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7 min read
Josh Sklar

How Is Siro Different From Your CRM's AI?

“We already pay for Salesforce. How is Siro different from Agentforce or Conversation Intelligence?” I hear some version of this question in many of the customer calls I join, usually from the RevOps or IT person who is carefully vetting software spend. It gives me an opportunity to really highlight the difference between your CRM AI tools, and what Siro does.

My short answer is: your CRM's AI tools improve the record of the sale and help you engage with those records easily, while Siro actually improves how your next sales conversation goes — and then turns what was said into structured data the rest of your stack can act on.

Siro is an AI sales coaching platform for in-person sales teams: it records the conversation from the seller's device, scores it against the ideal behaviors your team defines, coaches your team before the next conversation, and provides real-time coaching guidance while the conversation is happening. Your CRM's AI offers none of the coaching: it fulfills a totally different job.

Coaching is one half of what we do. The other half is what happens to the conversation afterward: Siro turns each recording into structured data your CRM, BI, and marketing systems can act on. I've written about that side of the work separately, in how we turn conversation data into business infrastructure. Both halves run off the same recording, which is the part a CRM's AI can't give you.




Some CRMs can record conversations now, but recording isn’t the hard part

In 2026, Salesforce, HubSpot, and Microsoft all launched features for in-person or mobile capture. Some of it is beta, some is iOS-only, and some of it delivers the transcript somewhere other than the CRM. Here’s a breakdown of the major CRM AI tools:

What it captures
What it can do

Salesforce Conversation Intelligence

Calls, video meetings, and in-person meetings via In-Person Meeting Assistant (available April 2026)

Transcript, insights, and recommendations on the CRM record

HubSpot Conversation Intelligence

Calls and video meetings; in-person via Mobile Notetaker (iOS and Android) and a separate iOS-only notetaker

Transcription and analysis inside HubSpot

Siro

In-person conversations, recorded on the user’s device of choice

Scorecards, Roleplay, Halftime, Debrief, and structured fields written back to the CRM

Two tools that come up in the same breath sit outside that table on purpose. Salesforce Agentforce captures nothing itself — it reasons over data already in Salesforce and takes agentic actions on those records. Microsoft 365 Copilot for Sales records Teams meetings when an admin enables it, but offers no dedicated product for an in-person appointment. Both are worth knowing about. Neither is a way to get a kitchen-table or showroom conversation into your CRM.

Recording is just the beginning of Siro’s value to customers

Siro is purpose-built for recording in-person conversations, and at a glance that seems like the most obvious distinction. But recording is just the start of Siro. The things sales leaders care about come after the recording and transcript, and this is where a CRM’s AI tools and Siro have a big difference.

Imagine this: a sales rep at an automotive dealership finishes her conversation with one customer at 1PM. Her CRM's AI attaches a clean transcript and a summary to the account record. That's useful for one use case: her manager reviewing pipeline on Friday will have a better picture of the deal. But it does nothing for her after that. Nobody scored her menu presentation against the scorecards her director set at the store.

Your CRM's AI provides a fast and clean summary of the deal. Siro analyzes what happened in the conversation and supports the seller, including surfacing the behaviors, strengths, and learning opportunities to help improve the outcome of the next conversation.




What Siro does after a sales conversation ends

So what actually happens to a recording once Siro has it? We make that data interactive, and enable users to interact and learn from the conversations they’re having.

We score against your actual playbook, not a generic one

Siro Scorecards analyze every recorded conversation against the behaviors your team defines: your discovery questions, your objection handling, the way your process says a close should go. A manager gets a side-by-side view across reps, can jump straight to the moment that mattered, and leaves feedback right in the transcript. A sales leader at a global technology company loved how Siro felt like a custom fit:

I truly love Siro. I've tried other tools and most of them are just summarizing stuff. This is so custom to what we actually want AI to listen for.

Siro coaches the rep before the next appointment

Debrief turns each conversation into what worked and what didn't, and the rep sees it first, on her phone, while the appointment is still fresh. Coaching that arrives at Friday's pipeline review is a manager tool. Coaching that arrives in the truck, right after the appointment, is a selling tool.

