AI Agent Testing
Verify that autonomous agents can plan, use tools, recover from errors and complete real business tasks safely.
- Task completion & tool-call accuracy
- Behavior, safety & exception handling
- Independent outcome evaluation
Test AI agents and SaaS applications across complete business workflows — not just individual responses. Detect failures earlier, validate outcomes, and release with confidence.
Understand objectiveIntent and constraints captured
0.6sExecute tool callsAPI and browser actions recorded
2.4sValidate resulting stateAssertions passed
0.9sIndependent evaluationCross-model review in progress
...Modern applications make decisions, call tools and change real systems. Lintel AI helps you test the entire journey — with the evidence to understand what happened.
Verify that autonomous agents can plan, use tools, recover from errors and complete real business tasks safely.
Exercise critical user journeys from the browser to the API — and verify the system state left behind.
Turn scenarios into repeatable checks, compare changes over time, and support better release decisions.
From a prompt to a final state change, testing an intelligent workflow takes more than a single answer comparison. Our approach combines execution, deterministic checks and model-assisted evaluation.
Real-world executionBrowser, API, Agent and tool interactions in isolated environments.
Evidence you can inspectScreenshots, HAR records, execution traces and state changes.
Multi-model evaluationIndependent AI-powered review with model-aware cost controls.
Actionable reportingExplainable failures, reproducible steps and regression visibility.
A structured test lifecycle gives your team clear visibility into what the application attempted, what actually happened, and what needs attention.
Provide an authorized SaaS test environment or AI Agent endpoint.
Create business scenarios, desired outcomes, and validation rules.
Run browser, API, or tool workflows in controlled test environments.
Review system state, model behavior and recorded execution evidence.
Investigate failures, compare runs and repeat regression checks.
AI systems don't just answer questions. They take actions. Meaningful assurance must follow those actions through to real-world results.
LINTEL AI / QUALITY PHILOSOPHYLintel AI operates in Delaware, USA, and Alberta, Canada. We focus on software quality for a new generation of applications — platforms where AI agents and traditional SaaS systems work together to accomplish meaningful tasks.
Our work brings together workflow automation, isolated testing, deterministic assertions, multi-model evaluation and clear reporting. We help teams understand not only whether an outcome is correct, but how that outcome was reached.
Get to know us ↗Exploring AI Agent or SaaS testing? Tell us about the workflows that matter to your team.
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