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Voice AI TestingCustomer Experience Monitoring: Metrics and Setup Guide
Customer experience monitoring tracks live CX delivery, not just survey scores. Get the metrics, thresholds and setup steps that catch failures first.

Atul Jain
Fri Aug 21 2026 · 12 min read
Voice AI TestingCustomer Service Quality Assurance: Build a QA Program
Customer service quality assurance, done right: build a QA scorecard, size your review sample, measure reviewer agreement, and get the sampling maths.

Adarsh Raj
Fri Aug 21 2026 · 14 min read
Voice AI TestingEnterprise voice AI testing platform
What makes a voice AI testing platform enterprise grade: scored repeats at production concurrency, role scoped access, PII redaction before ingestion, and release gates that run in CI. How Cekura covers each requirement.

Atul Jain
Fri Aug 21 2026 · 11 min read
Voice AI TestingMulti-agent voice AI testing
Multi-agent voice AI testing checks the seams between agents: routing, handoff, context transfer and recovery. How to automate it and scale it across telephony platforms. The benchmark figures cited are single-agent configurations, not multi-agent results, the 81% stage figure is arithmetic on assumed inputs, and the multi-agent failure taxonomy cited is drawn from non-voice tasks.

Shashij Gupta
Fri Aug 21 2026 · 10 min read
Voice AI TestingBooking and reservation flow testing for voice AI agents
Booking and reservation flow testing for voice AI agents, end to end: slot confirmation, double-booking, reschedule state, and calendar or PMS write-back, with task completion measured across 7 provider-selected configurations on Cekura Bench.

Rishabh Sanjay
Fri Aug 14 2026 · 11 min read
Voice AI TestingConversational IVR: Definition, Metrics and Why It Matters
Conversational IVR replaces keypad menus with natural speech. What it is built from, how it differs from touch-tone IVR, and the metrics that show if it works.

Janhvi Nandwani
Fri Aug 14 2026 · 11 min read
Agentic ResourcesEvals: Definition, Metrics and Why It Matters
Evals are systematic tests that measure AI output quality. What an eval contains, how graders score it, and the mistakes that make an eval suite untrustworthy.

Atul Jain
Fri Aug 14 2026 · 11 min read
Agentic ResourcesG-Eval: How LLM-as-a-Judge Scoring Actually Works
G-Eval scores generated text with an LLM judge, no reference answer needed. How it works, what its correlation figures mean, and where the method breaks.

Atul Jain
Fri Aug 14 2026 · 12 min read
Agentic ResourcesHuman Evaluator: Definition, Metrics and Why It Matters
A human evaluator scores AI output that automated metrics cannot judge. What they measure, how much they agree with each other, and when to automate instead.

Adarsh Raj
Fri Aug 14 2026 · 11 min read
Agentic ResourcesLLM Testing: How to Test Model Behaviour
LLM testing checks model behaviour, not just code. Learn the five test layers, deterministic vs model-graded checks, and how to run an LLM test suite in CI.

Tarush Agarwal
Fri Aug 14 2026 · 16 min read
Voice AI TestingTools to test voice AI agents built on Bland AI
Bland AI ships Testbed, Standards, Scenarios and Evals natively. Cekura adds a native Bland AI provider that places outbound test calls, scores delivered audio, and auto-fetches production calls every 30 seconds.

Lavish Gulati
Fri Aug 14 2026 · 10 min read
Voice AI TestingTools to Test Voice AI Agents Built on Twilio ConversationRelay
ConversationRelay splits your agent across a WebSocket, so no single tool sees the whole call. Compare Conversation Relay Insights, Conversation Intelligence, server unit tests and Cekura on what each one automates.

Atul Jain
Fri Aug 14 2026 · 11 min read