Enterprises Building AI Agents Wrong

57% of enterprises see AI agents confidently wrong. Treating AI agents as a model problem rather than an architectural problem leads to failures from lack of context, data quality issues, inadequate governance, poor observability, and inability to translate insights into actions. Business value comes from architecture, not just intelligence.