Conversation intelligence, redefined

Conversation intelligence software that acts on what it hears.

Attention captures every sales conversation, scores it against your playbook, and deploys AI agents to handle the follow-ups, next steps, and CRM updates the moment the call ends. Analysis is the floor, not the product.

Records, transcribes, and scores 100% of calls across Zoom, Meet, Teams, Webex, and dialers
MEDDPICC, BANT, SPICED, or your own framework, graded consistently on every conversation
AI agents draft follow-ups, update Salesforce or HubSpot, and post next steps to Slack automatically

4.9★ on G2, trusted by growth-stage revenue teams

Attention

AI sales team

↳Summarize last week's discovery calls

↳Compile new leads that asked about pricing

↳Draft follow-ups for every open deal

↳Update Salesforce with next steps

Auto-captured · Agents dispatched · CRM synced

The gap

Legacy conversation intelligence tells you what happened. Attention does something about it.

The single AI agent

Traditional conversation intelligence

Records calls, surfaces trackers, ships dashboards, then leaves the work to your reps
Scores a sample of calls, managers chase the rest manually
Lives in a separate tab, disconnected from your CRM, dialer, and email
Reps still log next steps, MEDDPICC, and follow-ups by hand after every call

Attention's AI sales team

Conversation intelligence that drives revenue motion

Scores 100% of calls against your playbook on every dimension, every time
Auto-drafts the follow-up email two minutes after the call ends
Updates opportunity stage, MEDDPICC, and 20+ custom CRM fields without rep input
Surfaces deal risk, coaching moments, and competitive intel to managers in real time

Beyond analysis

Four AI agents working on every conversation, automatically

Other CI platforms stop at the transcript. Attention turns every conversation into action, across your CRM, your inbox, and your team's Slack.

Scores 100% of calls against your playbook

Coaching agent

Grades discovery depth, objection handling, MEDDPICC coverage, and close strength on every call. Surfaces the exact moment a rep nailed it or missed, so 1:1s become specific instead of vague.

→ Review clip with manager in 1:1

Logs every field your RevOps team fought for

CRM agent

Updates stage, next step, MEDDPICC, competitor, decision timeline, and custom fields after every call. Your forecast finally reflects what was said, not what reps remembered to type.

Competitor: Gong. Decision timeline: Q3.

Drafts the email before the rep closes their laptop

Follow-up agent

Writes a tailored follow-up two minutes after every call, referencing specific objections, commitments, and next steps. The rep reviews and sends in one click.

Turns every conversation into a tracked commitment

Next-steps agent

Detects every mutual action item, owner, and deadline. Posts them to your CRM and the deal Slack channel so handoffs are clean and deals don't stall between meetings.

→ Schedule technical review with CTO (Owner: champion)

The outcome

Stop losing winnable deals to process.

100%

Of conversations scored and analyzed, not just a sample

6 hrs

Per rep, per week saved on CRM updates and follow-ups

+31%

Faster ramp for new reps using on-demand call libraries

"Attention serves as a fundamental operating layer across our go-to-market. The ability to customize scorecards and workflows has been a game changer for our forecasting accuracy and pipeline hygiene."

Jeremy von Halle

VP Revenue Operations, Abridge

See what your team's conversations have been trying to tell you.

Book a 20-minute demo. We'll analyze a recent call and show you exactly what Attention would surface, score, and act on, end to end.

No credit card. Live in under a week.

FAQ

Common questions about conversation intelligence software

What is conversation intelligence software?

Conversation intelligence software records, transcribes, and analyzes sales conversations across video calls, phone calls, and email to surface deal risk, coaching opportunities, competitive intel, and customer signals. Modern platforms like Attention go beyond analysis by scoring 100% of conversations against your playbook and acting on what they hear, drafting follow-ups, updating CRM fields, and posting next steps automatically.

How is Attention different from Gong, Chorus, or Clari Copilot?

Gong, Chorus, and Clari Copilot are analysis platforms: they record calls, surface trackers, and produce dashboards. Attention is an analysis-and-action platform: it scores every conversation, then deploys AI agents that draft the follow-up, update Salesforce or HubSpot, and post next steps to Slack the moment a call ends. Conversation intelligence stops being a separate review tab and starts being revenue motion.

Which call platforms and channels does Attention support?

Attention captures and analyzes conversations from Zoom, Google Meet, Microsoft Teams, Webex, and most major dialers. It also ingests email and CRM activity so every conversation is analyzed in the context of the full deal, not in isolation.

Can Attention score conversations against our custom playbook?

Yes. Scorecards are fully configurable. Use MEDDPICC, BANT, SPICED, Sandler, or your own framework. Attention grades every conversation against it consistently and surfaces the specific moment where a rep hit or missed each criterion.

Does Attention work for outbound, customer success, and post-sale teams?

Yes. The same conversation intelligence layer applies to outbound discovery calls, customer success QBRs, renewal conversations, and post-sale onboarding. Configure separate playbooks per motion and route the agents accordingly: follow-ups for prospects, account plans for CS, expansion signals for renewal teams.

How long does it take to get set up?

Most teams are live in under a week. Connect your video platform and CRM, point Attention at your playbook, and it starts scoring conversations and dispatching agents from day one.

Is Attention secure and enterprise-ready?

Yes. Attention is SOC 2 Type II certified, supports SSO/SCIM, role-based access control, and per-tool authentication scoping. Customer data is never used to train shared models.