Your regression suite passes every night, and callers still land in the wrong queue. AI IVR testing software is supposed to catch that, though most suites still check a menu tree while the thing answering behind option 2 is a language model with no fixed script to assert against.

Over two weeks, I pointed five platforms at the same line. It had a four-option keypad menu up front, an LLM appointment agent behind option 2, and a warm transfer to a human at the end.

Then I planted three failures. A misroute three nodes deep, a prompt edit that changed how the agent confirmed dates, and a caller who abandons the menu halfway through.

Below is which platform caught which, what each one costs, and how to choose when half your IVR is keypad and half is language model.

TL;DR: AI IVR Testing Software

Cekura: Best for scoring the AI agent that answers behind the menu.
Cyara: Best for enterprises validating legacy IVR and AI agents from one toolchain.
Klearcom: Best for in-country call path and toll-free number testing worldwide.
IR Collaborate: Best for IVR load testing and round-the-clock experience validation.
Keysight Eggplant: Best for testing the desktop and back-office systems your IVR routes into.

How I Researched and Tested These AI IVR Testing Tools

Over two weeks, I put the same three planted failures through all five platforms on one live healthcare line. Where a trial or self-serve signup existed, I fired them at the agent directly and read the reports.

For sales-led platforms, I worked from product documentation, published customer stories, and release notes, then compared what each vendor measures against what it markets.

The stakes here are easy to underrate. A Gartner survey found that only 14% of customer service issues get fully resolved in self-service, and just 36% even for issues customers rate as very simple.

Every platform was scored on six things:

Keypad coverage: whether it sends digit sequences, star codes, and PINs, then confirms where the call landed.
Conversation coverage: whether it varies accent, noise, and barge-in timing, or replays one clean audio file.
Scoring under non-determinism: whether a reworded correct answer passes and a subtly wrong one fails.
In-country reach: whether the call travels a real local route or a lab connection.
Production monitoring: whether scoring continues after go-live or stops at the pre-launch gate.
Pricing transparency: whether you can see a number without booking a sales call.

Three tools nearly made it. Bespoken crawls call flows well, though the entry Self-Serve Professional tier runs $2,000 a month for 5,000 interactions and one user. Hammer is mid-rebrand into VistaCX under Infovista. Hamming scores conversations sharply but stays light on keypad menu discovery.

Running one line through all five showed me which platforms assert on the tone and stop at the transfer, and which only read the transcript once the damage is done, a split the Cekura guide to conversational AI testing unpacks further.

5 Best AI IVR Testing Software Tools: Quick Comparison

💻 Tool	⚡ Strengths	🎯 Best For
Cekura	Simulation, DTMF tags, red teaming, monitoring	LLM agents behind a menu
Cyara	IVR discovery, 145+ countries, AI agent assurance	Enterprise contact centers
Klearcom	100+ countries, audio quality, 24/7 triage	Global call path checks
IR Collaborate	Load testing, CX validation, observability	Peak-volume readiness
Keysight Eggplant	Model-based testing, computer vision	Agent desktop and back office

Per Cekura's benchmarks, which ran 82 scenarios across seven voice agent configurations, reliability across three consecutive runs ranged from 75.6% on Retell down to 30.5% on Gemini Live, and mean response time from 1.27s on ElevenLabs to 3.08s on Vapi.

Pricing units differ by vendor. Four of the five quote per environment or per test volume. Compare on your expected monthly call count rather than headline price.

What it does: Cekura runs pre-production simulation, infrastructure checks, red teaming, and live monitoring for voice and chat agents, with failed calls feeding back into later test runs.

Best for: Voice AI engineers whose IVR is a keypad front door into a language model, who want both layers scored in one run.

Setup against a VAPI agent took about five minutes, and the first run flagged the reworded date confirmation that two other platforms passed over.

Writing the IVR test cases took longer than the setup, since the tree has to be described node by node. Red teaming later surfaced a data-extraction path at the transfer point I had missed.

Key Features

Testing & Simulation

IVR and DTMF tags: <ivr> and <dtmf> tags plus a Receive DTMF toggle drive menu entry, documented in the IVR and voicemail guide.
Conditional Actions: verify exact behavior at nodes where approximation is unacceptable.

Monitoring

Production monitoring and CI/CD: live call scoring plus a regression gate on every prompt or model change.

Pros and Cons

Pros:

✅ Keypad entry and open conversation scored in the same run.

✅ Self-serve signup with no procurement cycle.

✅ SOC 2-, HIPAA-, and GDPR-compliant: transcript redaction, role-based access, and audit trails.

Cons:

❌ Credit consumption across features makes monthly volume hard to forecast.

❌ No in-country carrier network, so global path testing needs a second tool.

What Users Say

Quotes below are excerpted from the dislike field of otherwise positive reviews; ratings are given in each attribution.

Rohan Chaubey Product Hunt review of Cekura

"I've been tracking it since the Vocera days, it's evolved impressively and keeps getting better.” (Rohan Chaubey, Product Hunt)

Reddit review of Cekura credit consumption

"Credits are consumed across multiple features, testing, monitoring, evaluations, reports. Hard to know upfront how many actual test runs you get." (r/VoiceAutomationAI, Reddit)

Pricing

Pay as you go carries no base fee. Voice testing costs $0.25 per minute, monitored calls $0.05 each, and chat replies $0.025 each. That tier includes 10 concurrent calls, one project, and one free seat, with additional seats at $30 per user monthly.

The Startup plan is $500 a month for roughly 2,000 test minutes, 10,000 monitored calls, 50 concurrent calls, and 10 seats. Enterprise is custom and annual.

Every account opens with 300 free credits, around 60 minutes of voice testing, with no expiry and no credit card.

Bottom Line

I'd point a voice AI engineer here first, because it was the only platform that graded my keypad path and the conversation behind it in one run. If you need in-country carrier coverage, the enterprise platforms above handle that better.

2. Cyara: Best for Enterprise IVR and AI Agent Assurance

What it does: Cyara runs IVR testing, conversational AI assurance, and agentic workflow validation from a single platform.

Best for: Enterprise contact centers keeping a legacy menu tree alive while validating new AI agents from the same QA toolchain.

There is no self-serve sandbox, so evaluation starts with a demo, and the documentation makes the premise obvious fast.

Cyara documents automatic call-flow discovery, which is the capability my planted misroute would test, and it is the only platform here that maps the tree without you describing it first.