Ops & compliance
Score every call.
Against your own rubric.
Define quality criteria — script adherence, tone, compliance phrases, captured fields — and Finn scores every call automatically. No human QA sampling.
30-minute free trial. No card. No procurement.
How it works
Define.
Score. Track.
Drag, wire, deploy. Each step is reversible — every save creates a versioned snapshot.
Build the rubric
Per-workflow criteria — required phrases, prohibited phrases, tone, compliance disclosures, capture completeness. LLM-judged + rule-based mixed.
Evals passing
4 / 5
Avg score
88.8
+1.2
Calls evaluated
12,840
Auto-score every call
PCA pipeline runs scoring at call end. Sub-30s from call disconnect to full score breakdown.
Outcome
Booked
Sentiment
+0.71
Duration
2:14
▸ captured · intent: booking
▸ captured · slot: Tue 14:00
Track drift live
Dashboard shows score trends per workflow. Alerts on drops below threshold. Compare across cohorts, time windows, rep assignments.
Calls today
12,840
+8.1%
Pickup rate
94.2%
+1.4%
Avg sentiment
+0.71
+0.08
Talk minutes
48,212
+12.0%
Call volume · last 30 days
QA-grade quality, automated
Catch drift.
Prove compliance.
No bolt-ons. No second platform. Every primitive ships with the editor.
Custom rubrics per workflow
Sales workflow scores differently than collections. Build the criteria that match how your team defines quality.
LLM-judged + rule-based
Subjective criteria (tone, empathy) judged by LLM. Objective criteria (required phrases) matched by rules. Best of both.
100% call coverage
Every call scored. Not a 5% sample. Drift surfaces immediately, not weeks later.
Compliance audit trail
Required-phrase compliance auto-tracked + reportable. Useful for TCPA, GDPR, HIPAA disclosures.
Shipped in production
Real teams, real outcomes.
“TOFA launched a national campaign with Finn — 10K+ calls daily and seamless human escalations.”
Alice Smith
Senior Engineer, Gofts · TOFA
Trust + ecosystem
Plugs in. Audits clean.
Wires into your existing stack via 100+ connectors. Compliant from day one across the workloads that demand it.
Don't see yours? Finn plugs into any system via REST + webhooks.
FAQ
Questions and answers.
What can I score against?+
Anything observable in the transcript or call metadata — required phrases, prohibited words, tone, sentiment, capture completeness, workflow path taken, duration, escalation outcome.
How are subjective criteria like 'empathy' scored?+
LLM judges with calibrated prompts. Each workflow's rubric can include subjective criteria that are scored against examples + rubric language you define.
How accurate is automated scoring?+
Calibrated against human QA samples — typically 85-92% agreement with human scorers in the steady state. Outliers surfaced for human review.
Can I see trending over time?+
Yes — per-workflow score trends, per-rep, per-cohort, per-time-window. Set alert thresholds for drift detection.
Is the rubric versioned?+
Yes — rubric changes are versioned. Past calls scored against the rubric that was active when they happened. Re-score on demand if rubric changes.
QA at scale
Replace 5% sampling
with 100% coverage.
Evals scoring runs against every call, surfaces drift the moment it happens, and gives you a per-workflow quality dashboard that updates in real time.