Insights

Research and perspectives on enterprise AI.

What the data says. What we've learned. What the industry keeps getting wrong.

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Methodology

The Data Foundation Methodology: Why We Fix the Plumbing First

Every enterprise AI failure we've studied shares one root cause: the data wasn't ready. Not "dirty data" in the traditional sense — but data architectures designed for human consumption, not agent consumption.

February 2026 · 6 min read
Architecture

Dual-Citizen Architecture: Designing Systems for Humans and AI Agents

Your ERP was built for a human clicking through screens. Your CRM assumes a person reading context clues. What happens when an AI agent needs to operate these same systems? You need a dual-citizen architecture.

January 2026 · 7 min read

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