Autonomy and control are not opposites, they go together: EY GDS at DevSparks Chennai
At DevSparks Chennai 2026, an EY GDS executive addressed the widespread problem of AI agents failing to transition from demonstration to production. While entry barriers to building agents have dropped due to cloud tools and open APIs, industrializing and deploying agents for real business use remains challenging. The executive noted that raw access to AI models and development tools is no longer the constraint—the ability to operationalize, manage, and scale agents across real data and business consequences is where projects stall.
Key points
- Gap exists between hackathon AI agent demos and production deployment
- Model access and low-code tools no longer the bottleneck
- Industrialization and operational readiness are the key challenges
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