AI Conversation
Analytics
Improve transparency of customer communications, service quality, management speed and post-call automation — with AI-powered analytics for your contact centre.
Every interaction, not a 3% sample
Supervisors coach instead of re-listening
Scores and flags land in your systems
Trusted by enterprise leaders
Pain points
Challenges we solve
What stays invisible when only a fraction of calls is reviewed.
Limited communication transparency: no holistic view of calls, topics and dialogue quality across the contact centre
Heavy manual QA and analysis: QA managers spend days reviewing and scoring calls manually
Late problem detection: script violations, complaints and loss patterns tracked inconsistently
No automated post-call actions: CRM updates, escalations and task creation done manually with delays
Methodology
How we deliver it
Our 6-step methodology takes you from call recordings to 100% coverage with your own scoring rubric.
Every interaction scored, not a 3% sample.
Criteria mirror your QA standards, calibrated with your team.
Scores and flags land in the systems supervisors already use.
Map current call handling, QA process, CRM workflows and data flows to define integration and automation scope
Configure speech-to-text for your languages, audio quality and domain vocabulary — contact centre optimised
Build topic extraction, sentiment analysis, script compliance checking and quality scoring models
Define quality rubric, scoring rules and automated flagging criteria for script violations and compliance issues
Connect post-call automation: CRM data updates, task creation, escalation routing and commitment capture
Deploy role-based analytics dashboards for operators, supervisors, QA, management and C-level
Interactive tool
See call analytics
Click a sample call to see AI-generated analytics, transcript and quality score.
Call analytics demo
Explore how AI turns conversations into insights and action.
What you get
Deliverables
100% call transcription
Every call transcribed automatically — no sampling, no manual listening — full population analytics
Topic & intent extraction
Automatic categorisation of call topics, customer intents, objections and outcomes across all calls
Automated QA scoring
AI scores every call against your quality rubric — script compliance, mandatory phrases, escalation triggers
Post-call automation
Triggers CRM updates, task creation, commitment capture and escalation routing based on call content
Role-based analytics dashboards
Operator, supervisor, QA and management views with drill-down into individual calls and trends
Multilingual support
Handles multilingual environments, noisy audio and non-standard domain vocabulary out of the box
Market benchmark
Contact centre QA: 3% sampling vs 100% coverage
How much of what your customers actually hear gets reviewed by anyone — industry surveys, 2024–2026.
Sources: NICE 2024 Contact Center Industry survey — average 3% review share in regulated UK/US centres · Creovai QA-automation analysis (1–3% manual ceiling) · Omind AI Call Auditing Buyer’s Guide 2026 (1–5%). Industry ranges, not guarantees.
ROI
Estimate your savings
ROI estimator
Industry benchmarks — ranges, not guarantees
Why us
Why clients trust us
Proven contact centre experience — projects with quality control, role analytics and CRM/ERP/SAP integrations across industries
Not just analytics — actions — call search, meaning extraction, post-call process launch and CRM automation
Speech + AI + LLM expertise — handles large volumes, multilingual environments and noisy/low-quality audio
Adapts to client maturity — from pilot to full production with integrations, security and compliance requirements
Technology
Tech stack
Timeline
Project timeline
Real results
Case studies
Auto parts distributor — QA analytics
AI Conversation Analytics for a large auto components distributor with high inbound call volume. 100% call transcription, quality control, deviation detection, full CRM/ERP/SAP integration. Result: +3.1% conversion rate, -38% ACW, -70% QA time.
Telecom — speech analytics archive
Speech Analytics and AI search for a major telecom operator. Audio recordings from call centre transcribed, indexed for semantic search. Unstructured call archive transformed into a live analytics tool accessible to non-IT users.
Bank — post-call commitment capture
AI extracts key agreements, decisions and mutual obligations from banking calls. Generates official client letter with achieved agreements, routed for automatic sending or manual review before dispatch.
Frequently asked questions
Questions we hear most often
How long does implementation take?
A typical rollout takes 6 to 10 weeks, including integration with telephony and CRM.
How many calls are analysed?
All of them. Unlike manual QA, which samples a small share of conversations, every call is transcribed and scored automatically.
Which languages are supported?
Speech-to-text works multilingually, including Romanian and Russian, which matters for contact centers in Moldova.
Ready to analyse every customer conversation?
Get a personalised consultation on AI Conversation Analytics.