The new enterprise stack is being built around AI agents
The new enterprise tech stack is being built around AI agents because they’re becoming the new digital workforce, and enterprise software is shifting from tools to agentic systems. Data infrastructure is also becoming critical to AI agent performance, and governance will define how far enterprise agents can go.
According to Microsoft, 80% of Fortune 500 companies use active AI agents. As you can see, one of the biggest enterprise technology trends is adding AI agents to tech stacks.
Why are businesses so interested in AI agents, though?
Are AI Agents Becoming the New Digital Workforce?
AI in business tech is moving beyond simple chatbots and copilots; they can now handle tasks that once required employees to navigate multiple business applications. These systems can:
- Interpret goals
- Make decisions within defined boundaries
- Access company data
- Take action across software platforms
An agent such as GTM AI changes how companies think about their tech stack. Instead of adding another application for every individual task, companies can build systems where agents coordinate work across existing tools. This results in an enterprise environment that’s increasingly designed around delegation and automation.
Enterprise Software Is Shifting From Tools to Agentic Systems
Traditional enterprise software is generally organized around applications, but the AI transformation is beginning to blur those boundaries. An agent can operate across multiple systems, pulling information from one application and using it to trigger an action somewhere else. This creates a more connected layer above the existing software stack.
Businesses may no longer need employees to understand every individual interface since agents can serve as an operational bridge between systems. That doesn’t necessarily mean existing enterprise software disappears, though. Its role can change as agents become the primary way people interact with underlying databases, workflows, and applications.
Data Infrastructure Is Becoming Critical to AI Agent Performance
AI agents are only as useful as the information they can access and understand. This makes data infrastructure one of the most important foundations of the new enterprise stack. Poorly organized or outdated information can lead to inaccurate recommendations or actions.
Companies have a growing incentive to improve data quality, permissions, integrations, and governance alongside their AI investments as part of business technology advancement. Data becomes fuel that allows AI agents to reason, coordinate processes, and execute work across the organization.
Will Governance Define How Far Enterprise Agents Can Go?
Giving AI agents the ability to take action creates opportunities for greater efficiency, but it also introduces new risks. There needs to be clear boundaries around what they are allowed to do.
Enterprises are building governance into the emerging agentic stack through:
- Permissions
- Audit trails
- Approval workflows
- Monitoring
- Human oversight
Some actions can be fully automated, while higher-risk decisions may require an employee to review and approve an agent’s recommendation. This creates a model of controlled autonomy rather than unrestricted automation.
AI Agents Are a Key Part of Any Tech Stack
As technology grows, it’ll become more common to find AI agents in any tech stack. If your company doesn’t use one yet, then it’s worth looking into, or else you’ll risk falling behind your competition.
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