Enterprises have moved quickly to adopt AI. Far fewer have figured out how to scale it. *Gartner reports that 63% of enterprises they surveyed either lack AI-ready data or are unsure they have it. That gap shows up exactly where AI is expected to deliver value: not just insights, but action. Without a reliable data foundation, early AI wins stay isolated and hard to repeat. This was a recurring theme in my recent conversation with Futurum analyst Mitch Ashley. As agents spread across apps and workflows, the question shifts—how do enterprises turn AI into a system with measurable outcomes? Three observations stood out.
Productivity is a starting point, not the goal
Most organizations begin their AI work with personal productivity: meeting summaries, drafting content, finding information faster.
There’s nothing wrong with starting there. The risk is stopping there. Tools help individuals move faster, but they don’t change how ;work flows through the business. The underlying processes stay the same. People still coordinate across systems. Measurement happens after the fact. Frontier Firms, businesses that are operationalizing AI across functions, take the next step: process-level change. They redesign workflows so that agents handle defined tasks end to end, with people stepping in where judgement and context matter most.
Systems of record are moving beyond storing data
The most effective AI deployments shift responsibility from people to agentic systems operating under clear boundaries. In customer service, agents handle routine interactions, gather context across sales, service, and billing and route complex cases with the right information attached. In finance, agents monitor payment patterns, flag exceptions, and initiate follow-up within defined limits. In both cases, the system of record is no longer a passive data store—it owns a workflow. That requires well-defined inputs, rules, and handoffs. Getting those right is the hard part!
The differentiator: governance and measurement
As agents scale, complexity arrives fast. You don’t end up with a handful of automated processes. You end up with hundreds or thousands. Without visibility, teams lose track of what is running and why. Progress in agentic CRM and ERP will not come down to who adds the most agents. It will come down to who can govern them. Frontier Firms also measure outcomes: resolution time, cash collection, pipeline velocity. Every deployment ties back to a metric that already matters to the business. If leaders can’t tell whether the system is helping, progress stalls.
What this means for business leaders
The organizations pulling ahead are redesigning processes with agents, so people can focus on work that creates real impact. That work starts small: one function, one process, one metric. Then it builds through iteration. I discuss these ideas in more detail in my conversation with Mitch Ashley, including how AI moves from experimentation into the core of how a business operates. Watch the full discussion to hear how these patterns are showing up across industries.
What else can you do?
- Turn great ideas into impactful solutions with Microsoft Power Platform
- Learn to transform your business with modern, AI-first applications in Microsoft Power Apps
- Optimize business processes with an end-to-end automation solution built for enterprise with Microsoft Power Automate
*Gartner Q&A with Roxane Edjlali, February 2025: 63% Lack AI-Ready Data
