AI Speech Analytics
for Call Centers
Automatic post-call scoring, compliance monitoring, and performance insights across every conversation.
Automatic post-call scoring, compliance monitoring, and performance insights across every conversation.
Manual QA reviews a fraction of calls, so coaching gaps, compliance misses,
and quality issues stay invisible until it's too late.
Every capability is designed as a configurable framework, not a fixed model. Teams define what good looks like, and Krisp applies it to every call.
Automated scoring covers 100% of calls. Your QA team can drill in, verify scores, and override where their judgment calls for it. Automated scoring handles the scale; reviewers focus where it matters.
When every call is scored, patterns become visible. Supervisors track quality over time and identify coaching opportunities based on real data, not a handful of reviewed calls.
Compliance rules are applied to every call after it ends. Each potential issue is flagged with the exact transcript moment where it occurred, so teams can review in context and act, not reconstruct weeks later in an audit.
100% of calls analyzed. Different teams use that visibility differently.
Evaluate more.
Review less manually.
Full-coverage scoring without adding headcount.
Quality data,
not quality impressions.
Track trends across every call, not a sample.
From periodic audits to
continuous oversight.
Violations flagged post-call on every call,
not weeks later.
Full visibility into call quality, without data exposure risk.
Visit our trust centerGetting started
Install Krisp
One install on agent devices. Works across all CCaaS and softphone platforms.
Configure your quality standards
Set your scoring criteria, compliance rules, and QA scorecard questions from the admin portal.
Go live
Every call is analyzed post-call from day one. No calibration period, no ramp time.
Review and act
Scores, summaries, compliance flags, and trends appear in the admin portal after each call.
Krisp acts as a smart layer between the agent's headset and any softphone. Speech Analytics works through the same layer. No per-platform integration required.