Many enterprises are experimenting with and adopting automation and large language models or LLMs, but only a few have translated those efforts into scalable changes. In this perspective piece, Syren’s Director of Engineering, Bharat Kumar Meda draws from hands-on experience leading AI system development at Syren to highlight a core issue: fragmented tools and pilot projects have not yet evolved into intelligent, enterprise-wide workflows.
At Syren, working closely with supply chain and operations teams across industries, we’ve first observed a growing disconnect - while LLMs and enterprise automation platforms are finding their way into isolated use cases, customer support tickets, analytics summaries, workflow triggers, there’s still no cohesive system that pulls it all together.
This leads to disconnected point solutions that deliver short-term wins but fall short of enabling truly adaptive, intelligent operations.
In his article, Bharat has explored what’s missing from the widely adopted automation strategies, i.e., lack of orchestration, explainability, and semantic context. He outlines what it takes to move from scattered, pilot-stuck projects to truly resilient systems.
Challenges Faced by Enterprises
Bharat’s article is a reflection of why this is happening and what needs to change. He highlights 4 core breakdowns most enterprise automation projects face:
- Over-reliance on narrow tools like Retrieval-Augmented Generation (RAG) without the infrastructure to ground responses to reliable data.
- Siloed copilots developed independently across functions, without shared memory or orchestration.
- Workflows are built as API chains rather than structured processes with approvals, exception handling, and embedded logic.
- A lack of decision-making transparency reduces adoption in environments where compliance or trust is critical.
These technical oversights reflect a broader strategic gap. Enterprises haven’t yet redefined what workflows should look like in a world where systems can reason, adapt, and collaborate with humans. The tendency to treat automation as a convenience layer, rather than a re-architecture of operational logic keeps transformation stuck in “pilot mode.”
What Real Intelligent Workflows Require
Bharat outlines a systems-focused approach, and here’s how Syren builds on those same principles:
- AI agents that connect: Purpose-built modules that plug into workflows, reducing duplication and improving reusability.
- End‑to‑end orchestration: Workflows that include approvals, retries, exception handling, and human-in-the-loop flows.
- Unified semantic context: A central knowledge layer linking documents, conversations, system data, and events for grounded reasoning.
- Governance and observability built in: Full transparency into decision logic, data sources, and auditing to build user trust and meet compliance.
Conclusion
For enterprise automation to move beyond stuck pilots, the focus must shift from isolated tools to designing scalable systems with embedded logic, shared context, and trust at their core
At Syren, we believe that by investing in system-level design, cross-functional orchestration, and built-in governance, enterprises can unlock the full potential of LLMs that automate, adapt, learn, and lead. The future of enterprise is how intelligently the tools you adopt work together.
