Why this report matters for engineering leaders

AI-first Poc failure data
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Everest group showcases why 62–70% of AI-first PoCs stall before production—structural reasons behind it.
AI-first Poc failure data
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Sector-by-sector analysis
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Deep dives into engineering verticals — each with specific AI challenges, integration patterns, and use cases.
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5-step operationalization roadmap
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Insightful structured framework to move from PoC to production — business case, domain integration, governance, talent, and partnerships.
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Partner evaluation criteria
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Best practice for assessing ecosystem partners—service providers, tech vendors, and research institutions—for engineering-grade AI.
Partner evaluation criteria
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Domain-first Integration model
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Proven approach for embedding AI within engineering architecture and lifecycle governance.
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Industries covered

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Energy and utilities

Energy and utilities

Balancing rising demand with sustainability and intelligence integrated with equipment, plant, and grid expertise. The report spans grid operations, generation systems, and distributed assets—improving forecasting and reliability while preserving operational discipline.
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Telecom and connectivity

Telecom and connectivity

With networks shifting to software-defined, multi-vendor architectures under five-nines availability, the report explores intelligence across next-gen networks, digital operations, and strategic control—boosting coverage, capacity, and efficiency while keeping engineering oversight central.
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Mining

Operating under volatile, resource-constrained conditions, mining demands a problem-first approach. The report covers orebody planning, production optimization, and asset safety—anchoring intelligence to core metrics like throughput, recovery, downtime, and cost efficiency.
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Healthcare and life sciences

In regulated environments where decisions affect patient safety, intelligence must prove evidence and explainability. The report spans device design, manufacturing and quality, and connected care—enhancing decisions within clinical frameworks rather than replacing expertise.
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Transportation

Spanning aerospace, defense, automotive, and rail—sectors bound by strict certification and safety standards. How intelligence embeds across design, MRO, and system control to deliver validated gains without disrupting proven systems.
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Intelligence built for the engineering lifecycle

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

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