Square said it has opened Managerbot to more sellers in open beta, and it points to a different kind of AI tool for small business owners. This isn’t a chatbot sitting in the corner waiting for you to type a question. Managerbot is an AI agent built directly into the Square Dashboard that monitors your business around the clock, spots problems before they hit your bottom line, and proposes specific actions for you to approve with a single click.
The shift here is significant. It’s the move from “ask AI a question and get an answer” to “let AI watch your operations and bring the next decision to you.” If you’re a small business owner running on Square, this could change how you spend your mornings.
Square says Managerbot works across several practical workflows, including sales and labor monitoring, inventory management, employee scheduling, marketing campaigns, and catalog cleanup. For most sellers, the biggest day-to-day value will likely show up in inventory, scheduling, and marketing.
On the inventory side, it monitors your stock levels, sales velocity, and other available business signals to flag potential shortages before they affect service. If you’re about to run low on a key item, Managerbot flags it. If your sales history suggests you’re heading into a busier-than-usual period, it can help you prepare before stock becomes a customer-facing problem. That means fewer “we’re out of that” moments when customers are already standing at the counter.
For scheduling, Managerbot pulls in your forecasted sales data and generates optimized employee schedules that balance your workers’ preferences with actual coverage needs. Instead of spending an hour juggling availability and demand, you review a draft schedule and approve it. If something looks off, you adjust it. The time-consuming part — matching demand, availability, and coverage — is already handled.
On the marketing side, Managerbot tracks sales trends across your catalog and identifies your best customer segments. It then drafts targeted campaigns, such as win-back emails for regulars who haven’t visited lately or promotional outreach timed to seasonal patterns, and presents them for your review before anything goes out.
In each case, the pattern is the same: Managerbot does the analysis, builds the recommendation, and waits for you to say yes.
The Approval Layer: Why It Matters More Than You Think
Square says every action Managerbot proposes, including adjusting a shift schedule, sending a marketing email, or modifying inventory, requires the seller’s explicit approval before it executes. The system even generates visual previews showing exactly what will change so you can see the impact before you commit.
This isn’t just a nice UX touch. It’s a deliberate trust-building strategy, especially for Block.
In January 2025, state financial regulators said Block, Square’s parent company, would pay an $80 million fine over Cash App compliance failures tied to Bank Secrecy Act and anti-money laundering rules. That history gives the approval-first design more weight. When a financial technology company asks sellers to trust an AI agent, control can’t feel like an afterthought.
Willem Ave, Block’s head of product at Square, put it plainly: “We want to earn trust with sellers, so any write action is prompted to the user to approve.”
For sellers, the tradeoff is clearer: you get AI-powered analysis without handing over final control. Managerbot can’t change your prices, publish a campaign, or alter your schedule behind your back. You remain the decision-maker. The AI does the homework.
What Early Users Are Saying
In Square’s announcement, Donnie McClanahan, who operates four cafés in the Knoxville, Tennessee area, said he has been using Managerbot since February. He now starts his day by asking the bot for an update across all his locations — something that used to require calling individual staff members.
“Now when I head in, Managerbot has already told me how the previous day went across all my cafes,” McClanahan said. “What’s making me go ‘wow’ is the proactivity. It flags inventory risks before we run out, catches catalog issues before a customer sees them, and can even show me the schedule conflicts.” He added: “The best part is that it’s giving me back time for what matters most: my customers, my team, and the food.”
Square also cited Ryan Prellwitz, owner of Vines & Rushes Winery in Ripon, Wisconsin, who said he has been using Managerbot since early 2026. He described the key difference as the move from reactive to proactive: the system surfaces “insights I should be paying attention to” and gives recommendations he can act on. When he wanted to identify regulars who hadn’t stopped by recently, Managerbot didn’t just give him the list. It suggested a marketing campaign to bring them back in.
Block says it’s seeing “very meaningful lift” from Managerbot-generated campaigns compared to what some sellers create manually. Square also says early data shows restaurant operators are among the most active users, which makes sense given how many daily operational demands restaurants have to manage.
Managerbot may also give sellers another reason to keep more operations inside Square. Some early users are moving payroll, time cards, and shift scheduling onto Square so the agent has more business data to work with. The more business data Managerbot can access, the more useful its recommendations may become. That gives sellers a practical reason to keep more of their workflow inside Square.
Why Block Built This Now
Managerbot also lands at a sensitive moment for Block.
In February 2026, Reuters reported that Block would cut more than 4,000 jobs, nearly half its workforce, after CEO Jack Dorsey cited AI as part of the company’s operating overhaul. Dorsey framed it not as a cost-cutting measure but as an organizational restructuring: AI tools like the company’s open-source coding agent Goose had automated enough routine work that the smaller team could maintain the same shipping velocity.
The move was controversial. Some analysts called it a bellwether for the entire industry, while others questioned whether AI was being used as cover for cleaning up years of overhiring during the pandemic. Bloomberg later reported that the cuts had raised suspicions of “AI-washing.”
For sellers, the bigger question isn’t whether Dorsey’s internal restructuring was justified. It’s what Block is building after making that bet. Block isn’t just using AI to cut its own costs. It’s turning AI into the product it sells to you. Managerbot is the external proof point of Dorsey’s thesis: that AI can fundamentally reshape how small businesses operate.
Dorsey predicted that “the majority of companies will reach the same conclusion and make similar structural changes” within the next year. Whether or not that’s true for every company, the trend line for commerce platforms is clear. The tools you use to run your business are getting a lot smarter, and the platforms that power them are betting their futures on it.
What This Means for You
Square says Managerbot is available now at no additional cost to most non-franchise food & beverage, retail, and health & beauty sellers in the US. Non-franchise businesses in those verticals can access it directly through the Square Dashboard. If you’re heading to the National Restaurant Association show in Chicago from May 16 to 19, you can see it in action at Square’s booth (#6007).
But the implications extend well beyond Square’s current user base.
Managerbot represents a new category of business tool: the propose-and-approve AI agent. Instead of handing you data and leaving you to interpret it, this kind of agent reduces your cognitive load by doing the analysis proactively and presenting you with decisions. You’re not digging through reports. You’re reviewing recommendations and saying yes or no.
It’s worth noting what Managerbot can’t do yet. It’s still in beta, which means its capabilities are limited to certain data sets and workflows. Like other AI tools, it can also make mistakes, so sellers still need to validate important recommendations before acting on them. It’s currently US-only and restricted to specific verticals. And it requires internet access to function.
The competitive picture is worth watching, too. Square isn’t the only platform trying to make business software more intelligent. Shopify, Toast, Clover, and other commerce platforms are all under pressure to turn operational data into faster recommendations for merchants. It’s reasonable to expect the propose-and-approve model to become standard across the industry within the next year or two.
For now, the decision for Square sellers is straightforward: it’s free, it’s in your dashboard, and the approval layer means you’re not handing over control. The worst case is that you try it and the recommendations aren’t useful yet. The best case is that it saves you time, catches issues earlier, and turns scattered business data into decisions you can review quickly.
For a Square seller, that’s at least worth testing before the rest of the market catches up.
We empower people to succeed through practical business information and essential services. If you’re looking for help with SEO, copywriting, or getting your online presence set up properly, you’re in the right place. If this piece helped, feel free to share it with someone who’d get value from it. Do you need help with something? Contact Us
Want a heads-up once a week whenever a new article drops?
