster audits, improved transparency, and stronger vendor confidence.
The path to data driven compliance involves four core stages:
Governance frameworks should be dynamic- adapting to new regulations, evolving supplier ecosystems, and emerging fraud risks. This continuous improvement loop is what differentiates mature, compliant organizations from reactive ones.
Compliance, when powered by clean data and automation, becomes a strategic advantage.
By prioritizing data integrity, finance leaders reduce audit friction and regulatory exposure and strengthen operational trust across the organization and its supplier network.
At Bedrock, we believe that true compliance doesn’t come from checking boxes- it comes from building systems that are inherently trustworthy. Through automated validation, human oversight, and continuous monitoring, AP and supplier compliance evolves from burden to value creator.