How Small Businesses Can Use AI to Handle Customer Support Without Losing Control

What changed

At TechCrunch Disrupt in October 2026, Replit's CEO Amjad Masad described how his company now handles support requests. When a ticket arrives, an AI agent first looks through the company's own records, such as its code, bug reports and internal tickets, and assembles the context. By the time a person sees the case, the background work is done, and the employee decides what to tell the customer and whether a fix is needed. Masad described this as part of what he calls a "self-driving company", and TechCrunch reported him saying that human judgment stays in the middle of the process.

The honest nuance

Replit is a software company with engineers, internal tools and a lot of structured data for an agent to search, and the description comes from its own CEO on a conference stage, not from an independent review of how well it works. A small business will not copy this setup directly. The useful part is the division of labor: AI prepares, a person decides. That is a different thing from letting a chatbot answer customers on its own, where a wrong answer, such as an invented policy or a promised refund, reaches the customer before anyone has checked it.

Why it matters for your business

In a small business, support usually lands on the owner or one or two people, and a lot of the time goes into looking things up: the order, the earlier emails, the return policy, what was promised last time. That preparation is exactly the kind of work AI handles reasonably well, and the risk of a bad reply reaching a customer is low because nothing goes out until you read it. The customer information you feed the tool is a separate risk, which the steps below cover. The decision part, such as approving a refund, making an exception or admitting a mistake, carries money and trust, and it is the part to keep with a person.

What to actually do

Pick your three most common support questions and write down where the answer lives for each: an order system, a policy page, past emails. Use an approved AI tool whose terms you have checked allow customer information, ideally a business plan that does not use your data for training, and give it only what it needs for the reply, leaving out payment details, full addresses and anything sensitive. Have it draft replies from that information, and make one rule clear: nothing goes to a customer until a person has read it and clicked send. Do not give the tool the ability to issue refunds, change orders or promise anything on its own. After a month, look at how many drafts you sent unchanged and how many you had to fix, and use that to decide whether it is actually saving you time.

From Kindloom Labs

If you are not sure which support tasks are worth handing to AI first, the free AI Use Case Finder Worksheet walks through how to spot repetitive, low-risk work worth trying.

Sources

• Replit's CEO says the future of work is the 'self-driving company' (TechCrunch)
• Replit sends support cases through AI agents before human review (TokenPost)
• Replit describes AI-assisted triage for customer support requests (EconoTimes)