Two bike shops, same zip code, sell identical brands. Shop A answers web inquiries with a GPT assistant that drafts friendly replies and auto-attaches sizing charts. Shop B still types from scratch. At year-end Shop A handled 1,200 more emails with the same staff and booked 14 percent extra tune-ups.
That’s what a small dose of AI can do when it’s put to work smartly. You don’t need a data-science team; you need a $20 subscription and a willingness to experiment.
Start with “crawl” tools that do one thing well:
Email buddy – drafts replies, flags tone issues.
Note catcher – turns voice memos into task lists.
Move to “walk” bots:
Calendar concierge – proposes meeting times, sends reminders.
Report helper – builds first-pass slide decks from metrics.
Finally “run” with multi-agent workflows that route data between bots. Don’t run until walking feels routine—and automation just makes sense
Budget reality: a trio of SaaS bots might cost $90 a month—cheaper than a single temp worker. And people get to focus on customer smiles, not keystrokes.