By Thaïs García Sánchez, Power Platform Director at ALIANDO
For years, automation has been talked about as if it were a destination—a goal that organizations would eventually reach after undertaking major projects, complex migrations, and months of analysis. But the reality is simpler—and more interesting.
The new wave of intelligent automation isn’t coming—it’s already here, driven by platforms like Microsoft Power Platform, Microsoft Copilot, and AI agents. And it’s changing, piece by piece, the way companies operate, make decisions, and scale.
Before diving into the technology, it’s worth acknowledging something obvious across organizations in all sectors: processes remain the bridge between people and results. When that bridge fails—due to administrative overhead, a lack of connectivity, slow decision-making, or excessive reliance on IT—business comes to a standstill. Modern automation was created precisely to fill that gap, as part of business transformation initiatives aimed at optimizing processes and operations.
From “always-in-the-works” automation to automation “that just happens”
Over the past five years, the Microsoft Power Platform has established itself as one of the world’s most widely adopted low-code platforms, with more than 10 million active developers according to official Microsoft figures (source: Microsoft Build 2023 Keynote). It enables the transition from idea to solution in days, not months.
But the truly transformative change is coming now with Microsoft Copilot and AI agents. According to Microsoft, 70% of the code generated in Power Apps and Power Automate in environments using Copilot is already created using natural language (source: Microsoft Power Platform Release Wave 2 2024 documentation).
This completely shifts the balance between vision and execution. The question is no longer “Can this process be automated?” but rather “Which process makes the most sense to automate first?”
Here’s the key point: automation is no longer a project—it’s an ongoing capability. In this context, more and more organizations are accelerating their adoption of low-code platforms by relying on specialized partners.
Copilot as a Catalyst: From Process to Impact
Microsoft Copilot doesn’t replace teams—it amplifies them. It helps model processes, suggest automations, generate applications, and transform data in a natural way, while always maintaining human control.
It works especially well in scenarios where there is a clear, repetitive pattern. Some representative examples:
Automatic generation of incident summaries with action recommendations in support departments.
Building dashboards using natural language from data scattered across Excel, Dataverse, or SQL.
Automation of complex approvals without the need for manual integrations.
Conversion of BPMN models into executable workflows.
This change eliminates a long-standing bottleneck: the communication gap between business units and technical teams. Both can now interact using a common language, accelerating the process from implementation to impact.
From Assistant to AI Agent: When Automation Moves Beyond Reactive Response
While Copilot acts as an assistant, AI agents represent a further step toward operational autonomy. Microsoft defines them as “systems capable of acting on their own to achieve objectives within limits defined by the organization” (source: Microsoft Copilot Studio documentation, 2024). In practical terms, these are agents that monitor, make decisions, and execute actions within business processes without direct intervention.
Examples already in use at various organizations:
Automatic review of orders at risk of delay, analysis of causes, and proposal of alternatives to the customer.
Synchronizing inventory across disconnected systems, detecting inconsistencies, and generating tickets.
Classifying invoices, validating accounting rules, and detecting anomalies in finance departments.
The difference is clear: automation no longer depends on the user but instead anticipates the problem.
It’s not magic: it’s aligned processes, governance, and technology
The shift toward AI-first models is appealing, but real results depend on a solid foundation of process design and governance.
AsThaïs García Sánchez, Power Platform Director at ALIANDO,points out:“Automation is no longer about doing more with less, but about allowing people to focus on what truly generates value. The combination of Power Platform, Copilot, and AI agents is breaking down barriers that once seemed insurmountable.”
There are three common principles among organizations that are achieving better results:
Process modeling upfront. Use of BPMN, value analysis, and understanding which activities have an impact versus those that do not.
Design with control from the start. Microsoft Power Platform incorporates security, DLP, ALM, and enterprise monitoring capabilities that must be enabled from the early stages.
Progressive scaling. Start with limited use cases, specific teams, and measurable impact, followed by structured expansion.
What’s Next: Increasingly Autonomous Automation
The environment is evolving toward systems capable of understanding context—not just executing tasks. AI agents capable of orchestrating complex cross-departmental processes.
And tools like Microsoft Copilot that allow business users to build solutions without the need for advanced technical knowledge. Intelligent automation is not intended to replace people, but to free up their time for higher-value activities: reducing manual tasks, minimizing operational errors, and enabling organizations to grow without proportionally increasing their operational burden. In this scenario, having a structured approach and specialized guidance is key to ensuring real impact.
Microsoft Power Platform, Microsoft Copilot, and AI agents are redefining what it means to run a modern organization. The opportunity is significant for organizations that approach this change with clarity, structure, and a focus on the process. Because the real revolution isn’t technological. The revolution is that automation is, at last, accessible.
