From conversation to clarity,
in minutes.
Connect your tools once. Every conversation your team has — across support, sales, and success, and the AI agents working alongside those teams — is AI-scored and lands in a single account timeline, automatically.
Plug in HubSpot, Intercom, Zendesk, Zoom, or a CSV export. Conversations from every team sync when you connect, then every four hours (sooner where the source pushes updates).
Every conversation — regardless of source, format, or team — is translated into a unified account timeline. One customer. One view.
AI scores every conversation against your scorecard as it comes in. Mix qualitative criteria (AI-judged 0–100), timing thresholds (pass/fail), and customer feedback signals (CSAT or NPS normalized to 0–100). Coaching notes draft themselves next to the score.
Surface risk signals, coaching opportunities, and cross-team patterns before they become problems. Every human correction refines how the AI scores next — no fine-tuning, no prompt engineering.
See what no single team can.
Across all of them.
Every conversation from every team, stitched into a single account record with AI health scoring. See the full relationship — not just the last ticket.
Every conversation scored against a rubric you define, with three criterion types: qualitative (AI-judged 0–100), timing thresholds (pass/fail), and customer feedback (CSAT/NPS). 100% coverage, no sampling. Scores ship as the conversation comes in — and every human correction refines how the AI scores next time.
Repeated contacts, CSAT decline, churn keywords, unresolved patterns — detected across all teams simultaneously, before the customer tells you.
Every score ships with a coaching note drafted from the exact evidence the AI used — not a vague rating. Agents see specific, criterion-level feedback the same day the conversation happened, so improvement compounds instead of waiting for the next review cycle.
Score trends, team comparisons, lowest-scoring criteria as training gap signals, AI vs. human calibration view. Export-ready for stakeholder reporting.
Surface what your customers are actually saying — pain points, unmet needs, recurring frustrations, new patterns — extracted from the conversations you already have. No surveys. No focus groups. Just the signal that’s already there.
One account.
Every conversation.
The full picture.
Support sees tickets. Sales sees deals. Success sees check-ins. Each team has a fragment of the truth — and none of them know what the others know.
Resonant IQ stitches every conversation from every connected integration into a single account timeline — with AI health scoring that reads the whole relationship, not just the last interaction. Thriving, stable, needs attention, or at risk — assessed continuously, with evidence.
Know which accounts
are at risk.
Before they tell you.
The warning signs are always there. A pattern of repeated contacts in support. A sponsor change buried in a CS note. A sentiment shift in an onboarding call. Churn language in a sales touchpoint.
Resonant IQ watches every conversation across every team and surfaces account risk signals within hours of each sync — giving your CX organization the early warning system it's never had.
“Every team has been doing their job. The evidence was always there. It was just scattered across five systems, three teams, and a dozen conversations nobody ever connected.”
— TJ Baker, founder
Not another platform. The layer under the ones you have.
Every tool your team already uses is doing its job. The problem is that none of them can see the others. Resonant IQ doesn't ask you to replace any of them. It reads from the tools you connect, turns what it finds into evidence you can trace, and puts it back where the work happens, for the people on your team and the AI agents working alongside them.
A risk score without a source is an opinion with a number on it. Every signal here links to the conversations and timestamps that produced it, so the next question, "show me where", has an answer.
Read-only by default. Nobody migrates, nobody re-keys data, nobody argues about which system owns the customer. When an admin turns publishing on, we write only to fields we created, never to one you or another tool manages.
Support, sales, success, and the AI agents working alongside them: every conversation lands in one account timeline and is scored as it comes in, whoever handled it. Your people are scored against your scorecard, your AI agents against the one you designate for them. Every conversation within your plan, not a sample. That is where the sales-call promise and the support-ticket reality finally meet.
Plans are priced on accounts tracked and conversations scored. Seats are unlimited on every plan, because the point is that everyone sees the same picture.
The same evidence, over MCP, read-only, with every answer tied to its source. Live today on every plan.
We built a synthetic 200-account corpus, published it with the prompts and a one-file runner, and ran six frontier models against our own risk engine. The models flagged almost everyone. Ours flagged fewer accounts and was right far more often. See the results and check them →
| If you're looking at… | What it gives you | What Resonant IQ adds |
|---|---|---|
| A customer success platform | A system of record for CS: health scores, playbooks, tasks, renewal tracking | The evidence under the score, from every team's conversations, not just the ones CS logged, with nothing to migrate |
| Your helpdesk's QA add-on | Scoring for the channel it lives in | The same scoring across support, sales, success, and AI agents, tied to account risk, not sealed inside one queue |
| A conversation-analysis add-on | Sentiment and risk flags from calls or email | Flags you can trace to the conversation, plus per-conversation quality scoring and coaching in the same place |
| Another dashboard | A view of the data someone already entered | The conversations nobody entered anywhere |
If your stack isn't on the list, tell us — we'll add it.