Lower cost to serve, without lowering your scores.
AI voice agents absorb tier-1 volume and 100% automated QA replaces manual sampling, so the same floor handles more at a lower cost per contact — with quality you can prove on every call, human and AI agents on one scorecard. On your own infrastructure.
How it works
Across the whole conversation lifecycle
One system answers the contact, reads what happened, scores it against your rubric, and keeps the evidence, from the first hello to the record you hand your client.
Handle the contact
AI voice agents take tier-1 volume across voice, chat, email and IVR, and hand off to a person with the context when needed.
Understand every call
Every contact is transcribed, translated across 60+ languages, and categorized with subcategory, so the data is precise, not generic.
Score on quality
Automated QA runs against your own rubric on every interaction, not a 2% sample, with manual override and fatal-call flags.
Coach the floor
Auto-extracted Q&A and agent-level scores feed coaching and an AI-powered LMS, so the score you measure lifts the floor.
Prove it to the client
Disclosure, consent, and SLA rules scored on every call, so you hand your end-client a defensible per-call record, not a sample.
Coaching & enablement
Turn every scored call into a better next one.
The QA score is only worth what you do with it. CanString pulls the real questions and best answers out of your own calls, turns them into lessons in an AI-powered LMS, and feeds agent-level coaching, so the number you measure today becomes a better call tomorrow, without pulling a supervisor off the floor to build the training.
- Q&A auto-extracted from real calls becomes ready-made training
- Agent-level scoring with a clear next-best-action
- An AI-powered LMS, so coaching scales with the floor
Human + AI agents
One scorecard for the whole floor, people and bots.
As AI voice agents take on tier-1 volume, the day splits between people and machines. CanString grades both on the same rubric, in the same dashboard, so quality doesn't fork the moment you add an AI agent, and a fatal call gets flagged whoever, or whatever, made it.
- Human and AI agents on one rubric, one dashboard
- Fatal-call flags on every interaction, human or AI
- Categorization and sentiment on 100% of calls, not a sample
Land on QA, expand across the operation
One platform, more of the floor
Start on the program that carries the most audit and compliance risk. The same engine, models, and on-premise deployment then extend to the next queue and the next account, without a second vendor.
Automated QA & compliance
Every call scored against your rubric, human and AI agents together, with fatal-call flags.
- 100% call audit, not a 2% sample
- Human + AI on one scorecard
- Required-disclosure & consent checks
AI voice agents & assist
Deflect tier-1 volume, and give agents answers from your own documents.
- Tier-1 self-service voice agents
- AI-to-human transfer with context
- Agent assist from internal docs
CX & VoC analytics
Read every voice, email, chat and IVR contact across 60+ languages.
- 60+ language transcription & translation
- CSAT/NPS & survey analytics
- Email, chat & IVR analytics
Outbound & sales QA
Score outbound and sales campaigns, and catch the cross-sell on the line.
- Campaign & outbound call QA
- Cross-sell & upsell signals
- Calling-window & consent compliance
See it on your own calls
Bring us ten of your calls.
We'll show you the analyzed result.
We'll run CanString against your own conversations, audit them end to end, and
show you exactly what full coverage looks like for your team.