Upload a call and get a complete analysis that reflects how your business actually works. You control what good means, your processes drive the score, and every result traces back to your policies, with a full dimension breakdown, compliance gaps flagged, and a coached rewrite. Available in 100+ languages.
Nine dimensions scored with the exact moment behind each one, so the grade is consistent and defensible.
Every score links back to the exact moment in the call, so feedback is specific and agents accept it.
Missed disclosures and skipped verification are flagged on the call, with the transcript line, before they become a liability.
Each dimension is evaluated for clarity, accuracy, empathy, control, compliance, and outcome quality.
Your products, policies, processes and regulations, connected as a context graph that is built over years of domain deployment, not typed into a prompt. So the call is judged the way your domain actually works, and the result is a score you can trust, reproduce, control, and defend.
Judged the way your domain works.
Scored against domain structure built over years, not a model's general guess, so fewer calls that look fine slip through.
Same call, same score, every time.
Because the logic is built on your domain rules, not a model's inference.
You decide what good means.
Your process order, your policies and your domain rules drive the score, not a generic template.
Every score traces to its rule.
Each result links to the exact policy, process step or regulation it is grounded in.
Built once as shared structure and reused on every call, so scoring stays fast, consistent, and cost-stable at scale.
Inbound retention call. A long-standing, high-value subscriber on contract, calling again about repeated dropped connections. Illustrative example.
The agent was polite, verified the account, offered a discount, and closed warmly. Every empathy and courtesy box is ticked, so the call reads as a strong one.
Drop in a recorded call and Call Quality Manager does the rest: it transcribes the audio, scores all 9 dimensions, assigns a grade, and writes the recommended changes with a summary. No manual listening, no scorecards by hand.
A warm, well-resolved support call that loses points on compliance. The agent never disclosed recording and skipped identity verification before opening the account, and sentiment barely moved. Coaching the opening and verification steps would lift this call to an A.
Coaching the opening and verification would lift this call to an A.
Each dimension is scored against its own weighted maximum, so the analysis is consistent and repeatable, not a gut call.
Call Quality Manager rewrites the same call the way a top performer would handle it, then re-scores the rewrite so the improvement is measurable, not just advice. Illustrative example.
The system does not stop at scoring. It identifies what should change and turns analysis findings into coaching actions.
Low-scoring dimensions become a specific, ordered set of steps for the next call.
Every weak dimension on the call gets reason signals, a coaching action, and a next-call checklist.
Scores, grades, rewrites, notes, checklists, and manager summaries for QA, coaching, and audits.
Scanning a call by ear, the missed disclosure, the skipped verification, the promise your policy can't back, are easy to hear past, until one surfaces as a complaint, a dispute, or a fine.
The call opened without the recording and monitoring notice your policy requires.
The agent discussed the account before confirming the registered number.
A resolution was promised the business cannot honor, a dispute waiting to happen.
Three ways teams grade calls today: manual sampling, a generic AI scorer, and Call Quality Manager. Here is where each lands on the criteria that decide a rollout.
Your recordings stay with your team. Access is yours to control.
Your calls are never used to train AI models, ever.
Data residency for BFSI and regulated teams who need it.
Call Quality Manager analyzes the recorded call against how your business actually works, scores it with the moments as proof, flags the compliance gaps, and writes the coached rewrite, so the feedback is specific, consistent, and hard to argue with.