01
The deployment blind spot
You're committing to outcome-based pricing with zero performance data. If your containment rate lands at 40% instead of 70%, that's not a lesson. That's a bill and a failed rollout.
Private beta · Limited spots available
Test your Zendesk AI Agent before your customers do.
Import your real ticket history. Simulate conversations. Get a scored benchmark report in under 30 minutes: containment rate, hallucination detection, security risk, and ROI projection.
Private beta · Waitlist open · Response within 24 hours
VP Support
Director of CX
Head of Support Ops
Zendesk consultants
AI win rate
67%
8 of 12 tickets
AI score
4.2/5
Across 5 metrics
Proj. savings
$2,847
Per month
Accuracy
4.2
Groundedness
4.3
Tone
3.9
Efficiency
4.6
security scan
78
score
score
Prompt injectionReview
PII extractionPass
Policy boundaryPass
KB boundary2 gaps
run log
tickets_imported = 2,500
pii_anonymized = true
hallucinations = 2
report_status = ready
awaiting deploy decision
Risk
Your AI agent can fail in more ways than your team can manually test.
Catch failure modes before your customers turn them into tickets, escalations, or churn.
Proof
Know your containment rate before you commit to outcome-based pricing.
Benchmark AI against your historical ticket performance, not a synthetic toy dataset.
Security
Prompt injection is a top risk. Test for it before launch.
Surface policy gaps, KB boundary failures, and extraction risk while the stakes are still low.
Speed
From Zendesk connection to benchmark report in under 30 minutes.
Connect, configure, run, then decide with data instead of hope.
The problem
Zendesk AI Agents are powerful. They're also difficult to test before launch.
Generic AI evaluation tools miss what support teams care about most: containment, groundedness, escalation quality, and whether the rollout makes financial sense inside Zendesk's pricing model.
02
The hallucination problem
Your AI agent doesn't know your products unless it's grounded in your Help Center. Without that, confident wrong answers turn into escalations, churn risk, and avoidable cleanup for the team.
03
The security gap
Prompt injection is the #1 LLM vulnerability per OWASP. Most teams don't test for it before launch, which means production becomes the first real security test.
Features
Everything you need to deploy with confidence.
Benchmark
Is AI actually better than your human agents?
Run the same tickets through both simultaneously. Get per-ticket comparisons, a win rate, and projected ROI based on Zendesk's actual outcome-based pricing model.
- AI vs Human win rate per ticket category
- Score deltas across 5 evaluation dimensions
- Dollar-value ROI projection for leadership
$2,847
avg. projected monthly savings
seen in benchmark runs
seen in benchmark runs
benchmark results
67%AI win rate
4.2/5AI score
$2,847Savings/mo
Accuracy
Groundedness
Efficiency
Security Testing
Find the vulnerabilities before your customers do.
We test your agent against adversarial scenarios designed to expose the exact attack vectors found in production deployments. Not academic edge cases.
- Prompt injection resistance testing
- PII extraction scenario testing
- Policy and KB boundary probing
- Security score + remediation guidance
security scan
Prompt injectionNeeds review
PII extractionPass
Policy boundaryPass
KB boundary2 gaps
KB Grounding
Test with your actual knowledge base, not a generic one.
Every simulated response is scored on Groundedness: did the agent cite your KB articles, or fabricate an answer? Know which gaps to fix before launch.
- Groundedness score (0–5) per simulation
- Hallucinated vs KB-backed response flagging
- Knowledge gap analysis before launch
groundedness report
4.3 / 5Groundedness score
2 responsesHallucinated (not in KB)
3 topicsNo KB coverage found
A/B Comparison · Pro
Stop guessing which prompt performs better.
Run the same ticket batch against two agent configurations simultaneously. Side-by-side scores, delta table, and an auto-generated recommendation.
- Parallel execution against same ticket set
- Score deltas highlighted per metric
- Auto-generated configuration recommendation
a/b comparison
Config AScore: 4.1/5
Config BScore: 4.4/5 ↑
Best accuracyConfig B +0.4
Best groundednessConfig B +0.6
RecommendationShip Config B
How it works
From Zendesk connection to benchmark report in under 30 minutes.
No manual CSV exports. No evaluation spreadsheets. No reading hundreds of test conversations to guess whether the rollout is ready.
01
Connect
Authorize Zendesk via OAuth. Ticket history imports and PII is anonymized automatically.
About 2 minutes02
Configure
Paste your system prompt, choose the Help Center scope, and define the evaluation setup.
About 10 minutes03
Run
Simulations, groundedness scoring, security tests, and ROI calculations run in the background.
About 15 to 25 minutes04
Decide
Deploy with data, or iterate with a concrete list of what needs work before launch.
Your call
Pricing
Simple pricing. No per-resolution fees. No surprises.
Pay for the testing platform, not for every ticket your AI resolves.
Free
Test the platform
$0/mo
- 50 simulations per month
- 100 tickets imported
- Security testing
- 5-metric evaluation
Starter
First deployment
$299/mo
- 500 simulations per month
- 2,500 tickets per month
- Human vs AI Benchmark
- CSV export + KB Collections
- Security testing
Professional
Ongoing optimization
$799/mo
- 2,500 simulations per month
- 15,000 tickets per month
- 3 Zendesk connections
- A/B configuration comparison
- Everything in Starter
Not a live monitoring tool
Not a generic AI evaluation platform
Not a Zendesk competitor
Not an AI agent builder
Enterprise pricing available · contact us
Security and trust
Built for teams with real compliance requirements.
Emails, names, phone numbers, and payment data are masked automatically during import. No raw customer data stored.
Each customer workspace is fully isolated. Test data does not leak across environments or accounts.
Zendesk connects through OAuth. Your credentials are encrypted and scoped to your workspace only.
Privacy-first defaults, strict anonymization, and no raw customer data retention. No configuration required.
FAQ
Questions serious buyers ask before launch.
Can't we test this in Zendesk's own sandbox?
Zendesk's sandbox doesn't benchmark performance against your historical ticket outcomes, simulate large batches of realistic conversations, or score the results. You'd still be doing manual review with fake data, with no containment rate projection or ROI estimate to bring to leadership.
Why not just do a small production rollout?
Because that's testing your customers, not your agent. Every failure is a real customer experience, a real CSAT risk, and a real cost under outcome-based pricing. A small rollout is not a test. It's an uncontrolled experiment with real consequences.
We already built our own evaluation process.
If your internal process already handles benchmark scoring, KB groundedness checks, adversarial security scenarios, and ROI projection in Zendesk's pricing model, then you've built a mature internal testing product. Most teams haven't. If you have, this isn't for you.
Do we have time for this before our launch deadline?
If you're two weeks out, you still have time. Setup is designed to take under 30 minutes. The question is whether you have time to manage the fallout if you skip it. Failed AI rollouts don't just cost money, they cost credibility.
Get started
Your next AI agent deployment doesn't have to be a leap of faith.
Request beta access. Run your first benchmark. Decide with data.
Private beta · Limited spots · Response within 24 hours