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Research-backed articles on production AI strategy, delivery, governance, and cost optimization for operating teams — grounded in industry studies and regulatory frameworks.

Jul 1, 2026 · 17 min read

Evaluating Agentic AI in Production

The best agents drop below 25% success when the same task repeats eight times. Why agent evaluation differs from model benchmarks, what to measure across the trajectory, and a 90-day path to a production evaluation system — grounded in τ-bench, OpenTelemetry, OWASP, and NIST.

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Nexum Intelligent Systems Research Team · AI Infrastructure & Governance

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Feb 5, 2026 · 14 min read

Reducing Inference Costs with SLM and Infrastructure Optimization

Inference now dominates AI budgets, but frontier-only architectures and agentic token multiplication do not scale. This research-backed guide explains SLM routing, quantization, batching, and caching — with a 90-day playbook for reducing cost per resolved task, grounded in Stanford HAI, Gartner, RouteLLM, and open-weights benchmarks.

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Nexum Intelligent Systems Research Team · AI Infrastructure & Governance

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Feb 4, 2026 · 15 min read

Governance-by-Design for Trusted AI Operations

Only 30% of organizations reach meaningful agentic AI governance maturity, yet adoption keeps accelerating. This research-backed guide defines governance-by-design, maps NIST, ISO, EU AI Act, and OWASP requirements to architecture, and provides a 90-day implementation path for trusted AI operations.

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Nexum Intelligent Systems Research Team · AI Infrastructure & Governance

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Feb 3, 2026 · 16 min read

From AI Pilots to Operational AI Systems

Adoption of AI is near-universal, but only 5–6% of organizations capture measurable P&L impact. This research-backed guide unpacks why pilots stall, what operational AI actually means, and a 90-day playbook for crossing the gap — grounded in findings from Gartner, MIT NANDA, McKinsey, BCG, NIST, ISO, and the EU AI Act.

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Nexum Intelligent Systems Research Team · AI Infrastructure & Governance

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