AI Consulting in Fairfax

Yes. The most common build for research environments is a grant-tracking and compliance aggregator that pulls disbursement status, deliverable milestones, and reporting deadlines from the funder's portal — Research.gov for NSF, eRA Commons for NIH — and surfaces them in a single dashboard administrators actually check. We handle the OAuth or API-key integration with the funder system and connect it to whatever the lab uses internally, whether that's a SharePoint folder, a project tracker, or a simple shared inbox. The goal is eliminating the manual reconciliation step where someone exports a spreadsheet from the funder portal and cross-references it against a calendar. That task tends to own two to four hours a week per grant, and most active labs are managing several simultaneously. We scope the build around the specific funder systems in use rather than building a generic tool that works poorly for everyone.

Two separate problems, usually tackled in order. The pipeline side is about structured capture: a monitoring build that watches SAM.gov for solicitations matching your NAICS codes and incumbent contract profiles, pulls the relevant details into a BD tracker, and flags expirations on contracts where your firm has a plausible incumbent or teaming angle. This replaces the daily manual SAM.gov search and the spreadsheet someone maintains inconsistently. The proposal side is harder and more build-specific. What we can automate is the parts of proposal production that don't require your subject-matter expertise — past performance section drafting from a structured capability library, compliance matrix population from the solicitation's Section L and M, and formatting for the required page limits and font specifications. The parts that require your technical approach and pricing judgment stay with your team. Most BD teams using this combination report getting proposals out faster with fewer all-nighters, not because the AI writes the proposal, but because the mechanical work stops eating the week before submission.

HIPAA compliance is a baseline requirement for any build that touches protected health information, not an add-on. For organizations working with or adjacent to Inova — referral coordinators, outpatient clinic operators, ancillary service vendors — we structure the engagement with a signed Business Associate Agreement before any PHI-adjacent work begins. On the infrastructure side, that means deploying on HIPAA-eligible cloud services (AWS, Azure, and Google Cloud all have BAA-covered service tiers), using model providers with zero-retention, no-training contractual terms for any AI processing of PHI, and scoping data access to the minimum necessary under the Privacy Rule's minimum-necessary standard. We document the data flow and access controls in a format your compliance team can review before go-live. If your organization is also subject to Inova's vendor compliance requirements on top of HIPAA, we factor those in during the audit phase before writing a line of code.

Yes, and the procurement timeline is something we plan around explicitly. Fairfax County follows the Virginia Public Procurement Act, which means competitive sealed bidding or competitive negotiation depending on the contract value, and a public award process that takes time. For county-adjacent organizations — nonprofits under county contract, community service boards, agencies receiving county pass-through funding — the procurement constraint is usually less about the formal VPPA process and more about getting the work scoped clearly enough that it fits within existing contract authority or micro-purchase thresholds. We can help organizations get to a well-scoped statement of work that either fits within existing procurement vehicles or is ready to go through a streamlined competitive process. The $99 audit is a fast way to get a documented, specific scope in hand before the procurement conversation starts.

Start with the $99 AI readiness audit. It's a structured review of your current workflows — where hours are going, where data is getting moved manually between systems, where handoffs break down. For Fairfax organizations, that usually surfaces one or two high-priority candidates pretty quickly: grant reporting overhead for research teams, BD pipeline management for contractors, referral coordination or scheduling friction for healthcare-adjacent operations. The audit output is a written report you can share internally, not a sales deck. From there, if there's a clear first build, we scope it at a fixed price — typically a two-to-four week engagement — and you know the cost before work starts. If the prioritization isn't obvious, a $497 Founder Review Call walks through the audit findings in ninety minutes and produces a written prioritization memo ranking your candidates by ROI and time to deploy. No retainer required until after a build ships and you've decided it's worth maintaining.