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Management defines criteria
Quality criteria, reference content, policies, tone of voice and goals guide the analysis.
Turn customer conversations into operational intelligence with AI-generated insights, automated quality analysis and practical data to continuously monitor and improve the team.
Track sentiment, quality, recurring topics and risk points without relying on manual sampling.
See individual Agent Growth, skill gaps and coaching opportunities based on real interactions.
Prioritize training, processes and improvements with clear indicators for CX and support leadership.
Tolv Signals reads conversation history, organizes actionable insights and shows where the operation can reduce friction, increase resolution and guide Agent Growth more precisely.
Request a demoSignals connects quality definitions, real conversations and AI analysis to turn service into indicators, insights and guided practice.
Quality criteria, reference content, policies, tone of voice and goals guide the analysis.
Human service happens normally in the channels defined by the operation.
AI evaluates sentiment, topic, clarity, empathy, effort, resolution, delays and friction.
The operation tracks AI-inferred CSAT, estimate confidence, sentiments and opportunities.
Reports show trends by period, team, agent, channel, topic and evaluated criterion.
Practice scenarios are generated based on real interactions and management definitions.
Tolv Signals analyzes conversations, identifies patterns, tracks team Agent Growth and shows where each agent can improve more consistently.
Evaluate interactions with consistent criteria and track score evolution by agent, team and period.
Identify behavior patterns, recurring objections and improvement opportunities hidden in conversations.
Guide training based on real performance data, not loose operational perceptions.
Define which conversations should be processed to reduce noise and focus on the interactions that matter.
Each analyzed interaction feeds indicators that help leaders track performance, correct deviations and sustain continuous improvement in the operation.
Understand the tone of the conversation, frustrations, satisfaction and relationship risk signals.
Evaluate objectivity, empathy, interaction handling and adherence to the expected standard.
Monitor whether the issue was solved, whether the handoff was correct and whether the customer left with clear guidance.
Classify subjects, objections, contact reasons and recurring operational opportunities.
Detect critical conversations, process failures and interactions that require leadership review.
Turn support data into practical recommendations for Agent Growth, coaching and onboarding.
Beyond reports, Signals creates sessions where AI simulates customers in different support scenarios. Practice can focus on Agent Growth for an agent’s weak points or preparing new agents during onboarding.
Tolv Signals lets you define exactly which conversations should be processed, reducing operational noise and focusing AI on interactions that generate real insights.
Talk to Tolv to request Signals activation or schedule a demo with our team.