Launching today
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.
The pain you're describing from Datadog is exactly right — enterprise reps rebuilding context that already lived in their email is a brutal tax on selling time. Curious: when a rep has 20+ open opportunities, does Katalyst prioritize which ones to surface in any given week, or does it process everything equally and rely on the rep to decide what matters?
Katalyst
@sabber_ahamed Nothing writes blind, updates show their reasoning and the rep approves. Forecast-level fields can stay approval-only indefinitely, so an inaccurate read gets caught before it touches the pipeline, not after.
How does Katalyst prevent inaccurate AI-generated insights from affecting pipeline forecasts or CRM data?
Katalyst
@robert_dimla Every update shows its reasoning and needs rep approval early on, and high-stakes fields like forecast category can stay approval-only, so a bad read never silently hits your pipeline.
This is a smart approach to the "AI does the boring CRM work" problem.
Since Katalyst is auto-creating records and updating fields based on
call/email reasoning, how are you handling cases where the AI
misreads a signal — like marking a deal as "slipping" when it
actually wasn't, or auto-filling a field with the wrong next step?
Curious if there's a review/undo layer before changes go live in
Salesforce.
Katalyst
@amjad_shaik Yes, changes surface for rep approval before they land, each with its reasoning, so a misread like a wrongly flagged "slipping" deal gets caught upfront, not after. And anything it writes automatically is logged in the activity history, so it's reviewable and reversible.
Salesforce native or bolted on top through the API? Asking because our admin gets grumpy about anything that requires extra middleware or sandbox shenanigans.
Katalyst
@hayrettinvwjhk There's no middleware or any sandbox. We natively integrate with your custom Salesforce environment - not even any third-party MCP. Your admin will find it breezy!
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.
Quick question - does Katalyst prioritize which deals I should work on first? I've got 40+ opps and honestly half the time I'm guessing where to spend my day.
Katalyst
@tanay_gopal_agarwal Yes! The Katalyst agent builds intelligence on your pipeline and prioritizes deals based on size, close-date, activity, relevance and even suggests actions to take.
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.