Agentic AI Hits R&D Workflows.
Microsoft Discovery brings agentic AI to complex workflows. Here's what multi-step AI agents mean for accounting firms, AP teams, and financial close.
Microsoft Discovery Goes GA: Agentic AI Can Now Plan, Reason, and Execute Multi-Step Workflows Without Hand-Holding
Microsoft just pushed Microsoft Discovery to general availability — a platform where AI agents don't just answer questions, they plan a sequence of steps, execute them, and loop back when something breaks. It was built for scientific R&D, but the architecture is identical to what's being deployed in financial close and AP automation right now. The firms that will feel this first are the ones still running month-end on a patchwork of Excel handoffs and email approvals — because that's exactly the workflow these agents are designed to replace. If your close process requires a human to pick up where another human left off, an agent can do that handoff cheaper and faster.
Agentic AI doesn't just fill in a form — it owns the process from trigger to completion. Your month-end checklist is a workflow. Treat it like one.The Accountants Keeping Their Seats Are the Ones Who Can Audit an AI Agent's Work — Not Just Review a Report
There's a skill gap opening up that has nothing to do with coding. Agentic systems make decisions across multiple steps, and when they're wrong, the error isn't in one cell — it's buried in a chain of automated actions that looked reasonable at each stage. The accountants who stay valuable are the ones who can reconstruct that chain, spot where the agent's assumption diverged from business reality, and document it for audit purposes. Think of it like reviewing a junior staff member's work, except the junior never gets tired and never asks for clarification when it's confused. Start building that habit now: when AI produces an output, trace it back two steps before you sign off.
Stop reviewing AI outputs like they're finished work. Review them like you're the senior on a file prepared by someone who never escalates.Microsoft Discovery: Multi-Step AI Agents Built for Complex, Document-Heavy Processes — Which Is Exactly What Financial Close Is
The business problem it solves: you have a process with fifteen steps, conditional logic, and handoffs between systems — and right now a human is manually managing the state of that process in their head or on a tracker spreadsheet. Microsoft Discovery provides the scaffolding for AI agents to manage that state instead, with reasoning built in so the agent can handle exceptions rather than just stopping. For accounting firms, the immediate applications are AP exception handling, reconciliation workflows where data comes from multiple sources, and client onboarding that touches both ERP data and document intake. It's available now inside the Microsoft ecosystem, which means if your clients are already on Azure or M365, the infrastructure barrier is lower than you think.
If your firm runs on Microsoft infrastructure, the agentic layer is already closer to your stack than any third-party point solution. Worth a serious look before you buy something else.The Billable Hour for Month-End Support Work Is Not Declining — It's About to Cliff-Edge
Gradual erosion is not what's coming for routine close and AP support work. The shift from single-step AI to agentic AI means the bottleneck just moved from 'can the AI do this task' to 'can someone set up the workflow once.' A firm that used to bill 40 hours a month supporting a client's AP process will watch that compress to 8 hours of oversight and exception review — not over three years, but inside one contract renewal cycle. We already saw this with bank feed reconciliation when it moved from manual to automated in accounting software; the work didn't gradually shrink, it fell off a cliff once the client saw the invoice. Agentic AP is the next cliff.
Your clients are one implementation away from not needing the hours they're currently paying you for. You should be the one telling them that — and selling them what comes next.