Intent
Classification with confidence per utterance.
- Cancel
- Renewal
- Upgrade
- Refund
- Onboarding
- + 24
AI scores intent, sentiment, objections and compliance across voice, chat and messaging at the scale your QA team can't manually touch.
Chen, R.
Refund payment
Mokoena, N.
Renewal upsell
Patel, S.
Onboard stuck
Nguyen, K.
Pricing stall
Most contact centers sample a fifth of one percent for QA. The rest goes into storage nobody reviews. The scoring engine works across the whole archive and tells you which conversations actually moved the number. See the Gartner definition for context.
Classification with confidence per utterance.
Trajectory across the full conversation.
Detection against the stalls your team fights.
Phrase detection for regulated conversations.
Scored conversations export to Snowflake, BigQuery, Redshift or Postgres alongside interaction analytics.
TKOS Scoring Engine
intent sentiment objection compliance
Snowflake
tkos.scored_calls
240mssyncedBigQuery
ds_tkos.calls
310mssyncedRedshift
tkos_calls
380mssyncedPostgres
tkos.calls
190mssyncedTemplates handle the obvious. Your archive answers the questions templates can't including sales intelligence and sentiment analysis. Train on a sample, retrain when products change, and run the engine over a year of recordings to find what you didn't know was there.
Custom intents
Train on your taxonomy
No codeBackwards scoring
Score the archive
Batch Q3 2024Started Tue 09:42 ETA 14 min
Discovered patterns
RevOps, QA and analytics leads moved off random call sampling and onto whole-archive scoring. The result: real signal on what closes, what stalls and what gets the cancel email.
Aishwarya Krishnan
Head of RevOps
Halo Cloud Services
“We were sampling forty calls a week. Now every conversation is scored and joined to Snowflake. Pipeline reviews finally agree with what reps say.”
Tom Whitaker
VP Quality
Stratus Digital
“Backwards scoring on a year of calls turned our archive into a goldmine. We found three objections we didn't even know we were losing on.”
Lebogang Sithole
Director of CX
Kalahari Tech
“Custom intents took an afternoon. Our QA lead retrained the model herself when we launched a new SKU no data scientist, no ticket.”
Mariana Costa
Analytics Lead
Acme Solutions
“The data lands in BigQuery exactly the way we need it. Joining sentiment to revenue is now a SQL query, not a quarterly project.”
What QA, RevOps and data leads ask before they switch their analytics stack onto whole-archive scoring.
No. The engine runs on recordings and transcripts TKOS already captures. Existing archives can be imported for batch scoring.
Run TKOS Conversation Intelligence on your real traffic for 14 days. Whole-archive scoring, custom intents, warehouse-ready output.