> Source URL: /business.guide
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title: "Prompt Engineering for Business & Accounting"
description: "How firms are rewiring their operations around LLMs — and what you could build with them in this course."
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# Prompt Engineering for Business & Accounting

The firms you'll work for are already rewriting their workflows around AI. Analysts, accountants, and operators who can actually _build_ with these tools — not just use ChatGPT — are the ones moving fastest.

## Where this is showing up in Business & Accounting

- [Harvey](https://www.harvey.ai), [Hebbia](https://www.hebbia.com), and [AlphaSense](https://www.alpha-sense.com) are embedded in major law firms, banks, and consultancies — handling deep research, due diligence, and first-draft analysis.
- Enterprise search tools like [Glean](https://www.glean.com) and [Microsoft Copilot](https://www.microsoft.com/en-us/microsoft-copilot) are plugging LLMs directly into Slack, SharePoint, Salesforce, and email inboxes.
- [Bloomberg GPT](https://www.bloomberg.com/company/press/bloomberggpt-50-billion-parameter-llm-tuned-finance/) and the Big 4 (Deloitte, PwC, KPMG, EY) are publishing domain-specific models and AI-audit frameworks.
- ERP and finance platforms — [SAP Joule](https://www.sap.com/products/artificial-intelligence/ai-assistant.html), [Workday Illuminate](https://www.workday.com/en-us/artificial-intelligence.html), [NetSuite Next](https://www.netsuite.com/portal/platform/ai.shtml), [Intuit Assist](https://www.intuit.com/ai/) — are shipping LLM features natively into the tools your future employer already runs on.

## Projects you could build in this course

- An AI assistant that drafts financial analysis from quarterly reports
- A RAG chatbot trained on internal policies, contracts, or SOPs
- An automation that triages inbound emails or client requests

[← Back to Thinking With Machines](./index.path.md)


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## Backlinks

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- [Business & Accounting](/index.path.llm.md)