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Verification & Test Automation

Release evidence for critical workflows, AI behavior, performance, and recovery.

Where it matters

Changes ship faster than the team can verify them, regressions recur, or an AI feature has no repeatable quality threshold.

What this discipline brings

  • Tests focused on critical user and operator paths
  • AI evaluations for representative tasks and failure cases
  • Performance and recovery checks at expected load
  • Release gates that produce actionable evidence, not just a passing badge

Verification is a thread through all three engagements. The test strategy follows system risk rather than a universal coverage target.

Start with the decision, not the discipline

Tell us about the system, the constraint, and the decision ahead. We will agree scope before work begins.

Discuss your system