Why AI stalls at small companies
Nobody owns the rollout
At a 5,000-person company, someone has "AI" in their job title. At most small and medium businesses, the person who would own it is already running finance, or sales, or the product. The tool gets bought, two people try it for a week, and it quietly becomes another subscription nobody cancels.
The tools don’t talk to each other
Leads sit in one app, the calendar in another, invoices in a third, and the actual decisions in a Slack thread or a WhatsApp group. A chat assistant that can’t see any of that can only answer questions you already know how to ask, and that isn’t where the time is going.
The owner is the bottleneck
Small teams route everything through one or two people. They are the ones who notice the follow-up nobody sent and the client who has gone quiet, and they only notice when they have a spare moment. That’s the thing they have least of.
You pay top rates for simple work
Most AI tools bill every task the same way, whether it was a hard piece of reasoning or a two-line summary of an email. You end up paying frontier prices for work that never needed them, which is how a small budget gets used up long before the tool has proved anything.
So which kind of assistant actually helps?
“AI assistant” covers three quite different products, and the difference matters when you’re choosing. Chat assistants answer what you bring them and write well, but they only know what you paste in. Automation tools fire a fixed sequence when a trigger hits: useful when the work is predictable, brittle when it isn’t. Connected assistants like Hop sit between the two. Hop reads across your tools continuously, decides what deserves your attention, and proposes an action you approve.
How Hop works for a small team
Three things, each aimed at one of the reasons small companies stall.
It notices, so you don’t have to
Hop runs in the background across your connected tools and surfaces the work that needs acting on, with the next step already drafted, so it reaches you before it becomes the thing a customer has to chase you about.
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It gets you more for your money
Hop routes each request to the model that fits it. Summarising an email thread goes to a cost-efficient open model; a piece of genuine reasoning goes to a frontier one. You never pick. Hop does, per task, so what you spend goes on the work that genuinely needed the expensive model.
Routed to an open model
We can do the setup for you
Setup is the part small companies never get to, and it’s why most AI rollouts die. So we give you the option of doing it for you: we connect your accounts, configure what the assistant watches, and put agents to work on the manual, repetitive and tedious jobs your team is currently doing by hand.
The same work at a larger company is what we call Hop Advisory.
Your accounts connected by us, in one session
Workflows built around how your team already works
Tuned until you’d notice if it stopped
No internal owner required to keep it alive
What it looks like day to day
The same assistant, pointed at whatever your business actually sells.
Professional services
Hop watches the client threads in Gmail and Outlook, flags the proposal that has gone quiet for a week, drafts the nudge, and reminds you which engagements are due to be invoiced, before the month closes, not after.
Agencies and studios
Deliverables live in Drive and Notion, and feedback lives in Slack. Hop reads across all three, turns a client’s Slack thread into an action list, and surfaces the approvals holding a project up.
Sales-led small teams
Hop monitors HubSpot or Salesforce, surfaces deals that have stalled, drafts follow-ups in your own voice, and gives you the state of the pipeline on Monday morning without anyone building a report.
Support and operations
Hop escalates the Zendesk ticket that has been open too long, suggests responses drawn from how your team resolved the same thing last time, and chases the document approvals sitting in someone’s inbox.
It plugs into what you already run
No migration, no new system of record. Hop reads the tools your work already lives in, which is what makes what it surfaces specific to your business instead of generic advice.
GmailOutlookSlack
TeamsGoogle DriveOneDriveNotion
JiraHubSpotSalesforceZendeskWhatsAppCurious how the same thing works at a larger company? See Hop as an AI assistant for work. If most of your week is selling, there’s a version of this for sales teams.
Frequently asked questions
- What is an AI assistant for small business?
- An AI assistant for small business is software that connects to the tools a company already runs on — email, chat, files, CRM, tickets — and handles work that would otherwise need an extra pair of hands: drafting replies, summarising threads, chasing follow-ups. The useful ones can see your actual context, so their answers are about your customers rather than about business in general.
- Do I need an IT team to set one up?
- Not with Hop. Connecting tools and tuning what the assistant watches is the part most small companies never get to, so we do it: we sit with your team, connect the accounts and build the first workflows. Self-serve tools assume an internal owner with time to run a rollout, which is the person a small business doesn’t have spare.
- Is my company data safe?
- Hop connects through each tool’s official authorisation flow, so you grant access per tool and revoke it from the same place. Hop acts only with your approval: it proposes and waits for you to accept before anything is sent or changed. We walk through which connections are needed and which are optional during setup.
- What does an AI assistant for small business cost?
- Two costs to plan for: the assistant and the setup. Hop keeps the first predictable by routing each task to the cheapest model that can handle it, so summarising an email thread isn’t billed at frontier rates. The second is scoped with you before you commit. Pricing is per team, so the fastest way to a number is a conversation.
- How long does it take to get running?
- It starts with a conversation about where your time goes and which tools hold that work, then we connect the accounts and build the first workflow with you. The tuning is ongoing and we stay in it.
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It takes one conversation.
We’ll connect your tools, set up the workflows around how your team actually works, and stay in it afterwards — so keeping the thing alive isn’t somebody else’s job on top of their real one.