Many organizations are interested in AI, but interest alone does not reduce costs or improve customer service. The businesses seeing practical results are starting with a simpler question: which repetitive process is slowing people down today?

Finding the right first opportunity can help leaders build confidence, demonstrate value, and create a sensible foundation for broader automation.

Start with friction, not technology

Look for work that happens frequently, follows a recognizable pattern, and requires people to copy information between systems. Common examples include approving invoices, responding to routine customer inquiries, preparing reports, processing employee requests, and following up on overdue tasks.

Talk with the people who perform these activities every day. They can usually identify where time is lost, where errors occur, and which steps create unnecessary delays. A process that seems minor to executives may consume hundreds of hours across a department each year.

Choose a process with measurable value

A strong automation candidate has a clear baseline. Before making changes, record how long the process takes, how often it occurs, how many people are involved, and what mistakes or delays result.

For example, an operations team may spend 15 minutes reviewing and routing each supplier invoice. If it handles 1,000 invoices a month, that represents 250 hours of administrative effort. Automating intake, basic checks, and routing could return much of that time to the team while reducing misrouted approvals.

Measurement also prevents unrealistic expectations. The goal may not be to eliminate a role. It may be to help employees focus on vendor relationships, customer issues, or higher-value analysis.

Use the tools you already own

Many companies can begin with capabilities already included in their business software. Microsoft 365 users, for instance, can combine Outlook, SharePoint, Teams, Power Automate, and AI features to capture requests, summarize information, trigger approvals, and notify the right people.

A customer service request sent by email could be classified, logged in a shared system, assigned to an employee, and monitored for response deadlines. People remain responsible for judgment, while automation handles the handoffs and reminders.

Build controls into the first project

Automation should make work faster without making decisions less accountable. Define who owns the process, which information the system may use, and when a person must review an AI-generated result. Keep an audit trail for approvals and provide an easy way to correct errors.

Start with a limited pilot, compare results with your baseline, and gather employee feedback. If the process saves time, improves accuracy, or speeds customer response, expand it carefully.

Your next step: Ask each department leader to name one repetitive process that frustrates employees or delays customers. Estimate its monthly cost, select the strongest candidate, and run a small, measurable pilot within the next 30 days.