This is an original InlineTech guide, not a news report. Your requirements may differ; use it as a starting point for a discussion.
Start with the work, not the tool
Look for a task your team repeats often: finding answers in internal documents, summarizing a request, or moving information between systems. Write down how the task works today, how much time it takes, and where mistakes occur. That gives you a useful starting point for deciding whether AI will help.
Keep the first project small
Choose one workflow and a limited group of users. Use representative examples and agree on a baseline before the pilot. Compare the result with your current process using time saved, accuracy, and the effort needed to review the output. A useful pilot should make the next decision easier.
Be careful with business information
Review the provider’s terms, data retention settings, and access controls before uploading confidential information. Health records, financial information, and legal documents require particular care. Keep sensitive material out of an unapproved tool, and involve the people responsible for your privacy and security obligations.
Give people the final say
AI output can be wrong even when it sounds confident. Decide which results need human review and who is responsible for that review. Train your team to check important facts and recognize when to return to the original source. The aim is better work, with accountable people still in charge.