Katalyst is the AI sales agent for teams on Salesforce. Hang up a call and it's already done: notes summarized, records created, fields updated, follow-up drafted, next step set. It runs 24/7, reading every call, email, and calendar, surfacing the right signals, prepping you for each meeting, and prompting you to act: follow up here, this one’s slipping. What's new: AI Resolution on every account, meeting recorder, hygiene scores, deal patterns. Built for enterprise sales teams.
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How long does the Salesforce setup typically take? Is it a plug-and-play integration or does it need admin involvement?
@constance_argenson It's built to be plug-and-play, you connect your Salesforce and it reads your existing setup as-is, no migration or rebuild. Larger orgs usually loop in an admin for permissions, but there's no heavy config project.
How hard is this to set up? I know enterprise software can take forever to implement.
@anoushka_mishra Almost nothing. Admin connects Salesforce, the pipeline syncs, and each rep does a ~10-min agentic onboarding. That's the whole setup. Nothing like a classic enterprise rollout.
@anoushka_mishra To add, the reason it's fast is it reads your existing Salesforce as is, there's no schema to rebuild or scripting to write. Admin connects, the pipeline syncs, each rep does a quick onboarding and you're live. None of the months long rollout enterprise software usually drags you through.
@anoushka_mishra Adding onto this - the agentic onboarding actually makes the process simpler for you because you can ask any question you have on the chat while being onboarded - so you are also being guided with the onboarding.
The product feels like a lot of connected features. What's the typical journey? Where do customers usually start, and what do they naturally discover next?
@sarahfabulous It looks like a lot, but there's a clear starting point. Step one is always the same: connect Salesforce and let it keep opportunities current automatically. That's the hook. From there people graduate to the hygiene score, then Do This Now, then buying signals. Each one unlocks the next, so it never feels like learning eight features at once
Love the idea of AI actually taking action instead of just giving insights. What’s an example of something it does automatically during a normal sales day?
@simran_jain18 One example is that the AI can actually draft emails and provide CRM field suggestions. It can also generate account plans and bring relevant signals for you!
@simran_jain18 @yajwin_jain A concrete one: you finish a call, and before the next starts, Katalyst's logged it, updated the deal stage, and drafted the follow-up ready to send. You never opened Salesforce.
How big does a team need to be for this to make sense? Like would a solo salesperson get value?
@akshay_jain46 Even a solo salesperson on Salesforce would get value. Our Starter plan is designed for teams of 1 to 3. You get the AI agent updating your CRM, meeting briefs, follow-up drafts, and pipeline intelligence. The value scales with team size (more reps means more data entry eliminated, more consistency gained) but a single rep saving 30 to 45 minutes a day on admin work is already a big win.
@akshay_jain46 Worth adding for the solo case specifically: when you're a team of one, there's no ops person or manager backfilling your CRM, so it's either you at 9pm or it doesn't happen. That's the exact gap the agent fills.
How's this really different to Agentforce? What's different about Katalyst?
@mukesh_pandey6 Agentforce wants you doing more inside Salesforce. Katalyst does the Salesforce work for you, so reps barely touch it. One deepens the platform, the other removes the busywork.
@mukesh_pandey6 To add, the tell is where each one lives. Agentforce assumes the CRM is where reps already work and layers agents on top. Katalyst assumes the opposite, the work happens in calls and emails, so it captures it there and keeps Salesforce updated for you. One makes the CRM busier, the other makes it disappear from your day.
Congrats on Shipping! Looks like a promising product here! In my experieence is the graveyard of CRM tools is full of products that made data entry slightly less painful and called it a solution. How's the auto-capturing of data working in Katalyst? The problem usually isn't the UI it's that data is scattered, async and AEs don't really log the things. Running a SaaS with a mix of inbound and long-cycle partnership deals, so the fragmented relationship problem is constant for me. How's Katalyst solving for this?
@jalan_kshitij Thanks! And you're describing exactly the bet we made. You're right that the graveyard is full of "faster data entry" tools, so we went the other way: capture can't depend on the rep doing anything at all. Katalyst plugs into where the conversation already lives. Connect your inbox and your notetaker, and every email and call gets matched to the right deal and contacts automatically, then turned into the CRM updates, follow-up tasks, and next steps that should come out of it. The rep's only job is a quick yes or no on what it drafted. Nothing to log, nothing to remember to log.
The long-cycle part is honestly where it earns its keep. A partnership deal goes quiet for two months, then a thread wakes up, and all the context from every email and call along the way is already sitting on the deal, not in the rep's head. New people show up mid-deal on those too, and Katalyst spots contacts it hasn't seen and offers to add them. Would love to hear how it holds up against your setup, the inbound plus long-cycle mix is a great stress test.