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Ninety Three Percent of Software Leaders Are Building Custom AI Agents

4 min read.

Author

Midas AI Research
July 21, 2025

The era of off the shelf AI is ending. A new report shows that software leaders are building their own AI agents at a staggering rate.

Ninety three percent of software executives now plan to launch custom built agents within their organizations.

This is not a trend. It is a shift in how software is designed, delivered, and scaled.

What the Report Actually Reveals

The study surveyed over five hundred software leaders worldwide. Nearly half have already embedded AI agents in their daily workflows. Another third are actively piloting them.

That means the majority are not waiting. They are moving forward right now.

Two thirds say developers are more productive. Almost sixty percent report better test cycles and higher code quality.

And it is not limited to engineering. These teams are deploying agents across support, sales, HR, and product. The results are already visible.

Why It Is Happening Now

First, the pressure is real. Budgets are tight. Deadlines are tighter. AI agents offer a path to automation that boosts speed without bloating cost.

Second, the tools have matured. Platforms like LangChain and AWS Bedrock remove the friction. You no longer need an army to ship secure, useful AI.

Third, the return on investment is clear. Teams that adopt agents are shipping faster, fixing bugs earlier, and closing support tickets with fewer human touches.

The advantage compounds.

What This Means for the Way We Build Software

These agents are not assistants. They are becoming teammates.

They watch pull requests. They test code. They draft documentation. They route tickets and sometimes resolve them.

Inside support teams, they respond to customers in real time. Inside HR, they process forms and flag issues.

What starts as a tool becomes a workflow layer. And that unlocks transformation across the entire company.

From operations to marketing, teams begin to work like developers. Fast. Focused. Integrated.

The Challenges Are Real

The biggest hurdle is integration. Most enterprise systems are still disconnected. That means building agents is not just about logic. It is about plumbing.

Security comes next. Agents touch sensitive systems. If they are not governed properly, the risk outweighs the benefit.

And trust is still fragile. Another survey shows that while agents could unlock hundreds of billions in value, most leaders in Europe remain skeptical. That hesitation could stall adoption unless trust and transparency improve.

What Success Looks Like

Winners treat agents as infrastructure. Not a feature.

They start small. One team. One agent. One metric.

They build data pipelines first. They get buy in early. They train the team on new workflows and embed security from day one.

Then they scale.

A developer no longer context switches. A support rep never misses a request. A finance team reconciles overnight.

This is not automation for its own sake. It is transformation with a purpose.

Your First Move

If you lead software strategy, start with your bottlenecks. Look for tasks that are frequent, repeatable, and rule driven.

Build a small pilot. Connect one dataset. Deploy one agent. Measure real performance.

Then invest in long term integration and observability.

Agents only work when they can see what they need and prove what they did.

If you are a builder, this is your time. The stack is forming. The gaps are everywhere. Memory layers. Control surfaces. Vertical integrations.

Find the edge that nobody else is watching. And ship.

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