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Role of AI SaaS in Cloud-Native Applications

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AI SaaS elevates cloud‑native stacks from reactive automation to intent‑driven, governed systems of action. It grounds decisions in live telemetry and config, selects the next‑best step (optimize, scale, route, remediate), simulates impact on reliability, security, and cost, and executes via typed, policy‑checked actions with preview and rollback—improving SLO attainment, developer velocity, and unit economics across … Read more

AI SaaS for Workflow Orchestration

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AI‑powered orchestration turns scattered automations into a governed system of action. The durable loop is retrieve → reason → simulate → apply → observe: ground each run in fresh context and permissions; use models to choose next‑best‑step and parallelization; simulate cost, latency, risk, and fairness; then execute only typed, policy‑checked actions with idempotency, saga/rollback, and … Read more