Accounts Payable (AP) is a game of timing. The stack of uncleared invoices on a company’s balance sheet is waiting to be paid, on time, but not too early. Because, premature payments disrupt cash flow and impact short-term financial health. Rising payables indicate an increased reliance on credit, while declining payables suggest the firm is clearing old debts faster than it is incurring new ones. Both extremes reflect operational inefficiency. Therefore, achieving optimal AP function is critical.
While settling invoices sounds simple on paper, execution involves multi-step verification and reconciliation. Generative AI (GenAI) brought relief to accounting departments with its intelligent data interpretation capabilities, but it remained fundamentally reactive — extracting invoice details, flagging discrepancies, answering queries, drafting correspondence and surfacing insights — only generating outputs.
By contrast, Agentic AI adds autonomous execution and decision-making capabilities to automation. It sets independent micro-goals, sequences multi-step workflows and executes transactions directly across enterprise Enterprise Resource Planning (ERP) and accounting software. The result is end-to-end orchestration of the AP workflow with minimal human intervention.
The shift that Agentic AI brings
- End-to-end exception resolution
- Cash flow optimisation
- Autonomous multi-way matching
- Invoice verification and data integrity
- Dynamic approval routing and compliance monitoring
- Autonomous supplier query management
Agentic AI identifies the why behind a process bottleneck and automatically triggers workflows to fix the problem. If, for example, an invoice is blocked due to missing information, it automatically initiates the workflow to obtain it. Likewise, if a purchase order (PO) needs a manager’s sign-off, it emails the purchasing department to get the approval.
Cash flow is key to every facet of business operations. As business magnate Richard Branson, co-founder of the Virgin Group, stresses, “Never take your eyes off the cash flow because it’s the lifeblood of business.”
Agentic AI acts like a financial strategist. It prioritises invoice payments based on payment terms, early-payment discounts, vendor relationships, risk exposure and cash-flow forecasts drawn from your accounting system — adjusting strategies dynamically based on time of year and cash position. This ensures companies do not drain day-to-day reserves.
It is important that a company only pay for authorised, delivered and acceptable goods. Agentic AI dons an internal auditor’s cap to make sure this happens. It automatically retrieves data from POs and goods receipts (GRs) across ERP systems and reconciles them against invoices through three-way matching. If it detects minor price or tax discrepancies within predefined tolerance thresholds, it resolves and corrects them autonomously without human intervention.
Payment must be made to the right vendor. Agentic AI verifies all requisite vendor details: Is the vendor active? Are the banking details correct? Does the tax ID match? Is the vendor debarred or flagged for compliance issues? Does the address align with registration data? It catches mismatches humans would miss, ensuring nothing moves forward unless everything is verified.
Approvals are an integral part of AP processes. Agentic AI negotiates approvals across departments using dynamic routing based on availability, urgency and approval thresholds. It monitors compliance thresholds proactively and alerts teams only when intervention is essential, reducing approval bottlenecks while maintaining control.
Delayed vendor response can impact vendor relationships. Agentic AI acts like a 24/7 helpdesk, monitoring vendor inbox, reading incoming queries, looking up live payment status in the ERP database and replying to vendors — all without human help.
Together, they transform
The real value emerges when GenAI and Agentic AI work together, with GenAI creating context-aware communication, and agentic AI driving autonomous execution. This approach closes the operational gaps in AP processes.
Consider an invoice missing a PO reference: the agent identifies the issue, retrieves supplier records and prompts the generative layer to draft a request for the missing information. Once the supplier responds, the agent validates the PO, reconciles the invoice and posts it automatically to the general ledger. The system then updates the vendor payment schedule and notifies the finance team of the cleared exception.
Neither tool achieves this alone. The agent handles execution; the generative layer ensures human-like interactions. The result is a self-correcting process.
The next chapter of AP automation is here
Finance teams deploying Agentic AI report measurable outcomes: processing costs have dropped from $12.88 to as low as $2.78 per invoice — a 78% reduction. Organisations see Return on Investment (ROI) within the first two months, though full adoption depends on ERP architecture and integration scope.
The shift is fundamental: from reactive assistance to autonomous execution. AP specialists move from manual processing to exception handling, vendor management and policy refinement. Technology handles the routine work; humans handle judgment calls.
For enterprises still operating on manual or partially automated AP processes, the business case is clear. The conversation around Agentic AI has moved from feasibility to execution.
How Infosys BPM can help
Infosys BPM's finance and accounting services bring Agentic AI to life. We deliver autonomous AP solutions through intelligent automation and real-time analytics, giving finance teams immediate visibility into payment status and cash flow. We embed a three-tiered compliance model to ensure regulatory precision across global operations. Our future-ready AP solution frees your teams to focus on strategic priorities.
