Maud Avevor, a recent graduate of Kwame Nkrumah University of Science and Technology with a Bachelor of Science in Actuarial Science, is emerging as an advocate for transforming finance back office operations through intelligent automation.

With a strong foundation in quantitative analysis and risk assessment, Avevor is advancing the case for organizations to move beyond manual, error-prone processes toward automated systems that strengthen financial controls and ensure audit readiness.

The finance back office has long been characterized by repetitive, labor-intensive work. Invoice processing, transaction categorization, reconciliations, and report generation consume countless hours while creating vulnerability to human error and audit findings.

Avevor argues that this approach is increasingly unsustainable in a regulatory environment where compliance expectations are rising, and audit scrutiny is intensifying.

"Organizations are spending enormous amounts of time and resources on manual processes that should be automated," Avevor explains in an interview with reporters after the graduation last Friday. "Every manual step is a potential point of failure. Every spreadsheet-based workflow introduces risk. The finance teams I speak with are overwhelmed by routine administrative tasks when they should be focused on analysis and strategic insight. Automation is about building a finance function that can withstand rigorous audit scrutiny."

Avevor's background in actuarial science provides a unique perspective on risk and control. The discipline emphasizes quantifying uncertainty and building robust frameworks to manage exposure, principles directly applicable to financial operations. Where manual processes breed inconsistency and create audit risk, automated systems establish standardized workflows with built-in controls and complete audit trails.

She advocates for a systematic approach to back office transformation. Rather than attempting wholesale replacement of legacy systems, Avevor recommends organizations identify high-impact, high-error-prone processes as priority automation targets.

Invoice processing, for instance, represents an ideal starting point. Automation can extract data from invoices, validate against purchase orders, categorize expenses correctly, and flag exceptions, all with minimal human intervention and complete documentation for auditors.

"Automated processes create accountability," Avevor states. "When tasks are performed by standardized systems with clear logic and complete logging, auditors can see exactly what happened, when it happened, and why. That transparency strengthens the organization's audit position significantly. Manual processes, by contrast, create ambiguity. Auditors find inconsistencies, lack of documentation, and unanswered questions."

Reconciliation represents another critical area where automation delivers substantial benefit. Monthly bank reconciliations, intercompany account reconciliations, and accrual reconciliations are traditionally manual exercises prone to error and consuming significant time.

Intelligent automation handles these tasks systematically, flagging discrepancies and resolving routine differences automatically while escalating genuinely problematic items for human investigation.

For organizations building stronger, audit-ready finance functions, Avevor's message is that automation is essential infrastructure for modern financial operations.

The firms investing in automated back-office processes now are building competitive advantages through lower error rates, faster close cycles, stronger compliance posture, and the ability to redirect finance talent toward higher-value activities.