The Agentic Workspace Layer Unfolds

Enterprise AI is no longer just assisting; it is executing, as agents begin to plan, coordinate, and complete complex workflows across enterprise systems.

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Enterprise AI is moving beyond assistive use cases, with agents increasingly expected to plan, coordinate, and carry out complex workflows across enterprise systems. Simply put: If the first wave of enterprise AI was defined by chatbots answering questions, the second wave, the one unfolding right now, is about getting things done.

This shift is underway across boardrooms and engineering or development teams. AI systems are no longer just drafting emails or summarising meetings. They are being asked to plan, orchestrate, and execute multi-step workflows across entire enterprise tool stacks.

For instance, Microsoft’s Copilot uses real-time signals from Outlook, Teams and Excel to ensure context-aware actions. It also leverages real-world data (like an unread email or a mention in a chat) to remind a user of a pending action and then builds tailored outputs.

Similarly, Google is enabling AI agents to interact with its productivity suite through programmable interfaces. A programmed AI agent can now enter a Google Drive, open a document and edit it — just like a human, but much faster.

Beyond big techs, a swarm of startups is creating AI conduits that no longer just offer assistance but can execute multi-step workflows.

“The workplace itself is becoming the operating environment where agents plan and execute work… What the industry is building is not simply smarter assistants. It is a new execution fabric that sits between human intent and enterprise systems,” said Greyhound Research CEO Sanchit Vir Gogia.

“The workplace itself is becoming the operating environment where agents plan and execute work… What the industry is building is not simply smarter assistants. It is a new execution fabric that sits between human intent and enterprise systems,” said Greyhound Research CEO Sanchit Vir Gogia.

Taken together, a new layer of enterprise AI architecture is forming, one that could prove more consequential than the historic transition to the cloud. But how is this new enterprise AI stack taking shape?

From Assistance To Execution

The paradigm is moving from AI that helps you work to AI that works for you. The engineering implications of this shift are massive, requiring a multi-layered approach to handle the complexity of the modern office.

Gogia breaks this down into........

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