It watches the inbox, not the pipeline report
A deal turns in an email thread days before it turns in the CRM.
Hop connects to your email and messaging apps and reads what people actually wrote. That is where the objection you didn’t answer lives, and the commitment you made on Tuesday, and the procurement question that went past everybody. Each rep gets a short list in the order it matters, with the next step attached.
Today
In 2 hours · 1:00 – 1:30 PM
CloudRelay renewal call
You’re not locked in, and you’re not overpaying for the simple jobs
Hop picks the model per task. Summarising a thread, tidying a record or drafting a routine reply goes to a cheap, fast model; reasoning across a contract and six months of email before a renewal goes to the best one available. You never choose, and because nothing is wired to a single lab, we can move you to whatever is best next year without a migration.
Routed to an open model
We set it up with your team
Turning a vague goal into workflows your reps actually use is most of an AI rollout, and it’s the part teams run out of time for. We are there to help: we connect your stack, build the workflows with your reps and your manager, and keep tuning after launch.
That work has a name: Hop Advisory, and it’s how every rollout starts.
We map the workflows with the reps who have the problem
We connect Gmail, Slack and your CRM ourselves
We keep tuning after launch, when the gaps actually show up
A sales week, specifically
Four things Hop brings you without being asked.
The call at two o’clock
Hop surfaces it that morning and offers to prep you. It reads the contract in Drive, the thread with your champion in Gmail, and the account channel in Slack, then gives you the renewal date, the number, who owns it, and the two tickets that are still open.
The follow-up you said you’d send
You promised it in a thread on Tuesday and it is now Thursday. Hop noticed the promise, not a reminder you set, and hands you the reply already drafted against what the prospect actually objected to.
The CRM entry nobody made
Ask Hop to log the call and it writes the summary and the next step into HubSpot or Salesforce. You see exactly what it is about to write, and nothing lands in the record until you say so.
The Monday report
A standing agent that runs before anyone is at their desk: read the week’s activity, write the summary, save it where the team keeps things and post it to the channel. You switch it on once.
What it connects to
The email and messaging apps first, because that’s where deals are decided. Everything else is context.
- Gmail & Outlook
Slack & Teams- HubSpot & Salesforce
WhatsApp
Drive, OneDrive & Notion- Zendesk
AI assistant for sales: common questions
- What is an AI assistant for sales?
- An AI assistant for sales is software that takes on the work around selling: follow-ups, call prep, CRM logging, chasing stalled deals. The point is that reps spend more of the day in conversations. Most wait to be asked. A proactive one reads the inbox and the channels where deals are discussed and brings each rep the next action already drafted.
- How is this different from the AI already in my CRM?
- A CRM assistant reasons over what somebody remembered to log. Hop reads the email threads and channels where the deal was actually decided, which is usually where the risk is visible first. It reads your HubSpot or Salesforce record too, but as context rather than as the only source.
- Does Hop send emails or change deals on its own?
- No. Hop drafts and proposes; a person approves before anything is sent or written to a record. You see the exact text and the exact field change first.
- Which AI model does it use?
- Whichever one the task is worth. Hop routes each task automatically: routine drafting and summarising go to cheaper, faster models, while hard reasoning across a contract or a long thread goes to a top-end one. You never choose, and you are not tied to one vendor.
- Who sets it up?
- We do. Hop comes with hands-on implementation: we connect your tools, build the workflows with your team, and keep tuning them after launch. In our experience that is most of the project, and it is the part that decides whether a sales team is still using the tool in month three.
Keep reading
Proactive AI: what it is and why to try it
What proactive AI means, how it differs from an AI agent, and where the big tools stand.
Read it →AI assistant for work
What makes Hop different, what it does for each team, and the tools it plugs into.
Read it →AI assistant for small business
Why AI stalls at small companies, and what it takes to make it stick without an IT team.
Read it →Give your reps the follow-up
before they go looking for it.
Hop is in private beta. Leave your email and we’ll set up a call to look at your stack, map one workflow properly, and connect it with you.