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[‹ All glossary terms](/glossary)

# Proactive Support

AI flags at-risk engineers or processes before issues escalate

Early intervention triggered by metric thresholds (e.g., low focus time, high rework). AI flags at-risk engineers or processes so managers can offer coaching, reduce load, or adjust priorities before burnout or delays occur.

## Related terms

Early detection; issue prevention

[‹ Privacy-First Platform](/glossary/privacy-first-platform)[Pull Request ›](/glossary/pull-request)

Next step

## Find your level of AI in engineering

See the 5 levels, from human-only to fully autonomous agents, and what moving up is worth.

[See the 5 levels →](/how-it-works#levels)

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Platform

- [Next moves](/platform/next-moves)
- [Agentic ROI](/platform/agentic-roi)
- [AI Deployment](/platform/ai-intelligence)
- [Delivery Intelligence](/platform/delivery-intelligence)
- [Benchmarking](/platform/talent-benchmarking)
- [Code Quality](/platform/code-quality)
- [CapEx & Finance](/platform/capex-analysis)
- [Pensero MCP](/platform/mcp)New
- [Integrations](/integrations)

Use cases

- [CEOs](/use-cases/roles-ceo)
- [CTOs](/use-cases/roles-cto)
- [CFOs](/use-cases/roles-cfo)
- [Product leaders](/use-cases/roles-product-leaders)
- [Engineering managers](/use-cases/roles-engineering-managers)
- [Investors](/use-cases/roles-investors)
- [Compare Pensero](/use-cases/competitors-dx)

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