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AI Agent Testing

Know what your AI is telling your customers.

Your chatbot has conversations you will never read. We test it the way your customers use it, continuously, and flag the answers that cost you money, trust, or a dispute.

The problem

Launch day is the last time most bots get tested.

Teams test an assistant before it ships, then it meets real customers, real edge cases, and model updates nobody re-checks. What it says in writing is still your company speaking.

In 2024 a Canadian tribunal held Air Canada responsible for a bereavement-fare policy its website chatbot described incorrectly. The airline had to honor what the bot said.

What we catch

Six ways customer-facing AI goes wrong.

Any domain, any vendor: support bots, sales assistants, in-app copilots, and voice agents.

Invented policies

The bot states a refund window, warranty, or eligibility rule your business never wrote.

Unauthorized promises

Discounts, credits, delivery dates, or exceptions that nobody approved, made in writing.

Out-of-scope advice

Medical, legal, financial, or safety guidance your bot was never meant to give.

Missed escalations

An upset, at-risk, or high-value customer who needed a human and got a canned answer.

Misuse & jailbreaks

Prompts that pull the bot off-script, leak its instructions, or get it to say something on the record.

Silent drift

A model update or prompt tweak that quietly changes answers that were fine last week.

How it works

Start with a free check. Keep it honest every night after.

01
Free bot check

We talk to your public assistant the way an ordinary customer would and compare its answers against your own published policies. You get a short findings report. No access or integration needed.

02
Scoping call

We walk through the findings, what your bot is allowed to say, and where the real risk sits for your business. Scope and pricing come out of this conversation.

03
Continuous testing

With your written authorization, simulated customers run against your agent on a schedule, covering ordinary questions, edge cases, and adversarial misuse. Every answer is scored against your policies.

04
Expert review & reporting

High-stakes findings go to credentialed specialists from the Pasiflora network for review. You get a scorecard, alerts when something breaks, and a dated record of what was tested.

Why Pasiflora

Machine scale, human judgment.

Automation for breadth

Hundreds of simulated conversations per run, so you see the long tail of what your bot actually says.

Experts for judgment

Where an answer could hurt someone or cost money, a credentialed human makes the call, not another model.

Independent

We don’t build your bot or sell you one. We tell you what it does.

See what your bot said today.

Send us the page your assistant lives on. We'll check it like a customer would and send you what we find. Engagements are scoped to your volume and risk, so pricing comes after the check, not before.

Get a free bot check