Turn Your AI Experiments Into Mission Impact

Federal agencies are deploying AI prototypes and pilots across mission environments. The challenge now is to scale those systems into production responsibly, maximize operational impact, and prepare for the next generation of AI capabilities.

The Everforth ECS 2026 Data and AI Report explores the trends, risks, and priorities shaping federal AI strategy over the next 12 months.

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Preparing for FY27 Priorities

As agencies prepare for FY27 modernization priorities, understanding where AI investments are delivering measurable value has become increasingly important.

Decisions made over the next 12 months will determine whether AI initiatives scale into mission capabilities or remain isolated pilots. This report identifies the trends, risks, and priorities federal leaders should focus on now.

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What You’ll Learn

Foundations

How integrated AI ecosystems are replacing standalone tools

Why AI outcomes depend on data readiness

How evolving governance and procurement priorities are reshaping deployment strategies

Why AI literacy and workforce readiness are becoming strategic requirements

Frontiers

How vertical intelligence is driving mission-specific AI adoption

Where agentic AI and autonomous systems create operational advantage

How agencies are balancing deployment speed with trust and validation

Why AI-assisted development and workforce transformation are accelerating

Fault Lines

Why disconnected pilots fail enterprise adoption

How infrastructure and compute costs are becoming strategic constraints

Hidden risks of poorly governed AI-generated outputs

Why trust, explainability, and workforce readiness remain critical gaps

Connect With our 2026 Data and AI Report Authors

The insights in this report are the product of ongoing collaboration between Everforth ECS experts working at the forefront of federal AI modernization, cross-referenced with learnings from industry and the commercial sector. It reflects lessons learned from real-world deployments, observations from the field, and ongoing conversations about what is working, what is not, and what comes next. These insights come from practitioners helping agencies navigate AI adoption every day.

Matthew McDonald
Vice President, Technology and Innovation

Patrick Elder
Director, AI Solutions

Austin Amaya, Ph.D.
Director, AI and Analytics

Anthony Zech
Director, Data and AI

Ketan Mane, Ph.D.
Director, Digital and Artificial Intel Solutions

Harkiran Kaur
Senior Product Manager, AI/ML

Mojgan Pedoeim
Director, Solutions Architecture

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