Unleash

CONTROL PLANE FOR AI-GENERATED CODE

Unleash Enterprise for AI

AI is accelerating software delivery - and risk. Unleash Enterprise for AI brings governance, visibility, and instant rollback to every line of AI-assisted or agent-generated code. Think of it as a runtime control layer for AI development.

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Why Unleash for AI?

Centralize control, not creativity. Empower every team to use the AI tools they love while keeping enterprise-wide guardrails in place.

Wrap every AI-generated change in a feature flag before merge. Easily track all AI-code in production.

“As AI assistants start coming online, teams want to move faster - but we also have to make sure they don’t break things. That’s where Unleash comes in.”

Peter Ho

VP, DevOps, Prudential

Move Fast with AI. Without Breaking Things.

Unleash Enterprise for AI extends the proven FeatureOps architecture into the age of agentic software development.

Enforce flag coverage in CI/CD pipelines alongside existing checks like static analysis or dependency scans. If a pull request introduces AI-generated code without a linked flag, it can be automatically rejected, protecting production code bases.

Get the most our of your AI

Everything you need to ship AI-generated code safely.

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    Release Plans for AI Code

    Govern every AI commit through a linked Release Plan with built-in kill switch and auto-retirement.

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    Multi-Armed Bandit Automation

    AI-driven experiments expand automatically as Impact Metrics stay healthy.


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    SRE Agent Guardrails

    Autonomous agents can detect regressions and disable flags instantly while keeping auditors informed.

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    Model Experimentation

    Run competing models (GPT-4 vs Claude) as flag variants to compare accuracy, latency, and cost without redeploying.


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    AI Audit Logs & Change Requests

    Track which assistant made each change and who approved it.

Why It Matters Now

By 2028, over 90% of enterprise developers will use AI code assistants. Yet data shows a 25% rise in AI adoption drives a 7% drop in delivery stability, and a 2025 peer-reviewed study of 500,000 code samples found that AI-generated code carries significantly more high-risk security vulnerabilities than human-written code. Traditional QA can’t keep up. Feature flags can. They turn AI velocity into controlled momentum - letting you experiment safely and recover instantly.

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