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  • Engineering-AI-Report-2026-Cyient-Everest-1 Engineering-AI-Report-2026-Cyient-Everest-M
    New Research Report – June 2026
    The Strategic Shift Toward Embracing Intelligence in Engineering
    A joint research by Everest Group and Cyient

Why This Report Matters for  Engineering Leaders

AI-first PoC Failure Data
AI-first-PoC-Failure-Data

Everest Group showcases why 62–70% of AI-first PoCs stall before production —structural reasons behind it.

Sector-by-Sector Analysis
Sector-by-Sector-Analysis

Deep dives into engineering verticals — each with specific AI challenges, integration patterns, and use cases.

5-step Operationalization Roadmap
5-Step-Operationalization-Roadmap

 Insightful structured framework to move from PoC to production — business case, domain integration, governance, talent, and partnerships. 

Partner Evaluation Criteria
Partner-Evaluation-Criteria

Best practice for assessing ecosystem partners — service providers, tech vendors, and research institutions — for engineering-grade AI.

Domain-first Integration Model
Domain-First-Integration-Model

Proven approach for embedding AI within engineering architecture and lifecycle governance.

AI-first-PoC-Failure-Data

Everest Group showcases why 62–70% of AI-first PoCs stall before production —structural reasons behind it.

Sector-by-Sector-Analysis

Deep dives into engineering verticals — each with specific AI challenges, integration patterns, and use cases.

5-Step-Operationalization-Roadmap

 Insightful structured framework to move from PoC to production — business case, domain integration, governance, talent, and partnerships. 

Partner-Evaluation-Criteria

Best practice for assessing ecosystem partners — service providers, tech vendors, and research institutions — for engineering-grade AI.

Domain-First-Integration-Model

Proven approach for embedding AI within engineering architecture and lifecycle governance.

Intelligence Built for the Engineering Lifecycle

Get the full report, your blueprint for scaling engineering-grade AI without compromising safety, reliability, or quality.