How did we end up with more tools than ever and less time to do the work that actually matters?

It's a question worth sitting with, because the answer explains a lot about where this market is headed and what it's going to take to win in it.

The Post-COVID Tool Explosion

After COVID, businesses and government agencies bought a point solution for everything. Collaboration tools, project management platforms, data providers, procurement software. Work went remote overnight and every team needed something to keep moving.

It made sense at the time. Budgets opened up, digital transformation became a mandate, and vendors rushed to fill every gap with a purpose-built app. The result was a rapid expansion of technology stacks across the public and private sectors that kept organizations running when nothing else could.

But it came at a cost most organizations are still paying. It left most of them with a stack of tools that don't talk to each other and teams spending more time managing software than doing their actual jobs. The average GovTech or GovCon team now juggles a dozen or more disconnected systems, each with its own login, its own data, and its own version of the truth. The tools were supposed to make work easier. For many teams, they made it heavier.

AI Is Exposing the Cost of Fragmentation

AI is forcing a similar shift, and in the process exposing just how much that fragmentation is costing organizations. Every company that tries to layer AI onto a disconnected stack quickly discovers the same thing. The AI is only as good as the infrastructure underneath it. If your data lives in ten places, your processes aren't connected, and the knowledge that matters most lives in people's heads rather than in your systems, no chatbot or copilot is going to transform how your business operates.

From what I'm seeing across conversations with CEOs, revenue leaders, and investors in GovTech and GovCon, the market is splitting into two camps. And both are struggling with the same fundamental problem.

Two Camps, Same Problem

The first camp is all in. They're using Claude, OpenAI, Copilot, and a growing list of AI-powered tools. And these tools are impressive for one or two tasks. Summarize a document. Draft an email. Answer a question from a dataset. But getting AI to streamline an entire lifecycle from signal to close to delivery is a completely different challenge. That's where the real value is, and almost no one has figured it out yet. The gap between "AI can help with a task" and "AI can run a workflow" is enormous, and it's where most organizations stall.

The second camp hasn't jumped in at all. They know AI matters. They see the headlines, they hear the board asking about it, they watch competitors make announcements. But they're stuck on where to invest, what to invest in, and how to make it work without ripping everything apart.

Both are valid positions. And both lead to the same conclusion.

What Actually Transforms the Business

Adding a chatbot or a copilot to your existing stack isn't what transforms the business. What transforms the business is building the infrastructure that lets AI agents operate across your data, your systems, and your processes autonomously. Not just answering questions. Doing the work.

This is a critical distinction that gets lost in the noise of the AI market. There's a difference between generative AI, which responds to prompts and produces content, and agentic AI, which operates across systems, orchestrates multi-step processes, and executes work without waiting on a person to push it forward.

That's how we start to redesign the work itself. Make it easier. And win back the time to actually be with people instead of stuck on webcams and in email threads.

Why Infrastructure, Not Another App

The reason businesses need this infrastructure is because it's very hard and very expensive to get where AI is going if you're building on top of old systems. Your teams feel it. Your customers feel it. People asking for the same thing multiple times. Struggling to get value out of tools that were supposed to make things easier. Not knowing whether the next technology investment will actually change anything.

This isn't a technology problem in the traditional sense. It's an orchestration problem. The data exists. The signals exist. The processes exist. But they're scattered across systems, teams, and individual knowledge that's never been captured in any system at all.

The reality is that intent, signals, and business process all need to be orchestrated together, all at once. External signals like market activity, contract opportunities, and policy changes. Internal signals like pipeline status, team capacity, and institutional knowledge. And the knowledge that lives in people's heads but never makes it to a shared drive. All of it needs to work together for AI to deliver real value. That's how businesses will ultimately deliver more value to their government customers.

Every Team, Forward Deployed

Think about what that actually means. If you strip out the admin work, the constant checking, the formatting, the coordinating, the copying information from one system to another, every department starts to look like a customer-facing team. Finance spends less time reconciling and more time advising. Operations spends less time reporting and more time optimizing. Business development spends less time searching and more time building relationships.

Every team becomes forward deployed. What's stopping that from being true right now?

For most organizations, it's the absence of the infrastructure layer that connects everything. Not another dashboard. Not another data provider. Not another app. The layer underneath all of it that makes autonomous workflows possible.

The Transformation Is Already Underway

People should be spending more time doing what technology was supposed to free them up to do in the first place. The relationship building. The strategic thinking. The mission delivery. The things that actually create value for government customers and the communities they serve.

That's the transformation happening in GovTech and GovCon right now. Not more tools. Better infrastructure.

The companies that recognize this early and invest accordingly won't just operate more efficiently. They'll fundamentally change the value they deliver to their customers, the speed at which they deliver it, and the experience their teams have doing the work.

One Question to Start With

If you're evaluating your next AI investment, start with one question. Does it add another tool to manage, or does it remove the need to manage tools at all.

The answer will tell you whether you're investing in the last era or the next one.