AP Predictions (Part Two): From Automation to Intelligence, Building the AP Function of the Future

AP Predictions (Part Two): From Automation to Intelligence, Building the AP Function of the Future

Ardent Partners has spent two decades tracking how the Accounts Payable function has evolved, and publishing its annual Accounts Payable: Big Trends and Predictions research to help AP and finance leaders prepare for what’s ahead.

We now turn attention to the AP predictions portion of our article series. This year’s research presents a host of potential predictions that could impact the AP and finance functions. Leaders in both functions should have these predictions on their radar in the months ahead.

From Automation to Intelligence, Building the AP Function of the Future

Accounts Payable has spent years pursuing automation to reduce manual effort and improve accuracy. That journey is now entering a new phase. The conversation is shifting from automation alone to intelligence, autonomy, and orchestration. Artificial intelligence (AI), particularly agent-driven capabilities, is redefining what is possible in AP. Yet the path forward requires balance, discipline, and realistic expectations.

One of the most important predictions for the coming years is the emergence of internal experimentation models, sometimes described as AI garages. Instead of waiting for long enterprise IT cycles, some finance teams are creating controlled environments to pilot new tools, test use cases, and learn quickly. These initiatives operate within governance frameworks and under AI policies, but they allow business users to move faster. For AP, this can be a powerful way to explore invoice processing enhancements, supplier communication tools, and predictive analytics without disrupting core systems. The rationale behind this approach is clear. Technology cycles are moving faster than traditional project timelines. If AP waits for perfect alignment with every enterprise upgrade, it risks falling behind. A dedicated experimentation capability lets teams pressure test solutions in isolation before broader deployment. It also builds internal knowledge and confidence.

At the same time, leaders must guard against what can be called the productivity mirage. Early automation gains can create pressure to reduce headcount quickly in pursuit of cost savings. While efficiency is valuable, overcorrecting can be risky. AI cannot fully replace institutional knowledge, nuanced judgment, or relationship management. Supply chain disruptions, regulatory questions, and stakeholder negotiations often require human experience. Forward-thinking organizations are more likely to reinvest efficiency dividends rather than simply cutting staff. They expand AP’s scope into areas like tariff tracking, compliance monitoring, and fraud prevention. They allow teams to focus on higher-value work that protects the enterprise. This approach recognizes that the world is becoming more complex, not simpler. A capable AP team is an asset in managing that complexity.

Within AP, several areas are undergoing an evolution that cannot be overlooked if security, efficiency, and engagement are critical: which they should be.

Fraud. Fraud is a prime example. Attacks are growing more sophisticated and more frequent. Technology can help detect anomalies and flag risks, but tools alone are not sufficient. Organizations need skilled people who understand patterns, controls, and escalation paths. As a result, some AP groups are likely to see growth in fraud-related roles. Building a layered defense that combines systems, policies, and expertise is becoming a necessity.

B2B payments. Another area of ongoing evolution is B2B payments. While digital methods continue to grow, paper checks still represent a meaningful share of payment value. The journey toward fully electronic payments is progressing, but not complete. AP plays a central role in supplier enablement, payment strategy, and adoption. Each step away from paper improves visibility and control, but it requires sustained effort and supplier collaboration.

Workforce skills. Talent strategy must evolve alongside technology. As routine data entry declines, the need for analytical, technical, and communication skills rises. The traditional data clerk role is shrinking. In its place are roles focused on system oversight, analytics, compliance, and supplier interaction. Reskilling becomes critical. Training programs, cross-functional exposure, and career pathways can help existing staff adapt. This not only preserves knowledge but also supports engagement. Importantly, human oversight remains essential. AI recommendations must be reviewed, especially in high-risk situations. Cash management and risk decisions carry consequences that demand accountability. The future AP team is therefore smaller in purely transactional work but stronger in judgment and analysis.

Organizations that manage this transition thoughtfully can capture significant benefits. They gain efficiency without losing resilience. They build a workforce capable of handling both technology and complexity. They also position AP as a forward-looking partner in finance.

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