
The first wave of generative AI focused largely on assistance: drafting content, summarizing information, analyzing documents, and helping employees work faster.
The next phase is about action.
AI agents are designed to take on more complex, multi-step work. Microsoft’s Copilot Cowork, for example, can execute complex tasks across multiple tools and return completed results rather than simply providing a draft or recommendation. Microsoft announced its general availability worldwide on June 16, 2026.
For business leaders, that changes the conversation from:
“How can our employees use AI?”
to:
“What work should AI be trusted to perform?”
It can be tempting to start by asking where an AI agent can be deployed. A better place to begin is with the process itself.
Where is your organization losing time? Which tasks rely on repetitive manual work? Where are employees constantly gathering information, moving data between systems, preparing reports, or completing predictable steps?
At BBB Techs, we believe technology decisions should start with business objectives, not software. Our approach connects data, automation, cloud, and collaboration rather than treating them as isolated technology projects.
The same principle applies to AI agents.
Giving AI the ability to take action makes governance even more important.
Leaders need to understand:
Microsoft has built access, security, compliance, usage reporting, and cost controls into Copilot Cowork, illustrating how governance is becoming part of the agent conversation.
Before investing in an AI agent, consider five questions:
If those answers aren't clear, the first step may not be building an agent. It may be strengthening the foundation around it.
The value of AI agents shouldn't be measured by how many an organization builds. It should be measured by whether they solve meaningful business problems and fit appropriately into existing processes and systems.
BBB Techs helps organizations modernize business processes through Microsoft 365, Copilot and AI enablement, Power Platform automation, data and analytics, Microsoft Fabric, cloud solutions, governance, and training.
Start with the problem. Define the outcome. Then determine where an AI agent can make a meaningful difference.