AI Strategy & Roadmap in Fairfax, VA

Three written artifacts. First, a prioritized capability roadmap — typically three to five AI capabilities ranked by effort, revenue or mission impact, and ethical or compliance risk. Second, a build-vs-buy breakdown for the top three ranked capabilities: what it costs to build, what it costs to buy, what the tradeoffs are, and our recommendation. Third, a Phase 1 scope brief for the top-ranked capability — written at a level of detail that a developer or implementation team can execute against without the founders or operators in every planning meeting. The scope brief includes the integration points, the data sources, the acceptance criteria, and the handover requirements. You own all three artifacts. We do not retain any rights to the roadmap or the scope, and we do not require you to use us for implementation.

We treat compliance posture as a first-class input in the capability scoring, not a footnote at the end. During the intake, we ask specifically about data classification levels, the handling requirements for any CUI the AI system would touch, and whether the program has existing authority to operate under a system security plan that the new capability would need to fit inside. Every shortlisted capability gets scored against those constraints before it is ranked. If a capability requires a commercial SaaS tool that cannot meet the handling requirements, that gets called out in the build-vs-buy section — not discovered after the contract modification is signed. We are not a compliance firm and we do not provide legal or regulatory opinions, but we scope AI capabilities with the compliance surface area mapped, so the program manager can have an informed conversation with the contracting officer and the information security team before any build decision is made.

Yes, and this is one of the most common use cases in the Fairfax corridor. Research teams with a promising prototype often need a structured feasibility assessment that answers three questions: what does production deployment actually cost, who owns and operates the system after the grant period ends, and how do you staff the capability without a dedicated ML engineering team. A two-week deep dive is well-suited for this — we run the feasibility assessment against real-world deployment constraints, score the capability against effort and risk, and produce a Phase 1 scope brief that can accompany a commercialization grant application, an investor pitch, or a licensing conversation. If you have already presented results at a conference and are trying to figure out whether this becomes a product or a service, the strategy engagement is the right next step before you hire a developer or sign a pilot agreement with a larger partner.

Format and depth of the feasibility work, not the quality of the output. The two-day workshop is structured for operators who already have a reasonably clear sense of the problem space and want a fast, facilitated prioritization. We run the intake before the workshop, compress the leverage-point mapping and scoring into two intensive working sessions, and deliver the ranked roadmap and scope brief within a week of the final session. The two-week deep dive is for operators who are starting from a longer or less defined list, who need a more thorough build-vs-buy analysis, or who have compliance and integration complexity that requires more investigation before the scoring can be trusted. Both formats produce the same three artifacts. The deep dive produces more supporting analysis behind each ranking and a more detailed scope brief. Most federal contractor and healthcare clients in Fairfax choose the two-week format because the compliance surface area justifies the additional investigation time.

We work with the contractor and vendor side of public-sector programs, not directly with government agencies as the contracting entity. If you are a company delivering services to Fairfax County or a state agency and are evaluating whether to embed AI capabilities in your delivery model, the strategy engagement fits that use case directly. The build-vs-buy analysis accounts for the procurement constraints your client operates under, the data handling requirements for any government data the system would process, and the compliance posture you need to maintain to protect the contract relationship. County-adjacent healthcare, social services, and education technology contractors in the Northern Virginia market are a regular part of the client profile we work with, and the strategy outputs are written to support both internal go-ahead decisions and client-facing briefings when the program office needs to approve the approach.