The federal government’s AI mandate is clear: adopt, deploy, and operationalize artificial intelligence across mission-critical functions. But the gap between executive orders and production AI is wider than most agency leaders realize.
The Readiness Gap
Most government AI initiatives stall in the same places:
- Data quality — models are only as good as the data they’re trained on, and most agency data environments are fragmented, inconsistent, or locked in legacy systems
- Talent gaps — the federal hiring process can’t compete with private sector AI salaries, creating dependency on contractor talent that may not align with long-term needs
- Procurement friction — the acquisition process wasn’t designed for iterative, experiment-driven technology deployment
Our 90-Day Framework
At Marcman, we’ve developed a structured approach that gets agencies from assessment to production on an accelerated timeline:
Days 1-30: Discovery & Foundation We assess the data landscape, identify high-value use cases, and establish the infrastructure baseline. This phase produces a prioritized roadmap with clear success metrics.
Days 31-60: Build & Validate Rapid prototyping of the top-priority use case using production-grade architecture. Not a demo — a working system tested against real data with measurable performance benchmarks.
Days 61-90: Deploy & Prove Production deployment with monitoring, feedback loops, and change management. We train the operational team and establish the governance framework for ongoing AI operations.
What Makes This Work
The difference between our approach and traditional AI consulting is simple: we don’t build PowerPoint AI. Every engagement produces a working system that delivers measurable value within the first quarter. If it doesn’t, we course-correct — we don’t hide behind a statement of work.