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Use Case

Prevent outages before customers feel them

Catch regressions before release. Reduce change failure rate. Ship faster with confidence.

Catch regressions before release
Reduce change failure rate
Ship faster with confidence

The real cost of outages

Production incidents impact revenue, customer trust, and engineering velocity. Most are preventable with the right validation strategy.

Revenue loss

Direct revenue impact from service unavailability and transaction failures

$5.6M

Average cost per hour of downtime (enterprise)

Customer trust and churn

Long-term brand damage and customer attrition from reliability issues

80%

Of outages caused by changes, not infrastructure

Engineering disruption

Team burnout, context switching, and delayed feature work from incident response

60%

Of incidents preventable with better pre-production testing

Why prevention matters more than response: While incident response is essential, preventing failures before they reach production reduces cost, preserves customer trust, and keeps engineering teams focused on building rather than firefighting.

Why outages still happen (even with monitoring)

Traditional approaches catch issues after they occur. Prevention requires validation before production.

Monitoring detects failures after impact

Observability tools alert you when something breaks, but by then customers are already affected.

Scripts break as systems evolve

Test suites become brittle as applications change, creating gaps in coverage.

Test coverage doesn't equal reliability

High coverage metrics can mask missing integration tests and edge case validation.

Release velocity increases risk

Faster deployments multiply the chance of introducing regressions that slip through.

How It Works

How Zof prevents outages

A clear, systematic approach to catching regressions before they reach production.

1

Map critical workflows and dependencies

Zof builds a System Graph of your environment: services, APIs, data flows, and integrations. When a change is made, it knows exactly what could be affected.

2

Deploy specialized validation agents

40+ AI agents test every dimension: functional correctness, performance, security, compatibility, and integration health. Each agent is an expert in its domain.

3

Trigger continuously (PR, deploy, schedule)

Every pull request, every commit, every scheduled run gets validated. Issues are caught in minutes, not after deployment.

4

Catch regressions across UI, APIs, integrations

Agents validate end-to-end workflows, API contracts, third-party integrations, and user-facing flows. Nothing slips through.

5

Block risky releases before impact

When validation fails, releases are gated automatically. Engineering teams get clear, actionable feedback to fix issues before production.

The outage prevention loop

Continuous validation gates releases before production impact.

Prevention Before ProductionCode/ConfigChangeZofWorkflowsAgentsValidateRiskSignalGateRelease
Outcomes

Enterprise outcomes that matter

Metrics and capabilities that demonstrate reliability improvement and organizational leverage.

Lower change failure rate

Catch regressions before deployment, reducing production incidents and improving DORA metrics.

Up to 95%

Fewer production incidents

Faster, safer releases

Automated validation gates enable confident releases without slowing down deployment velocity.

Up to 90%

Faster release cycles

Reduced incident load on teams

Preventive validation reduces firefighting, keeping engineering teams focused on building.

Measurable

Reduction in on-call burden

Evidence and reporting for reliability posture

Comprehensive visibility into reliability metrics and validation coverage for leadership reporting.

Real-time

Reliability dashboards

Where this fits in your stack

Zof adds the missing prevention layer to your existing reliability toolchain.

CI/CD

Integrate with GitHub Actions, GitLab CI, Jenkins, and other pipelines to gate releases automatically.

Observability

Complement Datadog, New Relic, and other monitoring tools with preventive validation before production.

Incident management

Reduce incidents that flow into PagerDuty, Opsgenie, and similar platforms by catching issues earlier.

Ticketing

Integrate with Jira, Linear, and other systems to create tickets automatically when validation fails.

Enterprise-ready and trusted

Built for organizations that require security, compliance, and operational excellence.

Security posture

SOC 2 Type II, GDPR compliant, and enterprise-grade security controls.

Access controls and governance

Role-based access control, audit logs, and compliance reporting.

Enterprise onboarding

Dedicated support, custom integrations, and tailored deployment options.

Support

24/7 support, SLAs, and dedicated customer success for enterprise customers.

Stop outages before they start

See how Zof prevents production failures and protects your revenue, reputation, and engineering velocity.