For Technical Teams: RevOps, Data Engineering, and Platform
Agent-Ready · MCP Server · Evidence Packs
Feed Real Customer Emotion into
Your CRM, Agents, and Workflows
ReadingMinds is the emotional intelligence layer for AI agents.
Customer insight is moving from dashboards into the agent itself. ReadingMinds is building the customer truth layer your AI agents will query before writing emails, building decks, or prioritizing pipeline. Our secure MCP Server (available Q2, 2026) delivers evidence-first customer truth via MCP, API, or webhooks. Not “nice reports.” Structured Evidence Packs with quotes, emotional tags, themes, intensity scores, and full provenance.
Agents ask ReadingMinds before making decisions.
ReadingMinds is the signal layer that AI coworkers need to understand customers. This is the emotional intelligence infrastructure layer in the operating system for growth teams. Agents don't just need snapshots. They need customer emotional trend data to guide decisions. RevOps wars are increasingly won by whoever connects data most fluidly and powers agents with verifiable context.
Your AI Agents
Agent-Embeddable Customer Truth Layer
Your Customers
Looking for the product overview? See what ReadingMinds does →
Insight Products Win When They're Agent-Embeddable
Customer insight is leaving the dashboard. If your truth layer isn't callable inside the agent's workflow, you get relegated to “nice reports.” ReadingMinds is designed as a tool agents query, not a place humans go visit.
Dashboard Incumbents
Where insight gets stuck
- ○Reports that sit in a tab nobody opens
- ○Insights that require a human to read, interpret, and act
- ○No structured schema for agents to consume
- ○No provenance, so you can't trace a finding back to a quote
Agent-Embeddable Truth
What ReadingMinds delivers
- ●Structured Evidence Packs agents can query and act on directly
- ●MCP server (available Q2, 2026) so Claude, GPT, or custom agents will call ReadingMinds like any other tool
- ●Every insight carries full provenance: quote + emotion tag + intensity + source
- ●Emotional truth + audit trail = the evidence agents can't argue with
Best-in-Class Voice Insight Agent for Revenue Teams
Emma does what most “AI interviewers” can't. It delivers decision-grade insights you can trace back to the source.
Adapts Without Derailing
Follows unexpected threads while staying aligned to the objective: win/loss, onboarding friction, churn risk, expansion blockers.
Builds Rapport via Voice
Detects tone, pace, and hesitation during the conversation and responds with appropriate empathy. Result: customers tell you the real reason, not the polished answer.
We do not store voice recordings. We only retain transcripts and the derived sentiment/emotion signals.
Knows When to Ask Follow-Ups
Recognizes when a vague response hides a blocker, then asks the follow-up that surfaces the truth. Recognizes completion and moves on gracefully.
Decision-Grade Evidence
Every signal links to the exact transcript quote and timestamp, plus emotion tags and intensity scores. Built for exec reviews, QA, and procurement.
People Share More Truth When They Feel Safe
Clear Consent Moments
What's collected, how it's used: explained upfront before the conversation begins.
Participant-Respectful Pacing
Conversational pacing that lets people think and respond naturally.
No Black-Box Conclusions
Signals always trace back to transcript evidence. Full provenance for every finding.
Structured Evidence Your Agents Can Act On
RevOps doesn't buy “insight.” RevOps buys: help me close deals, reduce churn, and stop pipeline lies. ReadingMinds outputs structured Evidence Packs: theme + emotional tags + intensity + customer quotes + full provenance. Each pack is built from the customer's ReadingMinds Emotional Fingerprint™: the truth layer that sales, CS, and marketing agents can't argue with.
