AI agents for automation: 7 scenarios

Automating Business Processes with AI Agents: 7 Practical Use Cases

AI agents streamline routine tasks by integrating with local files, cloud services, and web resources. Key platforms differ in data access:

• Claude Cowork: Runs locally on your PC with direct access to files and apps.
• ChatGPT Agent: Handles uploaded files, web search, and connectors to Google Drive and SharePoint.
• Gemini: Optimized for Google Workspace (Gmail, Docs, Sheets, Drive, Meet).
• Microsoft 365 Copilot: Integrates with Word, Excel, PowerPoint, Outlook, OneDrive, and SharePoint.

These use cases leverage prompts to process data without manual input.

Expense Processing: Receipts and Invoices

Extracting data from scans and PDFs automates expense tracking. The agent analyzes images, structures the info, and generates reports.

Prompt:

I have a folder called March_Receipts with about 30 photos of receipts and PDF invoices from this month.

1. For each document, extract: vendor name, date, total amount, payment method (if listed), and expense category (food, travel, software, office supplies, services, or other).

2. Create a summary table in March_2026_Expenses.xlsx with a row for each receipt. Add a Summary tab showing: total spend by category, overall monthly total, and comparison to our $5,500 monthly budget.

3. Flag all receipts over $600 for my review. If any are hard to read, put them in a Needs Review tab with the filename.

Result: Excel file with tables, alerts, and overview. No more manual entry errors.

Vendor Evaluation

Gathering and comparing service data speeds up tool selection. The agent researches, analyzes reviews, and delivers recommendations.

Requirements: File access + web search.

Prompt:

We need a new project management tool for our 30-person team. Requirements are in PM_Requirements.docx. Run a full vendor evaluation:

1. First, review the top 7 current project management tools and identify which match our key requirements.

2. For each viable option, gather: pricing for our team size, key features, integrations with Slack, Google Workspace, and GitHub, notable limitations from user reviews, and case studies from similar companies.

3. Create a comparison table.

4. Write a summary doc with pros/cons for each, top 3 recommendations, and next steps like requesting a demo or starting a trial.

Format everything for team review.

Output: Tables and summary for discussion, cutting research from days to hours.

Trip Planning

The agent handles logistics, bookings, and scheduling using files and external data.

Prompt:

Plan a business trip to St. Petersburg from April 13-18, 2026. Flying from Moscow.

1. Build an itinerary including: flight options from Domodedovo to Pulkovo (daytime departure April 13, evening return April 18), hotel options near Hilton Pulkovo (budget $180-$300 per night), and a daily schedule.

2. I have 3 confirmed meetings—details in Spb_Meetings.docx. Structure the itinerary around them, including travel time between locations.

3. Also find the best way from Hilton Pulkovo to Nevsky/Admiralteyskaya, 2-3 client dinner spots near the hotel, and current weather forecast for those dates.

Compile into one clean travel doc. Add a booking links section.

Ready-to-use document with itinerary and options.

Event Coordination

Full event organization: from venue scouting to budget and communications.

Prompt (excerpt): Create project folder, venue tables, agenda, budget, and email draft.

Reporting and Status Updates

Monthly Reporting

Automation aggregates data from Excel files, compares metrics, and visualizes trends.

Prompt (key sections): Executive summary, sales, marketing, support, finance with YoY and MoM comparisons.

Result: Word and PowerPoint files with alerts for variances >15%.

Weekly Team Status

Synthesizes updates from files and trackers.

• Pull from Weekly_Updates, Project_Tracker.xlsx, Support_Summary_Week8.xlsx.
• Summary, project statuses, risks, priorities.
• One-page doc + email.

Quarterly Business Review (QBR)

Generates presentation, detailed doc, and executive summary.

Prompt: Analyze Q1 files, create 20-slide PPT with notes, plan vs. actual comparisons, alerts for variances >10%.

Key Takeaways

• AI agents need precise data access: local files, cloud storage, or APIs.
• Step-by-step prompts ensure reliable results.
• Automating reports and research saves 1–3 days per task.
• Workspace/Google/Microsoft integrations simplify setup.
• Anomaly alerts (amounts >$600, variances >10–15%) boost oversight.

— Editorial Team