Carson plus your agent equals superpowers

Ask Carson where to spend your time, and it tells you when something needs you.

Carson reads every support ticket, sales call, email and CRM note, ties each one to its account and ARR, and answers in the agent, Slack channel or app your team already uses.

Book a call (opens in a new tab)Ask your agent whether Carson fits
Conversations from your CRM, call recordings and customer success tools flow into Carson as they come in, alongside context from your project management tools and wikis. Answers go out to the agent, Slack channel or app your team already uses, and Carson suggests a next step to the account’s owner, who decides what to do.

Conversation sources

CRMs

  • HubSpot
  • Salesforce

Call recording

  • Gong
  • Zoom

Customer success

  • Intercom
  • Zendesk

Company context

Project management

  • Jira
  • Linear
  • Asana

Wikis

  • Notion
  • Confluence

Carson · the layer underneath

Always reading, tied to revenue.

Signals
named concerns, new, heating or quiet
Accounts
every conversation tied to its ARR
Evidence
every figure opens onto a quote

Where your team works

  • Slack
  • Carson app

Pick yours to hold it

Claude · via CarsonIllustrative

Which accounts over $25k ARR went quiet after the pricing change?

Three accounts, $140k ARR between them. Two renew this quarter.

  • Wayne Enterprises · renews in 41 days$62k
  • Stark Industries · renews in 58 days$48k
  • Grantham Estates · quiet for 9 weeks$30k

Each account opens onto its conversations.

Carson suggests, a person decides

Carson to Alfred

Alfred, Wayne Enterprises raised saved-view sync three times this quarter and renews in 41 days. Nothing in Asana or HubSpot shows a plan. Call them before Friday?

Checked Asana and HubSpot

Alfred calls them Thursday

Conversations in, decisions out, with the revenue attached the whole way.

  1. Your sources

    Support tickets, chats, sales calls, emails and CRM notes. At 250 a month across three tools, nobody reads them all.

  2. Carson reads every one

    Your history first, then each new conversation as it comes in. Every one is tagged against your own themes, tied to its account and ARR, and kept as the evidence behind each figure.

  3. Where you already work

    One MCP connection serves any agent: ask in plain English in the one you use. Carson can also post to a Slack channel you pick.

  4. Carson suggests, a person decides

    Carson sends the account’s owner the next step, with the evidence behind it and links to any work already planned. It drafts the ticket, doc or thread reply, and a person reviews it and does the work. What customers say becomes context the whole company shares, in its tools and its meetings:

    • Slack threads
    • Jira, Linear and Asana tickets
    • Notion and Confluence pages
    • The at-risk review
    • QBR and renewal prep
    • Roadmap and board meetings

  5. The bottom line

    You see churn coming, you stop guessing at expansion, and you can defend the roadmap with the accounts and ARR behind every line.

    Every number links back to the conversations it came from.

Ask your agent whether Carson fits.

Paste this into any agent that can open a web page. It reads a page we wrote for it, asks about your tools and team, and tells you straight whether Carson fits. It answers from a description of Carson, not from your data.

Read getcarson.ai/agent, ask me a few questions about our tools and team, then tell me straight whether Carson fits.

See the full prompt
Read https://getcarson.ai/agent. It explains what Carson is and isn’t.

Then interview me: which tools hold our customer conversations, how big the team is, roughly how many conversations we have a month, and which meetings I want better answers for.

From my answers, show me the signals and questions Carson would raise for a company like ours, and which decisions each one would feed.

Be straight with me. If Carson isn’t a fit, say so. If it is, give me the link to book a call.

The prompt reads one public page. None of your customer data reaches us.

Carson suggests the next step. A person decides.

When an account needs attention, Carson messages its owner in Slack with what it found and a step to take. It checks your project tools and wikis first and links anything related it finds.

Direct messageIllustrative

CarsonApp8:47 AM

Alfred, Wayne Enterprises raised saved-view sync three times this quarter and renews in 41 days. Nothing in Asana or HubSpot shows a plan. Call them before Friday?

Checked Asana and HubSpot: nothing planned

Saved views fail to sync7 accounts, $412k ARR

Open evidenceMute

  • It checks before it suggests

    Carson looks in Jira, Linear, Asana, Notion and Confluence first, and links any related work it finds.

  • Every suggestion shows its size

    How many accounts raised it and the ARR behind them, so one loud complaint and a broad problem don’t look the same.

  • You can mute it

    Mute a suggestion and Carson stops raising it, so it doesn’t become one more alert to ignore.

  • A person decides

    Carson suggests and drafts. Your team reviews and does the work, and Carson never messages your customers or changes your CRM.

Questions for the meetings you already have

Each answer comes back with the accounts, the ARR and the conversations behind it: the evidence under the health score you already track.

  • Head of Product

    The roadmap meeting

    “Which themes are heating, ranked by the ARR raising them?”

  • Head of Customer Success

    The weekly at-risk review

    “Which accounts look healthy in HubSpot but sound unhappy in their conversations?”

  • Head of Support

    The case for product fixes

    “Which issues drive the most tickets, and which of them touch our largest accounts?”

  • Founder or CEO

    Board prep

    “What are customers telling us across support and sales, and how much ARR is behind it?”

“Why don’t I just paste my tickets into ChatGPT?”

