The "Monday Morning" AI Plan for CFOs

Problem: Your AP inbox is a disaster of PDF invoices and "Where is my payment?" emails.

Solution: Use ChatFin's Agents to connect to the inbox. It ingests the PDF, drafts the ERP entry, and replies to the vendor status update automatically. Time to deploy: Hours, not months.

Problem: Building a new dashboard in PowerBI takes 2 weeks.

Solution: Connect a read-only AI agent to your latest GL dump. Allow controllers to ask, "Show me all travel expenses over $5k in Q3." It enables instant curiosity.

Problem: Compliance is a quarterly panic.

Solution: Run continuous background rules (e.g., "Flag any PO created *after* the invoice date") using AI. It turns compliance into a default state.

With AI, roles in finance are blurring. An analytics tool deployed for the Controller's office to catch duplicate payments might also yield the variance insights needed by FP&A.

Don't stay in your silo. Explore technology that supports broader finance functions. The best first steps are often cross-functional.

You can't use AI if you don't know where your data lives. Spend 1 hour mapping your "Digital Basement." Ask: Where are the PDF invoices? (SharePoint? Email? ERP attachments?). Is the bank feed live or CSV upload?

The goal is to identify one clean dataset. If your AP data is messy, but your Payroll data is structured third-party usage, start your AI journey with Payroll analytics.

Absence of policy creates paralysis. Leaders wait for a "Perfect Policy" while staff secretly uses tools. Post a "Version 0.1" AI Policy by noon with three simple rules:

• Never put PII or customer names into a public model.
• You are responsible for every word the AI outputs (Human in the Loop).
• If you find a prompt that saves 1 hour, you must share it in the team chat.

The best person to lead AI isn't the developer; it's the bored Senior Accountant who is great at Excel macros. Look for the person who hates repetitive work—laziness (efficiency-seeking) is a virtue here.

Give this person 5 hours a week of "No Deliverables" time regardless of their title. Their only job is to research tools to automate their own workflows, becoming your internal case study.

Build a habit of checking AI feasibility. Before starting any new task on Monday (writing an email, analyzing a variance, creating a slide), pause for 5 minutes and ask: "Can an AI do the first draft of this?"

Even if the answer is "No" 90% of the time, the habit ensures you catch the 10% where the answer is "Yes," creating compounding time savings over the year.