TL;DR

  • You can replace a junior proposal writer, market analyst, and compliance reader for under $50/month.
  • The stack: one frontier-model subscription, one local model for sensitive work, one automation tool, one transcription tool, one compliance-specific AI.
  • The FY2026 NDAA directs the DoD to bake AI security requirements into CMMC. If you handle CUI, “just paste it into ChatGPT” is now a compliance violation, not a productivity hack.
  • The one rule: CUI never leaves your boundary. Everything else is fair game.
  • This is the cheapest force multiplier the small-business side of the defense industrial base has ever been handed. Most vets still aren’t using it.

How can a veteran-owned small business use AI without a tech team?

Two years ago the honest answer was “carefully, and not for much.” In 2026 the honest answer is different. A single veteran founder — no CTO, no compliance officer, no $200,000-a-year proposal manager — can now stand up a working back office for the price of a tank of gas. If you’re running an SDVOSB or thinking about starting one, here is the stack I actually use.

Tool 1: One frontier model for anything that isn’t CUI

Claude, ChatGPT, or Gemini — pick one, pay for it, learn it cold. Writer, researcher, editor, devil’s advocate. Use it to draft capability statements, summarize a 90-page solicitation into the 12 things you actually need to respond to, mock a pricing narrative, and critique your own draft as your toughest contracting officer. Public info in, fast output out. Cost: ~$20/month.

Tool 2: One local model for anything sensitive

The second you touch CUI, export-controlled info, or a prime’s pre-award strategy, commercial frontier models become a liability. The DoD’s CMMC program is being extended to cover AI directly, and the FY2026 NDAA directs the Department to incorporate AI security into DFARS. Pasting CUI into a public chatbot is the textbook “shadow AI” violation.

Fix: run a local model (Ollama + Llama 3.1 or Qwen) for sensitive work. Slower. Good enough. Never leaves your machine. Cost: $0 software; a decent GPU if you don’t have one.

Tool 3: One automation tool

n8n, Make, or Zapier. Connect email, Drive, CRM, calendar. Build three workflows and leave them alone:

  • New RFI in inbox → auto-summarized with NAICS, due date, go/no-go questions.
  • Every Friday → list of every SAM.gov posting in your NAICS codes.
  • Capability statement update → auto-pushed to your site and three primes’ SB liaison inboxes.

You’re now doing a part-time BD coordinator’s job with zero extra headcount. Cost: ~$20/month.

Tool 4: One transcription tool

Whisper (local, free) or Otter ($10/month). Record every industry-day call and teaming discussion you have permission to record. Transcripts + model summary = never lose an action item, and you can search a year of conversations in seconds.

Tool 5: One compliance-specific AI

Platforms like Ask Sage, NISTCompliance.ai, or Microsoft 365 GCC-High compliance modules are built for DoD contractors handling CUI. They accelerate CMMC readiness, ingest your policies, flag gaps. If you’re headed for Level 2, you’ll need one by next year. Budget $50–200/month when you’re ready.

The small businesses who will still be standing in 2028 aren’t the ones with the most headcount. They’re the ones who learned to run ten people’s jobs with two people and a stack.

The one rule that keeps you out of trouble

CUI never leaves your boundary. Not into ChatGPT, not into a public Claude window, not into a Google Doc shared with “anyone with the link.” If you’re unsure whether something is CUI, treat it like it is until you’ve checked the contract’s DFARS 252.204-7012 clause.

Commercial AI for public work. Local AI for sensitive work. GCC-High or a compliance platform for CUI. That’s the whole framework.

What to do this week

  • Pay for one frontier-model subscription. Use it daily for seven days with your real work, not toy prompts.
  • Install Ollama on your laptop. Pull one model. Use it for one task you’d never paste into a public chatbot.
  • Write down the three recurring tasks you hate most. Automate one by Friday.
  • If you’re pursuing Level 2 CMMC, start evaluating Ask Sage or NISTCompliance.ai now.

Forty-five minutes of work, about the cost of a family dinner per month, and you’ve just compressed a five-person back office into a stack you carry on your hip.


If you know a veteran founder still drafting proposals by hand at 11 p.m., send them this. The tools are finally cheaper than the hours.

Subscribe to Voice for Valor for weekly field notes from one veteran builder to another.


Sources

  • FY2026 NDAA directs DoD to incorporate AI security into CMMC and DFARS — Crowell & Moring client alert (Jan 2026); Freshfields US blog; Akin Gump alert summarizing Sec. 1512, Sec. 1535 (AI Futures Steering Committee), and Sec. 347 (commercial AI in logistics).
  • CMMC finalized autumn 2025; applies across the Defense Industrial Base — HSToday; NR Labs; VSO compliance summaries.
  • Commercial cloud AI (Azure Commercial, AWS Standard, GCP) does not meet CUI processing requirements; GCC-High required — VSO; hdtech.com; NR Labs.
  • “Shadow AI” risk: pasting CUI into public models is a compliance violation — Quzara; HSToday; Government Contracts Legal Forum.
  • DFARS 252.204-7012 is the authoritative CUI / cyber incident clause cited in DoD contracts — current and standard.
  • Ask Sage and NISTCompliance.ai position explicitly for CMMC / DIB use cases — vendor product pages and industry coverage.

About the Author

Michael Komorous is the host of Voice for Valor, a podcast dedicated to sharing the stories of military veterans, first responders, and their families. A combat-rated Air Force officer, Mike served as a nuclear missile operator, C-17 pilot, and MQ-1 Predator pilot before managing rated personnel across the Air National Guard. His policy career spans legislative affairs, defense acquisitions, and geopolitical strategy at OSD Policy, including analysis of the war in Ukraine.

Today Mike builds AI systems and leads Alpha Zulu Solutions, a service-disabled veteran-owned small business focused on defense technology and government contracting. He holds advanced analytics training from George Mason University’s Innovation Lab.

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