QA scoring on your own scorecard
Your evaluation sheet mapped 1:1, criteria edited drag & drop. Every call scored the same way, every day.
Quality Assurance → Platform
Conversation intelligence that hears 100% of your calls
InOro transcribes, scores and analyzes every customer call — service quality, compliance risks and revenue signals in one dashboard, ~60 seconds after each call ends. Not a 2% sample.
Conversation intelligence — is AI that turns customer conversations into business data: transcripts, quality scores, topics, sentiment and compliance flags. InOro applies it to 100% of your contact center calls — automatically, in the background, with no changes for your agents — and lets you question your entire call history in plain language.
How it works
From recording to decision in three steps
- 1
Connect recordings
API, SFTP or native connectors for Genesys, Avaya, Cisco. No telephony changes, nothing new for agents. Live in 1 day.
- 2
AI analyzes every call
Transcription with speaker separation, scoring against your own QA scorecard, topic categorization, sentiment, compliance and sales-signal detection. Results ~30–60 seconds after each call ends.
- 3
Act on insights
A manager dashboard with alerts and trends, reports per team and campaign, or just ask the AI chat: Which calls had price objections this week?
One platform
One platform, every conversation
Topics and reasons for contact
Automatic categorization of why customers call, with volume and priority. Fix the cause, not the symptom.
Sentiment timeline
How the customer's mood shifted during the call, plus automatic flagging of critical or escalation calls.
Compliance detection
Missing identity verification, missing GDPR clause, SLA breaches, AML flags — surfaced the same day, not at audit time.
Compliance solution →Sales signals
Cross-sell and upsell cues, churn risk, and what your best closers do differently.
Sales Intelligence →AI chat — ask your calls
Question 100% of your call history in plain English or Polish and get answers with the calls to back them up.
AI Chat → At a glance
The numbers behind the platform
- InOro analyzes 100% of calls; manual QA typically reviews ~2%
- Score and alerts ~30–60 seconds after each call ends (post-call — InOro is not a voicebot and doesn't record calls)
- Automated QA runs at ~20% of the cost of manual review
- Implementation in 1 day, agents change nothing
- EU hosting or full on-premise — data never leaves your infrastructure
- From €0.05 per analyzed minute, no per-seat fees
The shift
What changes when you see every call
| Manual review | InOro conversation intelligence | |
|---|---|---|
| Coverage | ~1–2% of calls | 100% of calls |
| Time to insight | days–weeks | minutes after the call |
| Consistency | varies by reviewer | same criteria on every call |
| Cost | ~10 people listening | system + 1–2 analysts (~20% of the cost) |
| Coaching | based on memory and anecdote | based on each agent's full call data |
Ask your calls, get answers
Which calls had customers mentioning price concerns?
Found 47 calls with price objections. Top agent: Sarah (12 calls, 8 resolved). Avg. resolution time: 3m 24s.
Illustrative example with demo data.
Proven at production scale
10M+
Minutes analyzed
in production
1,700+
Agents at a single client
scaling across teams
10+
Active customers
BPO, BFSI, Retail
Anonymized case: agents mentioned the current promo in only 60% of calls — where they did, 92% ended in an order. Found in week one of full coverage.
Works with your stack — no rip & replace
GenesysAvayaCiscoREST APISFTPPower BI / TableauWebhooks
All integrations → Enterprise security by default
🛡️
EU hosting, supports GDPR compliance
Data stored and processed exclusively in EU data centers.
🛡️
On-premise option
Data never leaves your organization if you require it.
🛡️
SSO, SAML 2.0, RBAC, audit logs
Enterprise access controls and full trail of every action.
🛡️
Sensitive-data anonymization
PII masking in transcripts and analytics views.
Frequently asked questions
What is conversation intelligence?
AI analysis of customer conversations: transcription, quality scoring, topic and sentiment detection, and business insights — applied by InOro to 100% of contact center calls instead of a manual sample.
How is it different from speech analytics?
Speech analytics is the layer that turns audio into structured data; conversation intelligence uses that data to answer business questions — quality, compliance, revenue. InOro includes both. Speech Analytics
Is this like Gong?
Gong targets B2B sales meetings. InOro is built for contact centers: QA scorecards, compliance, per-minute pricing, EU hosting and white-label for BPOs.
Do agents have to change anything?
No. InOro works in the background on recordings from your existing system. It doesn't record calls itself and isn't a voicebot.
Does it work in real time?
InOro analyzes calls post-call — scores and alerts arrive ~30–60 seconds after each call ends, so anomalies surface the same day.
What languages are supported?
English and Polish. Contact us about other languages.
How long is implementation?
Typically 1 day via API, SFTP or native connectors (Genesys, Avaya, Cisco).
See your calls through AI's eyes
30-minute demo on your calls. 30-day free pilot.