Daily flash reports, expense triage, board-prep packets — drafted before the standup.
Pulls data from your accounting, FP&A, and warehouse, drafts the commentary, and posts the daily flash, weekly review, and monthly close packet on schedule.
Flash report posted. Today's highlights:
Meeting notes
- • Cash on hand: $4.82M · runway 19 months at current burn.
- • AR > 60 days: $312K (3 customers) — ops working it.
- • AP cleared: $148K (Stripe + AWS + payroll).
How does OpenAI (ChatGPT) work for finance teams?
OpenAI (ChatGPT) works for finance teams as the engine behind an Arahi AI agent built around the workflows that actually consume your week. The agent reads context from OpenAI (ChatGPT) and the other systems your finance operation depends on, runs the routine work in the background, and surfaces only the cases that need a human decision. Automate repetitive tasks and free up your finance team to focus on high-value strategic work. Teams typically see dramatically faster document processing once the agent is in production. Setup is no-code, every action is auditable, and the agent is scoped to the rules your finance team defines — not a generic template applied to your business.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the meeting transcript end-to-end
- 2Extract decisions, commitments, and next steps
- 3Update the deal record and advance the stage if criteria met
- 4Notify the right teammate with the relevant context
Get started in three steps
Connect OpenAI (ChatGPT)
Authorize OpenAI (ChatGPT) in your Arahi AI dashboard. The secure connection takes less than 60 seconds.
Configure Your AI Agent
Set up triggers, actions, and conditions specific to how your team uses OpenAI (ChatGPT). For finance teams, this typically means routing workflows from tools like QuickBooks alongside OpenAI (ChatGPT).
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
Cash on hand: $4.82M · runway 19 months at current burn.
Action items extracted; assignees notified in Slack.
Three deals moved to next stage; risks flagged for the AE.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Agent2:47 PM
Updated Sheets · Daily flash with the meeting outcome.
- Agent2:46 PM
Advanced deal stage; the criteria for Proposal were met.
Reason: Budget confirmed and decision-maker identified per stage definition.
- Agent2:45 PM
Wrote meeting notes for Flash report · Mar 10 EOD.
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
Frequently asked questions
QuickBooks, Xero, NetSuite, Sage Intacct, Microsoft Dynamics, plus FP&A tools (Mosaic, Cube, Pigment, Anaplan) and your data warehouse.
It applies the forecast you've defined and surfaces variance commentary. It doesn't replace your FP&A team's judgment on assumptions.
Per-user permissions on which metrics each person can ask about. Sensitive data (comp, cap table) requires elevated access.
It drafts the monthly board packet from your numbers, applies your template, and writes the commentary in your CFO's voice. Board members see what they expect.
Yes — Slack DM the agent ("what's our gross margin trend YTD?"), and it pulls the answer from your data with a citation. No waiting on a finance analyst for routine questions.
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