Once a team decides to use AI, the next question is where to start. The best first projects share a few traits: the work is frequent, it follows a recognizable pattern, it involves reading or writing text, and a mistake can be caught before it causes harm.

Here are eight processes that often fit that profile, along with what to watch out for in each.

1. Sorting and routing incoming requests

Emails, support tickets, and form submissions arrive in one pile and need to reach the right person. AI can read each message, identify the topic, urgency, and language, and route it accordingly.

  • Why it works: high volume, clear categories, and a wrong route is easy to correct.
  • Watch for: messages that fit several categories. Give the system an "unsure" option that sends them to a person.

2. Answering common questions

Many questions from customers or employees have answers that already exist in documentation. An assistant grounded in that content can respond instantly and point to the source.

  • Why it works: repetitive questions, existing knowledge.
  • Watch for: outdated or conflicting documents. Clean up the source content first.

3. Extracting information from documents

Invoices, contracts, applications, and forms contain details that someone usually types into another system. AI can read the document, pull out the relevant fields, and prepare them for review.

  • Why it works: tedious manual work with a clear correct answer.
  • Watch for: unusual layouts and poor scans. Keep a review step for anything that affects money or legal obligations.

4. Summarizing long content

Meeting notes, call transcripts, long email threads, and reports can be condensed into short summaries with key decisions and next steps.

  • Why it works: saves reading time across the whole team.
  • Watch for: summaries that miss nuance. Link back to the original so people can check details.

5. Drafting first versions

Replies to customers, product descriptions, proposals, job posts, and internal updates often start from a blank page. AI can produce a solid first draft in your tone for a person to refine.

  • Why it works: the human stays in control, and the time saving is immediate.
  • Watch for: drafts that sound generic. Provide examples of your best writing and a clear style guide.

6. Qualifying and enriching leads

When a new lead arrives, someone usually researches the company, checks fit, and decides on the next step. AI can gather public information, summarize it, and suggest a priority.

  • Why it works: faster response to the leads that matter most.
  • Watch for: inaccurate research. Have the system show where each piece of information came from.

7. Preparing reports

Weekly or monthly reports often involve collecting numbers from several tools and writing a short commentary. Automation can gather the data, and AI can draft the narrative around it.

  • Why it works: predictable structure and a regular schedule.
  • Watch for: numbers in the text that do not match the source. Generate figures directly from the data rather than letting the AI write them freely.

8. Checking content against rules

Marketing copy against brand guidelines, documents against required clauses, or submissions against a checklist: AI can flag likely issues for a person to review.

  • Why it works: consistent first-pass review that frees experts for the hard cases.
  • Watch for: false confidence. Treat the output as a list of things to check, not a final approval.

How to choose your first project

Score each candidate process from 1 to 5 on four questions:

  1. Volume: how often does it happen?
  2. Pain: how much time or frustration does it cause today?
  3. Pattern: how similar is each instance to the last?
  4. Safety: how easily can a mistake be caught before it matters?

The process with the highest total is usually the right place to start. Ideally, pick something visible enough that the result builds support for the next project, but contained enough that it can launch quickly.

Start small, then connect

Each of these processes delivers value on its own. The bigger gains come later, when they connect: a request is routed, answered or drafted, summarized for the team, and reported on automatically. Getting one piece working well is the foundation for the rest.

If you would like help identifying which of your processes are the best candidates for AI, we are happy to map them out with you.