You should. Your agent is the interface now, and it’s a good one. What it can’t tell you from a paste is whether a complaint is typical. It sees one export, not every conversation across your tools, tied to the account and sorted into the same themes every month. Carson is the layer underneath your agent that does that, and every answer links back to the conversation it came from.

Point at a card to turn it over.Tap any card to turn it over.

  • Your AI on its own

    Is it typical?

    Finds quotes for whatever you already think.

    Carson and your AI

    Every claim sits against every conversation, so cherry-picking shows.

  • Your AI on its own

    Context across your tools

    Sees the one ticket you pasted.

    Carson and your AI

    Reads your CRM, calls, support and project tools together, each conversation tied to its account.

  • Your AI on its own

    Who said it

    Can’t tell three customers from one loud one.

    Carson and your AI

    Ties every conversation to its account, with the ARR from your CRM.

  • Your AI on its own

    Made-up quotes

    Quotes a customer who never said it.

    Carson and your AI

    Cites each quote by ID, linked to the conversation it came from.

  • Your AI on its own

    Comparing periods

    Makes up new categories every run, so the trend is noise.

    Carson and your AI

    Sorts every month into the same themes, so up 30% means up 30%.

  • Your AI on its own

    Same question, same answer

    Two people ask and get two different numbers.

    Carson and your AI

    Tags are stored once, so the same question gets the same numbers.

  • Your AI on its own

    Suggests the next step

    Tells you what’s happening, if you ask.

    Carson and your AI

    Sends the owner the next step with the evidence, after checking your tools so it isn’t something already in hand.

  • Your AI on its own

    Knows when not to interrupt

    Silent until asked, or alerts you learn to mute.

    Carson and your AI

    Raises the quiet account nobody’s on and leaves the one you’re handling.

  • Your AI on its own

    Data hygiene

    Counts your team’s replies and internal notes as feedback.

    Carson and your AI

    Separates your customers’ words from your team’s before anything is counted.

Keep asking your agent. Carson gives it every conversation to answer from.

Three steps, and we walk you through the first.

  1. 1Connect your tools

    Sign in to your CRM, then add a key or sign in for each of your other tools. We walk you through it on the call.

    Source guides

  2. 2Carson reads your history, then keeps reading

    It starts with the conversations you already have, then reads each new one as it comes in. Every conversation is tagged, tied to its account and ARR, and watched for change over the months that follow. A signal carries its evidence with it.

  3. 3Answers where your team works

    Ask in Carson’s app or in your own agent over MCP, and answers cite the quote, the account and the figure. Carson can also post conversations to a Slack channel you pick.

    Connect an agent

We ran it on ourselves first.

Kapiche, the company behind Carson, has spent over ten years analyzing customer conversations for enterprise companies. Carson read our own customers before anyone else’s.

An internal feature proposal made its case with 63 customer statements from 15 accounts. Every quote was real. Checked at the source, 5 statements weren’t about the feature at all, one person supplied a quarter of the evidence, and the rival priority drew more mentions across all 592 signals. Every quote held up, but the conclusion didn’t, and Carson is how we found out in an afternoon.

300M+
conversations analyzed at enterprise scale
34,000
Kapiche records over nine years, read by Carson first

Nothing you can’t check.

Read the security page
Every figure has a source
Quotes and accounts are cited by IDs Carson’s records issued, and each one opens onto the conversation behind it.
Your data doesn’t train models
Our model providers are contractually barred from training on your data, and from keeping it past the request apart from a short-lived prompt cache.
Your workspace is isolated
Every analytics query is scoped to one workspace. Kapiche, which builds Carson, is audited against SOC 2 Type II, and Carson runs on those controls.
People make the calls
Carson suggests the next step and drafts the work, and a person reviews it and does it. It doesn’t message your customers or change your CRM.

What comes up on the first call.

Who is this for?

Heads of product, customer success, support or marketing at B2B SaaS companies, or the founder at a smaller one, who have to defend the numbers in the room. It fits best with about 250 or more customer conversations a month across more than one tool.

We already have reporting in Gong and Intercom. What is different?

Each of those reports on its own tool. Carson reads across them, ties every conversation to the account and its ARR, and keeps the same themes month to month, so this quarter compares with last quarter.

Could we build this ourselves?

You could get a first answer in an afternoon. The hard part is keeping it stable for 18 months: the themes, matching conversations to accounts, and IDs your agent can cite, while the tools underneath keep changing.

Where do ARR and account data come from?

Your CRM, HubSpot or Salesforce: Carson reads deal amounts for ARR and each account’s stage for its status, and you map the fields during setup.

Which agents does it work with?

Any MCP client that can add a remote server and sign in with OAuth. The docs have step-by-step guides for Claude and ChatGPT. Connect an agent

Is it real time?

No. Carson reads in scheduled batches, and how often is agreed with you in early access. It posts conversations to a Slack channel as it reads them, and your team can ask it questions right there in Slack.

What does early access include?

Carson on your own data, setup walked through on a call, a direct line to the people building it, and founding member status in our community. Terms for the founding group aren’t settled yet; we’ll go through them with you on the call.

Accounts warn you before they churn.

The warning is in what they say, or in how quiet they’ve gone. Carson finds it in the conversations you already have, with the account and ARR attached, so your team can step in before the renewal. Early access includes founding member status in our community. Book 20 minutes with the people building it.

Book a call (opens in a new tab)Ask your agent whether Carson fits