This post is part of our “AI Agents in the Enterprise” series. Explore how IT, business operations, sales, and executive leaders can harness AI agents to transform their organizations. In this post, we showcase how AI agents can drive exponential gains in productivity, cost savings, and customer experience. We wrote this article based on keynote sessions by Microsoft at the European Power Platform Conference 2025.
For years, business leaders have chased incremental gains: 10% more productivity, 5% lower costs, 15% faster delivery. But in today’s AI-first world, those targets are no longer ambitious enough. The real opportunity lies in 10X transformation, radically rethinking how work gets done, how decisions are made, and how value is created.
At the heart of this shift are AI agents: autonomous digital coworkers that don’t just assist, they act, reason, and collaborate. And thanks to platforms like Microsoft Power Platform and Copilot Studio, these agents are no longer futuristic concepts. They’re here, and they’re already delivering results.
AI copilots have become familiar tools in many organizations. They help summarize documents, suggest responses, and automate simple tasks. But they rely on human prompts. Agents go further.
As Ryan Cunningham, (Corporate Vice President, Power Platform Intelligent Applications at Microsoft), explained at the European Power Platform Conference, “Agents are not just assistants. They’re autonomous collaborators that can reason, act, and orchestrate complex workflows, without waiting for a human to tell them what to do”. This shift from reactive to proactive intelligence is what enables exponential gains.
As we explored in Part 1, agents can reason, act, and collaborate. Let us remind you of what sets them apart:
And they’re not limited to one domain. Agents are already transforming sales, finance, operations, and customer service. Let’s look at how that translates into business value.
The numbers speak for themselves
These aren’t pilot projects, they’re production deployments across industries, from retail to finance to manufacturing.
In Part 1 we explored the ‘Crawl, Walk & Run’ principle. For BDM’s we advise to start small and to scale fast. You don’t need a team of data scientists to begin. Encourage your teams to experiment, then invest in high-impact use cases.
AI agents aren’t just about doing things faster. They’re about doing things differently. They enable new business models, new customer experiences, and new ways of working. So if your organization is still chasing 10% gains, it’s time to ask: what would 10X look like? Because with AI agents, it’s not just dream; it’s a possibility.
Next in the series: Meet your new Sales Development Rep: how AI agents are revolutionizing sales engagement.
Missed the previous one and curious about a deeper technical overview of agent architecture? Read our blogpost From copilots to autonomous agents: How IT can lead the next wave of enterprise automation.