Launched this week
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.
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?
Katalyst
@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!
Katalyst
@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?
Katalyst
@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.
Katalyst
@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.
finally an ai tool that actually updates salesforce after the call instead of just promising to. the hygiene scores caught a few stale opps i'd been ignoring for weeks.
Katalyst
@nurglxcme love hearing this 🙏 the stale-opp catch is exactly what the hygiene scores are for, the deals you've mentally written off but never actually closed out are usually where pipeline quietly rots. glad it's already earning its keep.
The useful line is not just auto-updating CRM; it is making the handoff between conversation, next step, and field update visible enough that a rep can trust it. For small teams especially, pipeline tools fail when the system hides why it changed something.
Katalyst
@krekeltronics this is the part a lot of people miss, the trust doesn't come from the automation being good, it comes from the rep being able to see why it did what it did. a field that changes silently is exactly how you lose a rep, especially on a small team where everyone feels every record. that's why every update comes with its reasoning attached rather than just happening. visible beats clever.
How's this really different to Agentforce? What's different about Katalyst?
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.
Katalyst
@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?
Katalyst
@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.
Does each customer end up with their own sales memory? I'm wondering whether the AI gradually learns how our company sells?
Katalyst
@aryan_mehan1 Yes!! each organization gets their own sales memory that compounds over time.
Every email, meeting, and deal your team processes teaches the system about your company's playbook. It learns what actions tend to move deals forward at each stage, which signals matter most, how your reps structure conversations. The more deals you run through Katalyst, the smarter the agent become because they're building a memory on how your company actually wins, not generic AI patterns.