Perspectives on Enterprise AI

Practical thinking on strategy, engineering, and governance for organizations adopting AI.

AI Strategy

Moving AI from Pilot to Production — A Practical Playbook

Most AI pilots never make it to production. Here's a structured approach to bridge the gap between proof-of-concept and enterprise-scale deployment.

The BMS Company Editorial · 8 min read · Jan 14, 2026
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Governance

The Enterprise AI Governance Checklist

A comprehensive framework for establishing AI governance that balances innovation velocity with risk management and regulatory compliance.

BMS Research · 12 min read · Jan 10, 2025
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Engineering

Why Most RAG Implementations Fail

Retrieval-Augmented Generation promises accurate, grounded AI responses. But implementation pitfalls can undermine the entire approach. Here's what to watch for.

BMS Research · 6 min read · Jan 5, 2025
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AI Agents

Agentic AI: Beyond Chatbots

AI agents represent a fundamental shift from reactive chatbots to proactive, multi-step workflow automation. Understanding the architecture matters.

BMS Research · 10 min read · Dec 28, 2024
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Data Engineering

Data Foundations for AI: Getting the Basics Right

Before deploying sophisticated AI models, organizations need to ensure their data infrastructure can support reliable, scalable AI operations.

BMS Research · 7 min read · Dec 20, 2024
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Automation

The ROI of Intelligent Process Automation

How to measure and maximize the return on investment from intelligent process automation initiatives across the enterprise.

BMS Research · 9 min read · Dec 15, 2024
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