Siro can help while the conversation is still happening

Halftime analyzes a live appointment and gives the rep guidance before it ends. There is no CRM-AI equivalent of this, and for in-person sales it's the capability I'd weight most heavily: an in-home close or a showroom walkaround is usually decided in the middle of the appointment, not in the write-up afterward.

It provides roleplay based on real conversations

Roleplay lets reps rehearse discovery, objections, and closing by voice, against examples drawn from real recorded conversations. Practice built on your actual customers stays anchored to how they talk. Practice built on generic scenarios drifts, and reps learn to perform for the tool.

None of that is magic. The scoring is only as good as the behaviors you define up front, and the first few weeks of setup are where most of the real work lives.




Siro does more with sales conversation data than CRM AI tools

For most of the last two decades, the CRM sat at the core of the sales tech stack because storing customer information was the hard part. AI has changed what the challenge is now. Amos, Siro's Director of Product, made this case in his article about interactive data: the most valuable tool in your stack now doesn’t just store customer information—it answers questions about it and influences the actions that come after.

Siro and your CRM actually fit together to cover the full lifecycle of a sales conversation. Sales teams record their conversations, our platform transcribes and analyzes the conversation, then our CRM Autofill pulls the structured data out of the recording (e.g. the price discussed, the objections raised, the competitors named, the timeline, and more) and writes it into the right CRM fields through a direct CRM connection.

Then my team, Solutions Engineering, connects that same data to whatever sits downstream: the marketing platform that should know the customer mentioned a garage remodel for next year, the BI tool that wants objection trends by region.

So the real setup isn’t really Siro versus your CRM's AI, it’s about Siro before your CRM. Your recordings become the data source your entire stack pulls from, with the CRM first among the destinations, and your CRM ends up holding better data than its own AI would have produced. When a RevOps leader tells me their real goal is cleaner Salesforce data, that's the part that gets me excited, because it means we want the same thing.




How to decide if you need Siro alongside your CRM's AI

When questions come up about how Siro is different from a team’s existing CRM AI tools, I ask the RevOps team to run one test: ask each tool what it changes about your rep's next appointment. Ultimately, the two aren't competing for the same budget line so much as covering different halves of the same conversation.




Frequently asked questions

Can Agentforce do what Siro does?

Agentforce and Siro overlap on analysis and diverge on coaching. Agentforce acts on what Salesforce already holds. Siro scores the conversation against your methodology and coaches the rep before the next appointment. If what you're evaluating is rep performance rather than record-keeping, Siro is the clear choice.

Do I need conversation intelligence if I already have Salesforce?

Salesforce customers with Conversation Intelligence licenses already have conversation intelligence for calls and video meetings, and as of April 2026 for in-person meetings too. If you want to change what the rep does in the next appointment, that is a different capability, and it is what Siro's conversation intelligence is built for.

Does HubSpot's AI record in-person sales meetings?

HubSpot's Mobile Notetaker records in-person meetings from the HubSpot mobile app on iOS and Android, and HubSpot documents recording offline and associating the recording once back online. As of August 2026 it is a beta requiring an assigned Sales or Service seat, so confirm your own tier before counting on it. Where Siro goes further is what happens to that recording: it becomes a score against your own playbook, Halftime guidance while the appointment is still live, and a Debrief the rep sees before the next door — not just a transcript filed against the record.

What is the difference between Salesforce Conversation Intelligence and a field sales recording app?

Salesforce Conversation Intelligence is built around the CRM record and works best when conversations arrive through a connected dialer or meeting platform. A field sales recording app, similar to what Siro does, is built around the rep's phone and the appointment. As of August 2026 both capture in-person conversations, and they differ in what happens next.

Is Siro a replacement for Salesforce Conversation Intelligence?

Siro is not a replacement for Salesforce Conversation Intelligence. Siro records and coaches in-person conversations, then writes structured data back into your CRM, where Salesforce Conversation Intelligence continues to work on everything it captures. The two are designed to run alongside each other.




Josh Sklar is Director of Solutions Engineering at Siro, where he built the function from scratch and works with customers on integrations and on what happens to conversation data after the sale. He spent eight years at StockX, moving from iOS engineer to Director of Engineering to Lead Product Manager, and has since run product at Pickle and Jolly. He holds a BS in Computer Science and Engineering and an MBA from the University of Michigan.

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