Glossary

An AI workflow is a structured process where artificial intelligence is embedded into each step of a financial or operational task, from data extraction and verification to reconciliation and reporting. Instead of automating isolated actions, AI workflows connect entire sequences of work, creating continuous, intelligent processes that evolve with data and human feedback.

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In finance, AI workflows redefine how teams handle repetitive and data-heavy operations. They allow companies to go beyond traditional RPA or macros by integrating advanced capabilities such as OCR, data classification, and contextual decision-making. For example, Phacet’s AI workflows enable finance teams to automate invoice control, supplier reconciliation, and bank matching, all within a secure, auditable environment that preserves full human supervision.

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Each workflow built in Phacet connects seamlessly with existing tools like ERPs, CRMs, and shared inboxes, ensuring that automation strengthens, not replaces, the current financial stack. From 3-way matching to cash reconciliation or contract analysis, every agent can operate autonomously while remaining traceable and explainable.

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Ultimately, AI workflows represent the evolution of enterprise automation: adaptive, compliant, and transparent. They empower finance teams to shift from manual execution to strategic supervision, scaling operational efficiency while keeping human expertise at the core of every decision.