AI in your company: five places where it actually works
No hype. Five concrete scenarios where AI has real ROI today — and where it doesn't.
When we talk to clients about AI, we usually meet one of two stances. Either “AI is hype and I don’t trust it”, or “AI will solve everything”. The truth is boring: today’s AI solves a narrow set of tasks very well. Let’s go through that set.
1. Triaging and processing inbound communication
Emails, chats, voice messages. LLMs reliably classify message type, urgency, sentiment and draft replies. Cuts support time by 30–60% with nobody losing their job.
2. Extracting data from documents
Invoices, contracts, technical documentation. Structured data out, validated against existing fields. Accounting teams adopted this first.
3. Searching your own knowledge base
Instead of “where was that thing again” — a question in plain language and an answer with a source citation. Works great over Notion, Confluence and shared drives.
4. Generating first drafts
Not final drafts. Not for publishing without review. But “give me 5 opening paragraphs” cuts writing from hours to minutes.
5. Pair programming
Developers who refuse Copilot or Claude Code are leaving 30–50% of their productivity on the table compared to those who use them thoughtfully. Full stop.
Where it doesn’t work (don’t kid yourself yet)
- Anything where you can’t afford to lie. Legal drafting, medical diagnosis, financial advice without a human in the loop.
- Long autonomous tasks. An agent that runs unsupervised for three days. Not there yet.
- Replacing the client relationship. People still want people.
If you’re curious where AI specifically could help in your company, let’s set up a call. The audit is free.