AI Call Analytics That Reviews Scores and Summarizes Every Call
Replace random call sampling with consistent QA across every recorded conversation. Managers get KPI scores, compliance flags, and coaching recommendations without listening to hours of recordings.
Managers can’t listen to every call, but quality depends on it
Quality assurance is usually a painful mix of sampling, manual scoring, spreadsheets, and slow coaching loops. Important issues hide in “normal” calls, and reps repeat the same mistakes until someone finally catches them. JotLink analyzes every conversation automatically, scores what you define, and sends the right insights to the right people without managers living inside recordings.
What is AI call analytics?
AI call analytics is software that records, transcribes, and analyzes 100% of calls on a business phone line - not the small samples manual QA usually covers. JotLink’s AI analyst applies your instruction packs to every conversation and turns each call into summaries, KPI fields, QA scorecards, and coaching recommendations, delivered to the right stakeholder via email, SMS, messenger, or API, starting at $1 per 100 minutes of analyzed calls. Sometimes called conversation intelligence or speech analytics software, it also tracks sentiment, topics, and script compliance on every call.
Turn every call into
structured QA and KPIs
The AI analyst is configured on your phone line. It records conversations, then runs multiple instruction packs to produce summaries, QA scores, KPIs, and recommendations. Each output is routed to the right stakeholder and channel automatically.
Connect your line
Enable recording and analytics on your business number.
Define instructions
Set up multiple instruction packs for QA, KPIs, and coaching.
Analyze every call
Generate summaries, metrics, flags, and scorecards from the recording.
Split by stakeholder
Send different outputs to managers, reps, ops, or compliance.
Deliver via any channel
Email, SMS, messenger chats, or API payloads into your systems.
Built for teams that
win or lose on call quality
Sales, support, billing, and operations can run different analytics on the same call and receive role-specific outputs automatically.
Sales call coaching
Score discovery quality, objection handling, and next-step clarity. Managers get QA scorecards and coaching notes. Reps get action items and examples, without waiting for a manual review.
- Detect weak discovery and missed qualification
- Track talk ratio, objections, and next-step commitments
- Send coaching recommendations by rep automatically
Support QA and escalation quality
Measure resolution quality, empathy, compliance, and escalation correctness. Route exceptions to the right tier with a clear summary of what happened on the call.
- Flag recurring issues and policy misses
- Track CSAT signals and resolution outcomes
- Send escalation packets with the key context included
Billing / collections quality
Track promises-to-pay, verification steps, and compliance language. Send structured KPIs and exception alerts to finance leads without manual listen-through.
- Extract payment intent and promised dates
- Score compliance and required disclosures
- Route exceptions to finance or compliance automatically
QA automation for managers
Replace manual sampling with continuous analytics. One call can produce multiple outputs: a manager scorecard, a rep coaching note, and an ops KPI update, all sent to different people.
- Analyze 100% of calls instead of a small sample
- Generate per-agent QA trends and KPIs
- Deliver coaching-ready feedback immediately
What you get
from every call
Multiple instructions per call
Run different analysis packs on the same conversation, each tuned to a role, team, or KPI.
Automated quality assurance
Replace manual listening with scoring rubrics, exception flags, and trend tracking at scale.
Coaching-ready recommendations
Managers and reps receive actionable feedback and suggested fixes, not raw recordings.
Deliver insights everywhere
Send outputs by email, SMS, messenger chats, or via API into CRM, helpdesk, or BI tools.
Build your QA analytics workflow
Scope pricing around call volume, instruction packs, delivery channels, and integrations. Start with one team, then expand once the rollout is proven.
Questions buyers ask about
AI call analytics
These are the questions buyers usually ask about recording coverage, QA scoring, stakeholder routing, and integrations.
Yes. The AI analyst can record and analyze calls on your line, then generate structured outputs like summaries, KPIs, and QA scorecards automatically.
Yes. You can configure multiple instruction packs so the same conversation is analyzed in different ways, then routed to different recipients based on their role.
Summaries, KPI fields, QA scores, compliance checks, recommended coaching notes, flags, and role-specific action items based on your instructions.
Email, SMS, messenger chats, and via API to your internal systems. Each output can be routed to the channel and stakeholder you specify.
Yes. You can define scoring rubrics and coaching instructions, and the AI analyst will flag issues, summarize mistakes, and suggest improvements per agent.
Yes. One analyst can run many different instructions per call (KPIs, QA, compliance, summaries, and recommendations), and distribute each output to the right audience.
Yes. You can send analytics via API into your CRM, ticketing, data warehouse, or any system that can receive structured payloads.
No. The goal is to automate the manual listening and scoring work so managers can coach faster and focus on the highest-impact conversations.
Modern conversation intelligence reaches near-human accuracy on defined scorecards - and unlike manual QA, it reviews 100% of calls instead of a 1-2% sample. You define the criteria, spot-check the first weeks, and refine instructions; accuracy improves as the system learns your standards.
Yes. Alongside QA scores and KPIs, the speech analytics layer can track caller sentiment, escalation signals, objections, and topic trends across every conversation, so managers see how customers actually feel - not just what was said.
Stop guessing call quality.
Automate QA and coaching
We will review your current QA process, what you score today (or wish you could), who needs which insights, and where outputs should be delivered. Then we’ll show how JotLink turns every call into structured summaries, KPIs, QA scores, and coaching recommendations automatically.