NOIDA, India, October 27, 2026 – Mohit Sirohi, Founder and CEO of Vegavid Technology, today made the case that stateful, multi-agent systems built on frameworks such as LangGraph represent the future of enterprise automation, moving well beyond the simple chatbots that defined the first wave of generative AI adoption.

Chatbots respond to a prompt and forget. Real business processes do not work that way. Approving a purchase, onboarding a customer or resolving a compliance question involves multiple steps, systems and decision points that unfold over hours or days. Stateful agents maintain memory across those steps, follow defined paths and hand work to one another. Graph-based orchestration makes those paths explicit, which allows teams to see what an agent can do, when it must stop and when a person must step in.

Sirohi said this explicitness is what makes agents trustworthy at enterprise scale. Vegavid's multi-agent system development and agentic AI development practices use role-based agents, shared memory and step-level logging so that every action can be reviewed. The approach powers solutions across AI agents for workflow automation, customer operations and back-office processes.

"A chatbot is a conversation. An enterprise agent system is a workforce with rules," said Mohit Sirohi, Founder and CEO of Vegavid Technology. "The companies that understand that difference will automate far more than those still thinking in terms of question and answer."

Key takeaways

Stateful agents handle multi-step processes that chatbots cannot

Graph-based orchestration makes agent behavior visible and controllable

Human checkpoints and logging support governance and trust

Multi-agent design allows specialization and parallel work

Sirohi encouraged enterprises to start with a single well-defined process, measure results and expand. Examples of this approach are available in the company's case studies, and client reviews can be read on Techreviewer and TechBehemoths.

About Mohit Sirohi

Mohit Sirohi is the Founder and CEO of Vegavid Technology. A computer science graduate of IIT Bombay and a former data scientist, he leads the company's AI, blockchain and Web3 engineering practice. Connect with him on LinkedIn or view his Crunchbase profile.

About Vegavid Technology

Vegavid Technology is a deep-tech company delivering AI agent development, generative AI, blockchain development and Web3 solutions to enterprises worldwide. The company combines strategy, engineering and long-term support to help clients move from concept to production. Explore the full range of services or contact the team.