Observability and Insights

In the moment insights

Operate with certainty. We provide comprehensive view into every  interaction and transaction, ensuring you never have to question your AI agent's actions.

Full transparency

Reveal the reasoning behind every response

Insights  into the logic and data behind every decision so enterprises can operate with confidence and control.

Detailed reasoning path that shows how the AI arrived at each answer

Policy validation checks to confirm responses comply with internal rules

Source and retrieval attribution to verify what information grounded the response

Action Agent invocation order to show exactly which tools were used and why

Monitor every decision in real time

Complete oversight of AI Agent behavior so teams can detect issues early, enforce policy, and maintain predictable performance.

Full query and response logging for auditability and root-cause analysis

Manual override tools that let teams adjust AI behavior in sensitive scenarios

Compliance-ready audit trails that capture every decision step

Real-time deviation alerts that flag unexpected behavior before it escalates

Complete visibility

See AI Agent performance across all channels

Get the full context of every customer interaction

Measure customer sentiment and experience

Complete oversight of AI Agent behavior so teams can detect issues early, enforce policy, and maintain predictable performance.

AI performance scores and trends to track accuracy and improvement

Containment and hand-off analytics to optimize automation vs human agent routing

Conversation length and engagement metrics to identify friction or inefficiency

Topic and volume breakdowns to understand demand patterns

Customizable KPI reports aligned to business goals

Understand conversations deeply with enriched context that supports QA, training, and journey optimization.

AI-generated summaries that shorten review time

Sentiment and emotion detection to reveal customer tone and shifts

Escalation path tracking to understand how and why issues moved to humans

Action invocation insights showing inputs, outputs, and decision flow

Knowledge and content tracing to confirm what information shaped each answer

Capture how customers feel and identify experience gaps before they affect satisfaction or loyalty

CSAT trends and breakdowns to quantify experience quality

 Sentiment and emotional shifts to detect frustration or delight

 Free-text theme detection to reveal underlying issues or opportunities

 Combined AI Agent and human agent interaction insights to benchmark performance across channels

See AI Agent performance across all channels

Complete oversight of AI Agent behavior so teams can detect issues early, enforce policy, and maintain predictable performance.

AI performance scores and trends to track accuracy and improvement

Containment and hand-off analytics to optimize automation vs human agent routing

Conversation length and engagement metrics to identify friction or inefficiency

Topic and volume breakdowns to understand demand patterns

Customizable KPI reports aligned to business goals

Get the full context of every customer interaction

Complete oversight of AI Agent behavior so teams can detect issues early, enforce policy, and maintain predictable performance.

AI-generated summaries that shorten review time

Sentiment and emotion detection to reveal customer tone and shifts

Escalation path tracking to understand how and why issues moved to humans

Action invocation insights showing inputs, outputs, and decision flow

Knowledge and content tracing to confirm what information shaped each answer

Measure customer sentiment and experience

Complete oversight of AI Agent behavior so teams can detect issues early, enforce policy, and maintain predictable performance.

CSAT trends and breakdowns to quantify experience quality

Sentiment and emotional shifts to detect frustration or delight

Free-text theme detection to reveal underlying issues or opportunities

Combined AI Agent and human agent interaction in

Rigorous standards and evaluation

Validate AI updates safely before production

Evaluate prompts and models for optimal performance

Improve prompts and strengthen responses

Test prompts, models, and logic in a controlled staging environment to ensure accuracy, safety, and compliance before deployment.

 Structured test sets that measure performance consistently

 Prompt and model comparisons to choose the best-performing configuration

 Detection of unexpected behaviors that could impact customers

 Policy and tone alignment checks to enforce enterprise standards

 A/B testing to evaluate variants under identical conditions

Compare prompts and LLMs against defined quality criteria to ensure accurate, consistent, and policy-aligned responses.

Relevance scoring to confirm responses match user intent

Specificity checks to eliminate vague or incomplete answers

Coherence evaluation to ensure responses are clear and logical

Response-length assessment for clarity and controlled verbosity

Side-by-side comparisons to select the highest-performing model and prompt pairing

Analyze prompts and responses to enhance clarity, correctness, and grounding

Retrieval score analysis to improve information grounding

Context gap detection to prevent incomplete answers

Factuality and relevance checks to catch inaccuracies

Validate AI updates safely before production

Test prompts, models, and logic in a controlled staging environment to ensure accuracy, safety, and compliance before deployment.

 Structured test sets that measure performance consistently

 Prompt and model comparisons to choose the best-performing configuration

 Detection of unexpected behaviors that could impact customers

 Policy and tone alignment checks to enforce enterprise standards

 A/B testing to evaluate variants under identical conditions

Evaluate prompts and models for optimal performance

Compare prompts and LLMs against defined quality criteria to ensure accurate, consistent, and policy-aligned responses.

Relevance scoring to confirm responses match user intent

Specificity checks to eliminate vague or incomplete answers

Coherence evaluation to ensure responses are clear and logical

Response-length assessment for clarity and controlled verbosity

Side-by-side comparisons to select the highest-performing model and prompt pairing

Improve prompts and strengthen responses

Analyze prompts and responses to enhance clarity, correctness, and grounding

Retrieval score analysis to improve information grounding

Context gap detection to prevent incomplete answers

Factuality and relevance checks to catch inaccuracies

Continuous optimization

Detection of automation or coverage gaps to expand AI capability

Recommendations for new topics based on live customer behavior

Experience improvement insights that highlight friction points

Behavioral pattern analysis to uncover trends that need attention

Actionable business intelligence

Ingestion of surveys, reviews, social posts, and chats for a complete voice-of-customer view

Theme and trend detection to uncover recurring issues or new pattern

Product and policy friction insights to inform upstream decisions

Operational and automation opportunities identified through real behavioral data