Azure Cost and Usage Monitor
Automatically fetches Azure resource and cost data via n8n to generate daily reports on total spending and top expensive resources.
Afternoon (est.) AI workflow
This directory currently includes 20 recipes for finance and accounting, across 11 workflow patterns. It shows the range of work covered today, while making it easy to see where your own process needs a more specific build. Finance and accounting teams deal with structured records, recurring deadlines, and work that needs an audit trail. The recipes in this collection focus on the practical edges of that work: extracting information from documents, preparing reconciliations, organizing expense data, monitoring deadlines, and sending exceptions to the person who can resolve them. An agent is especially useful when it can turn a messy input into a reviewable draft or detect something worth checking. It is not a substitute for controls, approvals, or professional judgment. The examples are therefore best read as workflow components: define the source data, specify what should be validated, and make the handoff explicit. Start with a process that already has a known checklist and a human reviewer, then measure whether the agent reduces the time spent assembling the first pass.
Automatically fetches Azure resource and cost data via n8n to generate daily reports on total spending and top expensive resources.
Every six hours, the system fetches gold prices, news, and macro data to generate an AI-powered forecast report with confidence metrics.
Monitors tax RSS feeds to auto-generate compliance checklists with priorities and timelines in Google Sheets.
Daily checks of Companies House filing deadlines send colour-coded urgency emails to your team with a clickable confirmation audit trail.
New e-commerce orders are automatically scored for refund risk by an AI agent that logs results to Sheets and alerts teams via Discord or...
Every five minutes, the agent checks bank transactions for risk, logs results to Google Sheets.
Monitors revenue streams for tax anomalies using triple AI validation.
Weekly agent fetches revenue data, uses OpenAI to detect anomalies and categorize entries, then emails compliance reports to tax agents.
New Sabre EDI files in Drive? The agent parses them using RAG context to generate structured AR and tax reports automatically.
Batches SSM numbers or NRICs from your spreadsheet to retrieve Tax ID Numbers for e-invoicing compliance.
Monitors Google Drive for new PDF invoices, uses AI to classify expenses and generate XML.
Send an invoice photo to your LINE bot and the agent extracts key fields into a Google Sheet ledger automatically.
Ask ops or finance questions; the agent queries live records, runs Python analysis, and returns tailored insights.
Receives new client onboarding data via webhook, validates it, queues it in RabbitMQ, and sends a formatted Gmail alert to the team.
When an expense is approved in Airtable, the agent creates the record in QuickBooks, uploads the receipt, and marks it as done.
Monitors Gmail for invoice PDFs, validates them against POs and tax rules via AI, logs audits in Notion, and alerts Slack on pass or fail.
Automatically reconciles expenses with revenue data, optimizes tax deductions via IRS rules.
Automates monthly revenue checks across Stripe, PayPal, and banks to flag mismatches and archive audit reports.
Every Monday at 08:00, it aggregates Stripe revenue, Notion pipeline.
Submits KYC details via form to AI for instant risk classification.
Nothing matches those filters
An AI agent can extract invoice data, organize expenses, prepare reconciliations, monitor deadlines, flag exceptions, and generate draft reports. It should support existing controls instead of bypassing approvals.
They can capture invoice details, match them to known records, and route exceptions for review. Payment approval, tax treatment, and final posting should follow the controls your organization already uses.
It can be, if you choose appropriate tools, limit access, protect sensitive data, log actions, and keep human approval for consequential changes. Assess the workflow against your security and compliance requirements before deployment.