Churn Intervention
CS agent queries Evidence Packs for emotional decline → triggers proactive outreach with the exact quote that surfaced the risk
Pipeline Acceleration
Sales agent pulls customer enthusiasm signals to personalize follow-ups with evidence-backed messaging
Cross-sell & Upsell
When cheerfulness spikes or anger surfaces → agents trigger expansion plays while timing is still favorable, citing the specific customer quote
Forecast Integrity
When hesitation rises in late-stage conversations → agent flags for manager review with provenance, preventing surprise misses
// ReadingMinds Evidence Pack
{
"type": "evidence_pack",
"interview_id": "int_8x7k2m",
"customer_id": "cust_92jf8",
"recording_stored": false,
"theme": "onboarding_friction",
"signal": "churn_risk",
"severity": "high",
"evidence": [
{
"quote": "I mean, it's fine... we just
don't use it like we thought
we would.",
"emotion_tag": "sad",
"intensity": "7/9",
"source": {
"transcript_ref": "t_104",
"timestamp": "2:34",
"interviewer": "emma_v3"
}
},
{
"quote": "The onboarding was... a lot.
We kind of gave up after
week two.",
"emotion_tag": "angry",
"intensity": "7/9",
"source": {
"transcript_ref": "t_112",
"timestamp": "3:47",
"interviewer": "emma_v3"
}
}
],
"recommended_actions": [
"trigger_cs_outreach",
"update_health_score",
"flag_for_exec_review"
]
}ReadingMinds as an Agent Tool
MCP server is a first-class surface, not an integration backlog item. Your agents will call ReadingMinds the same way they call any other tool: query Evidence Packs, get structured customer truth, act on it. Plus REST API, webhooks, and native integrations for the rest of your stack. See our delivery roadmap on the pricing page.
MCP Server
Claude, GPT, or custom agents will call ReadingMinds as a tool: query Evidence Packs, get customer truth, act on it in the same conversation.
REST API
Programmatic access to interviews, Evidence Packs, and emotional signals. Build custom workflows and integrations.
Webhooks
Real-time event-driven signals to Salesforce, HubSpot, Zapier, n8n, or custom systems when evidence is detected.
Data Streaming
Stream Evidence Packs to Snowflake, BigQuery, or Redshift for cohort analysis, churn drivers, and segmentation.
MCP + API planned for all plans. Workflow automation + data streaming on Growth+. See delivery roadmap →
Works With
Evidence Pack Quickstart
Three steps from customer voice to agent action.
Collect Voice
Emma conducts a 3-minute AI voice interview. Emotion type and intensity are detected in real time. No permanent recordings stored.
Evidence Pack Generated
Structured output: cited quotes, emotion tags, intensity scores, themes, and full provenance. Every insight traceable to its source.
Agents Query + Act
Your AI agents query Evidence Packs via MCP, API, or webhooks. They get customer truth, log their actions, and every decision is auditable.
Enterprise-Ready for Agent Deployment
Enterprises demand audit trails, least-privilege permissions, and evidence-backed outputs before they let agents touch CRM and RevOps systems at scale. ReadingMinds is built for exactly that. No permanent recordings stored: transcripts and derived evidence only, under your retention controls.
SOC 2 Type II
Certification in progress via Vanta. Enterprise-grade security controls from day one.
Least-Privilege Access
Scoped API keys and MCP permissions; agents only see what they need
Full Audit Trail
Every evidence object traceable to quote + timestamp + emotion tag + intensity
GDPR & Data Residency (In Progress)
Privacy by design. US & EU options. No permanent recordings retained.
Evidence-first customer truth for agents.
Quotes + emotional tags + provenance. No permanent recordings retained. Not a dashboard. Not “LLM-only.” The customer truth layer your agents query before they act.
Make Your Agents Evidence-Backed
See how ReadingMinds becomes the customer truth layer in your agent stack.
Your competitors are already feeding emotion data into their workflows.
Agent-Powered Growth
The bestselling playbook for deploying AI agents that build your marketing pipeline 24/7. By ReadingMinds.AI founder Stu Sjouwerman. Published by Wiley.
Learn how autonomous AI agents are reshaping sales, marketing, and customer research, with real-world frameworks you can deploy today.