AI Acquisition Lessons Agencies Cannot Afford to Ignore

Healthcare professional holding an electronic device.

Speed Without Lessons Creates Repeat Mistakes

Agencies are buying AI faster.

But speed without lessons learned becomes expensive repetition.

Faster acquisition creates new opportunities, but it also increases the risk of repeating the same mistakes.

Requirements are rewritten. Validation changes. Contract language varies across programs. Lessons remain within individual teams rather than improving future procurements.

This results in agencies paying to solve the same problems all over again.

Healthcare professional holding an electronic device.

Every Acquisition Should Make the Next One Better

Lessons learned should strengthen future requirements, improve acquisition language, and reduce risk across future procurements.

When agencies fail to capture and apply the lessons learned systematically, contract risks repeat across acquisitions. Best practices remain trapped within individual programs. Opportunities to improve future acquisition outcomes are lost.

This slows modernization and reduces the long-term value of AI investments. For VA and DHA programs, this hurts efforts to maximize efficiency, reduce acquisition risk, and improve future mission outcomes.

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HITS Turns Lessons Learned Into Better Acquisitions

HITS understands that every AI acquisition should strengthen the next one.

Programs need more than documentation. They need a repeatable process that captures lessons learned and applies them across future procurements.

Here’s what that looks like in practice:
Lessons learned. We capture insights from requirements, testing, quality assurance, and release activities. This preserves knowledge beyond a single program.

Acquisition language. We translate operational lessons into stronger requirements and acquisition documentation. This improves future procurements.

Validation checkpoints. We establish repeatable validation and oversight checkpoints that strengthen future acquisitions. This reduces avoidable acquisition risk.

Continuous improvement. We convert lessons learned into repeatable acquisition practices that reduce repeat mistakes. This also strengthens future AI investments.

The result: agencies build institutional knowledge and acquisition discipline instead of wasting time and resources repeating mistakes.

Clinician using a digital health interface.

Better Acquisitions Start With Better Lessons

AI acquisition should become smarter with each iteration.

When lessons learned are systematically captured, shared, and applied, agencies reduce risk, improve future procurements, and strengthen mission outcomes.

HITS helps federal health programs transform lessons learned into usable acquisition discipline, not after-action paperwork.

Every AI acquisition should make the next one better.

Book a 15-minute fit call to discuss teaming or direct support: https://calendly.com/jhoyte-hits/teamfit

References

  1. https://media.defense.gov/2022/Jun/22/2003022604/-1/-1/0/Department-of-Defense-Responsible-Artificial-Intelligence-Strategy-and-Implementation-Pathway.pdf
  2. https://www.health.mil/Reference-Center/Publications/2025/03/26/MHS-Digital-Transformation-Strategy
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