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QA Teams

Expanding QA Team Capabilities with AI

How QA leaders empower teams with testing fleets that expand coverage, catch regressions early, and reduce manual bottlenecks, while preserving human-authorized remediation and governance.

0:50QA leaders, test engineers, quality managers
0:50
Key takeaways

What you will learn

  • QA teams gain leverage when agents handle repetitive validation workflows.
  • Evidence-based validation prioritizes risk based on System Graph impact.
  • Human oversight remains central to remediation and release decisions.

Related sessions

Events and explainers from the same topic area.

Next step

Bring quality intelligence to your organization

Schedule a briefing on governed autonomous reliability, testing fleets, and enterprise validation.

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01The operational surface

One surface for posture, operations, and what needs attention next.

The Zof home is not a marketing dashboard. It is the operational surface engineering, QA, and SRE teams use every day, quality posture, in-flight runs, coverage by module, and the actions a leader should look at next.

OPERATIONAL KPIs

  • Runs
  • Coverage
  • Risk

Live across every environment you ship to.

WORK SPINE

  • Specs
  • Tests
  • Schedules

From specification to scheduled regression.

GUARDRAILS

  • RBAC
  • SSO
  • audit

Every action attributable to a named human.

STAGING · LIVE/home
Zof AI home command center showing 12 runs at 94% pass, 3 open critical issues, 84% coverage, four module traceability bars, the specification pipeline, upcoming schedules, and recommended next actions with an active-runs sidebar.
Home view · Checkout Service · Staging · captured live from the product.
  • 01 · RUNS · 24H

    94% pass

    12 runs across staging

  • 02 · COVERAGE

    84%

    Across four modules

  • 03 · ACTIVE RUNS

    3 running

    Live on this branch

  • 04 · NEXT ACTIONS

    Recommended

    Triage gaps, new spec

Expanding QA Team Capabilities with AI · Zof AI Videos