Discovery Call
We learn your platform, tech stack, and testing priorities in a focused 30-minute session.
Your AI agent should act as reliably as your users expect
Testiva delivers specialist QA for autonomous AI agents, testing everything from tool use accuracy to task completion.
2,000+
Test tasks executed
3x
Faster Release Cycles
40%
Lower Rework Costs
Why it matters
Why it matters Title: What happens when AI agents
Why it matters Title: What happens when AI agents
aren't tested properly
In agentic AI, a single unchecked decision isn't just a bug, it's an irreversible action, a cascading workflow failure, or a compliance breach with a paper trail.
Uncontrolled tool use
Agents invoking the wrong tools, with wrong parameters, or in the wrong sequence cause real-world side effects that cannot be rolled back after the fact.
Reasoning chain failures
Flawed planning logic leads agents to confidently pursue the wrong goal, wasting compute budget and producing harmful outcomes without any visible error.
Memory & context corruption
Incorrect retrieval from long-term memory or lost short-term context causes agents to act on stale, contradictory or hallucinated information mid-task.
Runaway or looping behaviour
Agents stuck in retry loops, exceeding token budgets or spiralling into infinite sub-task chains bring production workflows to a halt silently.
How Testiva protects your AI agents
- Agentic AI expertise — Our QA engineers specialise in multi-step reasoning systems and tool-calling pipelines, not generic test automation.
- Task decomposition validation — We verify that agents correctly break down goals, sequence sub-tasks and recover gracefully from dead ends and unexpected tool responses.
- Tool call & API safety testing — Every tool invocation is tested for correct parameter passing, permission boundaries and failure mode handling.
- Adversarial goal testing — We probe agents with ambiguous, conflicting and adversarial instructions to surface unsafe decision paths before they reach production.
- Observability & trace validation — We instrument agent traces and verify step-level logs so every failure is reproducible, diagnosable and auditable.
What we test
Core components of an AI agent we cover
Every layer that affects task reliability is validated, stress-tested, and verified across tools, memory systems and orchestration frameworks.
Goal interpretation & planning
Validating accurate task understanding, planning logic and adaptive step sequencing.
Tool selection & invocation
Testing correct tool usage, parameter handling and execution flow reliability.
Memory & context management
Ensuring reliable context retention, memory retrieval and boundary handling across workflows.
Multi-agent coordination
Verifying accurate agent collaboration, delegation logic and conflict resolution across shared tasks.
Error recovery & replanning
Testing failure detection, retry handling and adaptive recovery workflows.
Permission & boundary enforcement
Ensuring secure permission handling, consent validation and action boundary enforcement.
External API & system integration
Validating reliable API integrations, authentication handling and downstream system interactions.
Observability & trace integrity
Testing complete execution logging, trace accuracy and audit trail reliability.
Performance & cost efficiency
Verifying scalable task execution, efficient token usage and stable performance under complex workloads.
HOW IT WORKS
Up and running in 4 simple steps
From first contact to your first test report a process designed to be fast, transparent and low-friction.
QA Audit & Plan
We audit your current test coverage and deliver a tailored testing strategy and test case plan.
Test Execution
Our team runs manual and automated tests, logging every defect with full reproduction steps.
Report & Iterate
You receive a detailed report with severity ratings, trends, and recommendations for the next sprint.
What People Say
Testiva is a great team to work with. I’ve hired them multiple times and recommended them to others, all impressed by their thorough work. Highly recommended for QA.
Testiva team is highly skilled and extremely thorough. I trust them for accurate and timely delivery. They are a reliable resource for any project.
Testiva team delivered outstanding quality with great professionalism. Communication was excellent and delivery met expectations. Highly recommended.
Excellent team worked well with minimal supervision and did a great job. Their work helped us improve the robustness of the platform.
AI Agent Software
Testing Packages
| Feature | Starter | Professional | Enterprise | Custom AI |
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| CORE AI AGENT FUNCTIONAL TESTING | ||||
| End-to-end agent task execution testing |  |
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| Tool & function calling validation | |
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| Agent reasoning & decision flow testing | |
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| Multi-step task & planning testing |  |
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| Concurrent agent / load testing | |
5K users | 10K users | Unlimited |
| Automated regression test suite | |
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Setup only | Full build |
| CI/CD pipeline integration | |
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| AGENT-SPECIFIC TESTING | ||||
| Memory & context retention testing | |
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| Goal completion & task success rate | |
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| Tool selection accuracy | |
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| Fallback & error recovery | |
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| Multi-agent coordination testing | |
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| Human-in-the-loop handoff testing | |
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| External API & integration testing | |
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| Long-horizon task & loop detection | |
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| AI QUALITY & SAFETY | ||||
| Hallucination & factual accuracy testing | |
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| Bias & fairness evaluation | |
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| Toxic & harmful output detection | |
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| Prompt injection & jailbreak resistance | |
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| Output consistency & regression | |
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| Model version & rollback testing | |
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| SECURITY, PRIVACY & COMPLIANCE | ||||
| PII detection in agent outputs | |
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| Data access & permission QA | |
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| Audit logging & retrieval trail QA | |
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| GDPR / CCPA compliance testing | |
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| Enterprise SSO & access control testing | |
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| SUPPORT & REPORTING | ||||
| Dedicated QA lead | |
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| AI quality scorecard & weekly report | |
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| 24/7 critical defect SLA | |
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Common questions
Agents take multi-step actions with real side effects failures compound and unintended consequences must be tested explicitly.
We design task sequences with known correct tool paths and measure completion rate, step accuracy, and error recovery behaviour.
We simulate failure conditions and measure whether the agent halts, escalates, or continues incorrectly rating each outcome.
We verify agents only act within explicit scope testing boundary conditions where overreach is most likely to occur.
We run extended multi-session task evaluations, measuring context accuracy and decision quality across session boundaries.
We test injection via tool responses, API payloads, and environmental inputs targeting instruction override and data exfiltration.
Get in touch
Start with a discovery call
Tell us about your telehealth platform and we'll map out exactly what testing you need no obligation.
Email us
Book a call
30-minute discovery sessions available Mon–Fri
Fast response
We reply to all enquiries within 1 business day