5 data foundation and technology stack gaps stalling your AI agents

As the industry shifts from AI assistants to autonomous agents, organizations face significant technological gaps in data quality, context engineering, legacy system integration, and performance monitoring. To transform AI from costly experiments into scalable, reliable solutions, leaders must focus on building a durable foundation through unified data access, advanced retrieval techniques, and robust observability.