Where AI actually creates business value.

The useful question is not “can we use AI?”

Look for places where the team repeatedly turns existing information into the next action. If the inputs and next step are clear, AI may be able to remove the reading, sorting, or drafting in between.

Look for information-heavy bottlenecks.

AI is strongest when the work involves language, documents, tickets, emails, notes, spreadsheets, or records from business systems. It can read across messy inputs, find the relevant parts, organize them, and prepare a useful output for a person or system.

• Sales teams qualify inbound requests and route them to the right person.
• Operations teams turn emails, forms, and spreadsheets into structured tasks.
• Finance teams extract details from invoices and compare them to purchase data.
• Support teams summarize account history before drafting a response.
• Professional service firms review intake documents before assigning work.

AI does not need to replace the decision.

In many businesses, the highest-value design is human-in-the-loop. AI prepares the work, flags exceptions, drafts the response, or recommends the next step. A person still approves, edits, or decides. This is often safer, easier to adopt, and more valuable than trying to make a system fully autonomous on day one.

Our SaaS business, Intervals, gives us both kinds of examples in production: customer-support tickets are handled by AI from intake through resolution, while lead tracking, deployments, workload planning, and financial analysis run through automated workflows.