Tag: technology

There’s a version of leadership that gets repeated so often it’s become wallpaper: don’t bring me problems, bring me solutions. Most people nod at it and move on. Fewer people apply it to how they consume information.

Open any feed on a given morning and you’ll find the AI and tech space running on a different rule entirely. A headline warns that a model will replace an entire profession. A thread declares that some new capability spells the end of privacy, or trust, or human judgment. The alarm is loud. The proposed remedy is almost never there. You finish reading and you know what to fear, not what to do about it.

That gap is the problem. Not the technology. The commentary.

The Pattern

Fear travels faster than nuance, and hot takes are built for speed. A prediction of collapse gets shared. A measured breakdown of trade-offs gets skimmed and forgotten. The incentive rewards the loudest framing, not the most useful one, and over time the discourse trains people to expect alarm as the default posture toward anything new.

Watch closely and the pattern repeats across almost every wave. New capability arrives. A chorus declares the sky is falling. A smaller, quieter group asks what changes for the people who have to work with this tomorrow morning. The second group rarely gets the same reach, but it does the actual work.

I’ve sat across the table from clients who read the alarm and absorbed it as fact. They arrived at the discovery call convinced a tool would either replace their team or fail spectacularly, with no room for the middle ground where most real outcomes live. Untangling that fear took longer than it should have. Someone upstream chose the take that traveled instead of the one that helped.

I’ve heard death pronounced so many times, for so many platforms, and still find myself across from customers asking how to implement the dearly departed. The thing most fear mongers fail to take into account is adoption, and the rate at which organizations can feasibly absorb the latest and greatest. Another item that goes uncounted, especially in AI, is the actual use case. Daily I sit with customers looking for viable use cases that fit their organization. Daily, I have to walk customers back from the ledge, because they heard, and didn’t quite see.

I’ve heard AGI declared, and apps promised to build themselves from nothing but a prompt, only to watch some of the biggest vendors quietly walk it back once the bill came due. The claim shrinks into a footnote a few announcements later, while the original headline keeps circulating as though it still holds. It would be a mistake on my part to repeat that headline to customers big and small just because it read well. They deserve an honest read of what a platform can do this quarter, not what a keynote implied it might do someday.

The Standard

Bring me problems, bring me solutions isn’t a rejection of concern. Concern is often correct. A new capability can shift power, displace work, introduce risk that didn’t exist before. None of that should be waved away.

The standard is what comes after naming it. If a piece raises an alarm, it owes the reader a next step: a mitigation, a framework for thinking it through, a boundary worth drawing, a question worth asking before adoption. Absent that, the piece isn’t analysis. It’s noise wearing the costume of insight.

This is the filter worth applying before you share, and before you let something reshape how you think about your own work. Ask what the piece is asking you to do differently. If the answer is nothing except to feel worse, that’s the tell.

The Takeaway

The next time a hot take crosses your feed, don’t ask whether it’s alarming. Ask whether it’s useful. Fear without a path forward is just weather. Anyone can report on it. The people worth listening to are the ones still standing there after the storm, pointing at the door.

1. Introduction
2. The Role of Proof of Concepts
3. Rapid Prototyping
4. Conclusion

Introduction

As a consultant, I receive many questions about the Power Platform and its viability as a SaaS solution:

• “Is it secure?”

• “Is it mature enough to handle enterprise-grade solutions?”

• “Why not just use a ‘pro’ developer?”

These are all valid questions because they ultimately point to a larger, fundamental question that organizations typically have — and it can often be summed up with one word: HOW.

While “why” is often the first lens through which we view a problem, I’ve found that dwelling too long on the “why” can sometimes create more uncertainty than clarity. “Why” tends to be conceptual, inviting philosophical or theoretical discussions that don’t always lead to actionable steps. On the other hand, “how” shifts the conversation toward execution. It’s grounded, specific, and provides a strategy to address the questions at hand.

Take security, for example. If someone asks me why the Power Platform is secure, I could say, “It’s built on Microsoft’s trusted infrastructure.” While this is a fair response, it often leads to more follow-up questions: “Why is Microsoft’s infrastructure trusted?” or “Why should I believe it’s secure for my use case?”

Instead, focusing on the how delivers a clearer picture. For instance, how is the Power Platform secure? Through Azure Entra ID (formerly Azure AD), which enforces strong authentication, conditional access, and Single Sign-On (SSO). It goes further by integrating Multi-Factor Authentication (MFA) to add an extra layer of protection against unauthorized access. This level of detail gives key stakeholders in organization such as the CIO, the developer, or IT, tangible reasons to trust the platform.

The same shift from “why” to “how” applies when organizations are exploring the Power Platform’s broader potential. And this is where Proof of Concepts (POCs) come in.

The Role of Proof of Concepts

Proof of Concepts bridge the gap between “why” and “how.” They take abstract ideas and translate them into tangible solutions. A POC allows an organization to validate a concept, ensuring it meets their specific needs before committing to a full-scale implementation.

For example, when someone questions the Power Platform’s ability to handle enterprise-grade solutions, a POC can demonstrate how the platform seamlessly automates workflows, integrates data, and scales to meet business demands. It provides a real-world answer to the hypothetical “what ifs.”

By focusing on the how with a POC, we not only provide clarity but also give stakeholders the confidence they need to invest in the solution. POCs empower decision-makers to move forward with certainty, backed by a tangible demonstration of the platform’s capabilities.

Rapid Prototyping

When it comes to the Power Platform, one of Microsoft’s standout features is its low-code/no-code approach. While planning and requirements gathering remain basic necessity for any enterprise solution, the development time is reduced.

Take Canvas Apps as an example. These are web applications, but unlike the earlier days of web development, where every pixel and element had to be meticulously coded, Canvas Apps simplify the process. They allow developers to visually design the interface by dragging and dropping components onto a canvas. This lets them spend more time focusing on integrating and leveraging backend data sources—whether through Power Automate flows or connectors that directly link the app to the necessary data.

This shift in development approach transforms timelines. What used to require four weeks of intensive coding can now be accomplished in two weeks. The focus shifts from manual coding to refining security, optimizing processes, and achieving meaningful business outcomes.

Yes, investing time and resources in the Power Platform is a commitment, but it’s one that accelerates outcomes. Development on the platform allows us to either achieve success more quickly or “fail fast,” providing valuable insights along the way.

When we fail fast, we uncover lessons that inform better decisions and sharper strategies. When we succeed, we’re not just building solutions—we’re celebrating the realization of a clear path forward. Either way, the Power Platform ensures we’re moving with purpose, minimizing delays, and maximizing the value of our efforts.

Conclusion

If you’re using an M365 license, whether it’s E5 or a lower tier, you already have access to the Power Platform. Chances are, these tools are at your fingertips, yet they might be overlooked in favor of subscriptions to other software.

This is where a Proof of Concept (POC) on the Power Platform becomes invaluable. A POC will do one of two things:

1. Draw you in – It can showcase the Power Platform’s potential, demonstrating its value as an enterprise solution tailored to your needs.

2. Drive you forward – It can help you reach a clear conclusion, whether that’s investing in the Power Platform or exploring alternative solutions.

But here’s the key: how would you know if you didn’t try it?

A POC offers the opportunity to explore, test, and validate the Power Platform’s capabilities within your unique business context. It’s a low-risk, high-reward approach to uncovering whether this suite of tools can transform your processes and deliver the outcomes you’re seeking.

Thank you for reading!