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Introducing Forrester’s OASIS Framework For Outcome-Driven Infrastructure

Introducing Forrester’s OASIS Framework For Outcome-Driven Infrastructure
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The infrastructure panorama is at a crossroads. As AI brokers and automation reshape enterprise operations, conventional infrastructure — typically inflexible, gradual, and siloed — can now not hold tempo with the calls for of recent enterprises. Right this moment, Forrester introduces the OASIS Framework for outcome-driven infrastructure platforms, a brand new imaginative and prescient for a way know-how leaders ought to construct infrastructure for the agentic AI period.

Why OASIS, And Why Now?

Agentic AI is quickly changing into a catalyst for reimagining enterprise infrastructure environments. Clever, automated brokers require dynamic, responsive environments — one thing that legacy techniques, constructed for static workloads and guide governance, merely can not present. Companies additionally want to manage dangers that AI brokers, AI-enabled safety threats, and unauthorized AI use carry into the enterprise. Platform engineering practices should migrate to enterprisewide infrastructure platforms to embed operational-, security-, and compliance-related performance into the platform itself in order that tech leaders can unlock stalled AI initiatives by lowering the chance of innovation.

Introducing The OASIS Framework

The OASIS Framework defines 5 foundational functionality areas that leaders should embed of their infrastructure platforms.

Observable (O): Ensures that platforms generate wealthy telemetry concerning the inside state and occasions, supporting compliance, FinOps, and RiskOps.

Accountable (A): Verifies each motion and alter in opposition to coverage and data immutably, enabling traceability and alignment with enterprise targets.

Securable (S): Embeds Zero Belief rules, fine-grained entry controls, and cryptoagility, guaranteeing information integrity and protected AI operations.

Intelligible (I): Makes platform operations comprehensible to each people and AI, supporting explainability and smarter automation.

Service-driven (S): Exposes platform features as companies, enabling automation, scalability, and composability throughout the enterprise.

These capabilities aren’t simply options — they’re interlocking pillars that create a trusted basis for automation, governance, and innovation.

What Does This Imply For Expertise Leaders?

The OASIS Framework empowers know-how leaders to:

Align infrastructure with enterprise targets. Transfer from inflexible, legacy techniques to dynamic platforms that assist steady innovation.

Allow autonomous operations. Mix observability, accountability, safety, intelligibility, and service-driven design to create self-managing, self-healing, and self-optimizing techniques.

Speed up audits and compliance. Embed verifiable telemetry and immutable data for real-time compliance and smarter, sooner audits.

Drive adaptability and resilience. Modular, composable infrastructure helps speedy scaling and adaptation to unpredictable calls for — essential for AI mannequin coaching, workload variation, and resilience engineering.

Mitigate danger in transformation. OASIS offers a roadmap for iterative modernization, balancing innovation with operational stability, particularly in advanced brownfield environments.

The Backside Line

Forrester’s OASIS Framework is right here to assist enterprises leverage AI now and new applied sciences sooner or later. By embedding these 5 functionality areas, know-how leaders can guarantee their platforms aren’t solely AI-ready but additionally safe, resilient, and aligned with enterprise outcomes. Try the full-length report right here on the OASIS Framework and every of its capabilities, and attain out for a steerage session to study how one can apply this framework in your enterprise.



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Tags: ForrestersframeworkinfrastructureIntroducingOasisOutcomeDriven
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