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Nexoqoby nexoqoai.tech

AI QualityOps infrastructure for teams building agents, LLM applications, RAG systems, and autonomous workflows.

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© 2026 nexoqoai.tech. Nexoqo is the AI QualityOps platform.

Make production AI measurable, testable, and dependable.

Operations solution

Validate AI-driven workflows from request to resolution.

Evaluate whether an autonomous workflow reads incoming requests, extracts data, updates systems, follows business rules, and handles exceptions.

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Scenario design · Workflow evaluation · Regression analysis

  1. Home
  2. Solutions
  3. Operations
Evaluation coverage

Inspect every step in an operational workflow.

Build realistic scenarios around expected behavior, edge cases, required actions, and the criteria that determine whether the workflow succeeded.

01

Request understanding

Include this behavior in repeatable test scenarios and evaluate it against criteria defined for the workflow.

02

Data extraction

Include this behavior in repeatable test scenarios and evaluate it against criteria defined for the workflow.

03

System updates

Include this behavior in repeatable test scenarios and evaluate it against criteria defined for the workflow.

04

Business-rule adherence

Include this behavior in repeatable test scenarios and evaluate it against criteria defined for the workflow.

05

Required actions

Include this behavior in repeatable test scenarios and evaluate it against criteria defined for the workflow.

06

Exception handling

Include this behavior in repeatable test scenarios and evaluate it against criteria defined for the workflow.

Who it serves

Quality visibility for teams operating autonomous workflows.

Bring the people building, validating, and operating the AI system into one measurable quality process.

  • AI engineers
  • Software engineers
  • Product managers
  • QA and quality engineers
  • AI platform teams
Quality outcome measurable
Define expected behaviorAlign scenarios with the workflow and its users.
Evaluate the complete pathMeasure actions and intermediate steps, not only final text.
Compare against a baselineReview quality signals before and after each change.

Conceptual QualityOps workflow; no customer performance data is shown.

Evaluate task completion and workflow behavior across business-critical automation scenarios.

Related capabilities

Build the supporting quality workflow in Nexoqo.

Connect this solution to the evaluation capabilities that measure agent behavior across development and production.

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AI Agent Testing

Test autonomous and semi-autonomous agents against realistic task scenarios, evaluating both the final result and the sequence of actions used to reach it.

Task understandingInstruction followingTool selection

Regression Testing

Run an established evaluation suite against prompt, model, retrieval, workflow, or agent updates and compare the results with a previous quality baseline.

Quality movementTask completionSafety

Production Monitoring

Evaluate real production conversations and agent traces to surface low-quality interactions, repeated failures, unusual behavior, and quality degradation.

Production trace scoringLow-quality interactionsFailure patterns

Release Quality Gates

Establish minimum quality thresholds that help teams determine whether an AI release is ready for production.

Pass rateWeighted evaluation scoreSafety thresholds
Operations AI quality

Define the evaluation criteria your workflow needs.

Discuss how Nexoqo can structure scenarios, quality signals, and release checks around your AI system.

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