Stop a bad call becoming a fine, a complaint, or a lost customer.
CanString checks your calls, emails and chats for the lines that must be said, the mood that warns of churn, and the mistakes that turn into complaints — and flags them early. Every score comes with its reason, and a person can change any of it. On your own models, on your own servers.
How it works
From a conversation to a scored record
A conversation ends, a scored record begins and every step in between is one you can open and check.
Collect the conversation
It brings in calls, voicemails, emails, chats, surveys and social from your recording system and channels.
Turn it into text
Speech becomes text, and any language becomes one your team can read, 60+ of them, mixed-language calls included.
Let the AI read it
The AI models sort it, read the mood, and pull out the key points and the questions that were asked.
Score it on your checks
It grades each conversation against the checks you set, and shows the exact lines behind the score.
Review and act
A person confirms or changes the score, serious breaches get flagged, and coaching follows. People keep the final say.
Voice and non-voice
Not just calls, every channel your customers use.
The Analyzer reads spoken and written conversations the same way, so a complaint in an email or a chat is caught just like one on a call. It even checks the emails and replies your own team drafts.
- Calls, voicemails and your AI voice-agent conversations
- Email: including the quality of the drafts and replies your team sends
- Chat, surveys (CSAT / NPS) and public social mentions
The AI models
Six AI models read every conversation
Each one does a single, simple job, together they turn a raw call or message into something you can see, score and search.
Sort by reason
Tags every conversation by topic and sub-topic, so you can see what people are really contacting you about.
Summerize
Turns a long call or thread into a clear summery, so no one has to sit through the whole thing.
Mood and emotion
Reads how the customer felt during calls.
Happy, upset, at risk — not only what was said.
Key points & questions
Pulls out the important words and phrases, and the questions that were asked and answered.
Quality score
Grades the conversation on the checks you set, and shows the lines that earned or lost each point.
Transcribe & translate
Writes down what was said and puts 60+ languages into one your team can read and score.
The controls
You decide what "good" looks like.
Set your checks, let every conversation be scored against them, and keep a person in charge of the result.
Your own checks
Choose the points every conversation is scored on, no fixed template you can't change.
Change any score
A reviewer can raise or lower any AI score, and the reason is saved. The AI suggests; a person decides.
Compliance & breach rules
Mark the lines that must be said and the ones that must not; a miss is flagged on its own.
Who sees what
Control who can open which conversations, so sensitive calls stay with the right people.
Your models, your servers
Runs on your own models on your own servers: recordings never leave your walls.
Find any conversation
Search every conversation for a word or phrase and pull up each one that used it.
Why it matters
What it changes for the business
The point isn't the score, it's what full, trusted coverage lets you do next.
See the whole picture
With every conversation scored, you're not guessing from the handful of calls someone had time to check.
Prove it when asked
When a regulator or a client asks, each conversation is scored and each flag keeps the exact line as proof.
Coach on what's real
Scores your team trusts suggested by AI, confirmed by a person, turn reviews into clear coaching.
Same scoring
Human and AI agents are scored the same way, so quality is easy to compare across the floor.
Use cases
Where full-coverage audit earns its place
Point it where a missed conversation costs the most: compliance, revenue, or a client's trust,
then widen from there.
Collections
Compliance on every collection call
Required disclosures and fair-treatment checks on all of them, not a lucky few.
Banking
Spot complaints & mis-selling
Surface the calls that put the bank at risk, on their own, as they happen.
Insurance
Claims & renewal call QA
Score claims and renewal calls for accuracy, disclosure and tone.
Insurance
Catch churn early
Read the mood that warns of a lapse before the customer walks away.
Contact center
Auto-QA at scale
Swap slow manual sampling for steady, automatic scoring on every call.
BPO
Prove SLA to your client
Give every client a scored, checkable QA record they can trust.
Coaching
Fair, specific coaching
Turn scored calls into clear, agent-by-agent coaching the floor accepts.
Sales
Outbound & sales-call QA
Check the pitch and the required lines on every outbound call.
Non-voice
Email & chat quality
Check written replies for accuracy, tone and compliance, the same checks.
Voice of customer
Survey & social read-out
Read survey and social feedback next to the calls that explain it.
From audit to action
Every scored call adds up to what to fix.
The scores don't just sit in a report. They come together into a weekly picture: which agents to help, which calls a compliance officer must see today, and where quality is moving.
- Quality agent by agent, for people and AI agents alike
- Serious-breach and compliance calls flagged on their own
- Topic and mood trends across all your conversations
Customer insights
Hear what customers keep telling you.
The same reading that scores a call also tells you why customers are getting in touch: the themes they repeat, how they feel, who is about to leave, and who is ready to buy more.
- The themes customers raise most, ranked
- Mood across every conversation, not a sample
- Churn warnings and sales openings, sent to the right team
How we're different
What sets the CanString Analyzer apart
The things a regulated buyer weighs: how much you can cover, whether the score can be trusted, and where your recordings sit — decided in your favour.
Stated as facts about CanString. The right-hand column describes the common pattern across the category, not any single provider.
One system
One of four platforms:
built to work together
Voice agents make and take the calls. The rest of CanString feeds them, scores them, and reports on them — no second vendor.
AI Voice Agents
Grounds every reply in your own documents and knowledge base.
AI Knowledge Assistant
Grounds every reply in your own documents and knowledge base.
AI Analyzer
Audits and scores every call the agents make, on your rubric.
AI Insights & BI
Rolls volumes, containment and sentiment into dashboards you can question in plain language.
Questions
Answers before you ask
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.