Attention - AI for Sales
Benwick Inc. · Leaning · Business
Attention is an AI sales platform that records calls, updates the CRM, drafts follow-up emails, and scores rep performance, with more than 70 tools exposed to Claude and ChatGPT through MCP.
About Attention - AI for Sales
What Is Attention
Attention is an AI sales platform built for B2B revenue teams. It records meetings with a notetaker that joins the call or with a desktop app that captures audio without a bot, then writes the notes into Salesforce or HubSpot and drafts the follow-up email while the details are still fresh. The company started in 2021 in New York, and its published customer stories include Abridge, Lovable, and Preply.
The problem it targets is admin work. Reps lose hours every week on notes and CRM fields, and managers only hear a handful of calls each month. Attention scores every call against your own rubric, so sales coaching rests on the whole pipeline instead of a sample.
The catch is that Attention is sold like enterprise software, not like a cheap app. Pricing comes as a quote, setup runs through a guided implementation, and the output depends on how well your CRM fields and scorecards are defined up front.
Getting Started
- Book a demo and walk through your CRM fields, call types, and the reports your managers actually use.
- Connect Salesforce or HubSpot, your calendar, and the meeting tools your team runs on.
- Build scorecards and extraction prompts with the implementation team during onboarding, which the vendor puts at about a week.
- Record a few live calls, check the notes and field mappings, then turn on one-click CRM updates.
- Add managers and Slack alerts, and connect the MCP server if you want Attention data inside Claude, ChatGPT, or Cursor.
Product Information
A quick look at Attention - AI for Sales's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Account executives at B2B software companies
- Sales managers and enablement leads
- Revenue operations teams
Tasks
- Writing call notes
- Sending follow-up emails
- Scoring calls
- Spotting deal risk
Scenarios
- Ramping new reps
- Forecast reviews
- Multilingual sales teams
Key features
AI Sales Agents
Attention ships a library of prebuilt agents, from a knowledge base builder to a lead qualification enricher. Each one works inside the revenue workflow rather than in a separate dashboard, and you describe your own play in plain language for the Agent Builder to assemble. Every action is logged and traceable.
CRM Auto-Update
Notes are matched to the fields in your Salesforce or HubSpot setup, then written back with one click or automatically. You can append to an existing note or overwrite it, and the mapping covers deal stages, next steps, and custom fields. This is the CRM automation piece most teams buy first.
Follow-Up Email Automation
The platform reads the transcript, pulls out commitments and open questions, and drafts an email in the prospect's language. Reps edit and send from their own inbox, so replies stay in the normal thread. The vendor claims drafts land in under 60 seconds, a figure worth testing on your own calls.
AI Scorecards and Real-Time Coaching
Every call gets graded against scorecards you define, and managers see trends by rep, team, or call type. During a live call, battlecards and talk tracks prompt reps on objections. You can start from MEDDIC, BANT, or your own scorecard and adjust from there.
Super Agent and MCP Access
Super Agent is a conversational agent that answers pipeline questions and can take approved actions in Salesforce, Slack, Notion, or Google Sheets. The MCP server exposes more than 80 read and write tools to Claude, ChatGPT, Cursor, and other MCP clients. Access is per user, and write actions need approval by default.
Deal Risk and Pipeline Insights
Agents scan conversations for churn signals, competitor mentions, and missing next steps, then alert the owner or manager in Slack. Cross-call analysis answers questions like which objections show up in lost enterprise deals. That view is hard to get from a single call summary.
Pros and cons
Pros
- Acts on the call: notes, CRM fields, and follow-up drafts appear without a rep retyping anything.
- Custom build: scorecards and extraction prompts are set up around your process instead of a fixed MEDDIC template.
- Open surface: the MCP server and API let your own agents query calls and deals, which most call recording tools block.
- Enterprise controls: SOC 2 Type II, HIPAA, SSO, and audit logs cover the checks procurement usually asks about.
- Multilingual support: recording and translation help teams that sell outside their home market.
Cons
- No public pricing: you have to talk to sales to get a number, and there is no free tier to test first.
- Setup takes a project: onboarding, CRM mapping, and scorecard design need input from RevOps, not just an admin click.
- Weak inputs stay weak: vague CRM fields or poor call audio produce thin notes and scores.
- Recording rules are on you: consent laws vary by state and country, and the vendor supplies guidance rather than legal cover.
Frequently asked questions
Attention records sales calls, transcribes them, and turns the conversation into CRM updates, follow-up email drafts, call scores, and deal risk alerts. It also exposes that data to AI assistants through an MCP server.
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