Finance

Supporting faster, more informed finance decision-making

AI helps remove operational noise and organize finance information so teams can make decisions more quickly and with better insight across operations.

Why the human is still essential here

Humans still interpret the outputs, align decisions across teams, and choose the actions that best support finance operations and company goals.

How people use this

Collections performance summaries

AI generates concise summaries of DSO, overdue trends, and collector activity to prepare finance leaders for weekly decision meetings faster.

Tesorio / HighRadius

Natural-language variance analysis

AI lets finance teams ask plain-language questions across spreadsheets and ERP data to explain variances and speed operational decisions.

Microsoft Copilot for Finance / Excel

Scenario planning prompts

AI helps teams test forecast and working-capital scenarios quickly so they can compare options before deciding on next actions.

Anaplan / Microsoft Copilot for Finance

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AI in finance isn’t about replacing people, it’s about enabling better decisions.

AI in finance isn’t about replacing people, it’s about enabling better decisions.

In my work across AR & finance operations, I’ve seen how much time is spent on:

• Manual follow-ups

• Data cleanup

• Repetitive workflows


The opportunity? Use AI to eliminate the noise and focus on what actually drives impact.


I’ve been actively exploring ways to:


✔️ Streamline AR workflows and reduce manual effort

✔️ Improve visibility into aging, disputes, and cash application

✔️ Enable faster, more informed decision-making across teams


The goal isn’t automation for the sake of efficiency, it’s building smarter, more scalable finance operations.


The future of finance isn’t just accurate… it’s intelligent.


Curious to hear how others are leveraging AI within finance teams?

JR
Jennifer RiglerSenior Finance Executive
Apr 1, 2026