Context-Powered AI Agents: Use Cases Across Industries

After 150+ enterprise AI engagements, one pattern is clear: pilots stall when AI has data but no business meaning.

AI can access your data, but data alone doesn’t tell an agent what a “high-value customer” is, what a 34% balance decline signals, or when a complaint becomes a regulatory breach. This ebook shows how organizations use Tera Context Engine to close that gap. It connects business glossaries, Industry Knowledge Models, semantic relationships, lineage, governance, and trusted data products into a shared context layer that agents can draw on at the moment of decision. Explore worked use cases across financial services, healthcare and life sciences, retail, manufacturing and supply chain, telecommunications, insurance, and cross-industry scenarios. These include customer attrition prevention, financial crime investigation, patient journey intelligence, supply chain disruption, and claims investigation. You’ll also get a practical playbook for building enterprise context once and reusing it across every agent that follows.