Enterprise AI Focuses on Agentic Systems
π‘Practical enterprise AI: agent orchestration beats prototypes for real ROI
β‘ 30-Second TL;DR
What Changed
Shift from AI prototypes to production agentic systems with measurable ROI
Why It Matters
Enterprises gain scalable AI integration into legacy systems, reducing risks and boosting productivity. Rise of generalist developers/architects highlights need for platforms enabling safe agent orchestration.
What To Do Next
Explore OutSystems Agent Workbench to prototype a multi-agent CS triage system.
Key Points
- β’Shift from AI prototypes to production agentic systems with measurable ROI
- β’OutSystems Agent Workbench for developing, iterating, governing multi-agents
- β’Thermo Fisher example: triage routes to specialized agents (intent, troubleshooting, compliance)
- β’Guardrails against shadow AI risks like hallucinations, data leaks, model drift
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Original source: VentureBeat β
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