Solutions
Federal, state, and local agencies engage us to move AI from pilot to accredited operation under FedRAMP, StateRAMP, CJIS, and NIST AI RMF constraints. Our pre-vetted bench of US-based consultants embeds with your teams and delivers within your security perimeter, not around it.
Talk to our teamWhat we deliver
Structured evaluation of your data, infrastructure, and authorization posture against NIST AI RMF, FedRAMP, and StateRAMP requirements before any build begins. You receive a prioritized roadmap tied to your ATO boundary.
Retrieval-augmented generation and LLM systems architected for government data classifications, deployed in FedRAMP-authorized cloud environments with full audit and provenance controls.
Production agent systems for case processing, benefits adjudication support, records management, and citizen-service triage — with human-in-the-loop controls documented for oversight bodies.
We translate the NIST AI Risk Management Framework into working policy: model inventories, impact assessments, continuous monitoring, and documentation your inspectors general and auditors can act on.
Incremental modernization of case-management and records systems that introduces AI capability without destabilizing systems of record or breaking existing accreditations.
Pre-vetted, US-based AI engineers and architects who extend your program office or systems integrator team under your direction, on your timeline, inside your compliance boundary.
Our approach
Government agencies are under a mandate to adopt AI and an equal mandate to do it safely. Executive direction, state AI task forces, and agency-level policies now require documented risk management, and procurement offices increasingly ask vendors to demonstrate NIST AI RMF alignment before award. The gap is execution capacity: most agencies do not have AI engineers on staff who can build inside a FedRAMP boundary, and most commercial AI vendors do not understand what an authorization boundary is.
Gain America closes that gap. Since 2006, we have delivered more than 1000 enterprise projects by placing pre-vetted, US-based consultants directly into client delivery teams. For public-sector clients, that means engineers who treat CJIS data handling, impact levels, and continuous-monitoring obligations as design inputs — not afterthoughts discovered at assessment time.
The public-sector failure pattern is consistent. A pilot succeeds in a sandbox, then dies at the security review because the architecture assumed commercial cloud services with no path to authorization. Or a governance document is produced but never operationalized, so the program cannot answer basic auditor questions about model inventory and data lineage. We examine these patterns in depth in our analysis of why enterprise AI pilots fail and our field guide to government AI deployment.
The remedy is to make compliance the first architectural constraint, not the last review gate. That is why every Gain America government engagement begins with the authorization question: which boundary will this system live in, what data classifications will it touch, and what evidence will the authorizing official need. Our practical guidance on FedRAMP AI compliance and StateRAMP and GovRAMP requirements reflects how we scope this in real engagements.
We run every government engagement through the GainAm Method — Assess, Architect, Embed, Operate.
Assess. We evaluate your data estate, infrastructure, and authorization posture against NIST AI RMF and your applicable baseline — FedRAMP Moderate or High, StateRAMP, CJIS. The output is a prioritized roadmap with compliance evidence requirements mapped to each initiative.
Architect. We design the target system for your boundary: model selection compatible with authorized services, retrieval and data pipelines that respect classification, and human-in-the-loop controls documented for oversight. For agencies buying through formal channels, our government AI procurement guide outlines how to structure requirements so vendors can actually meet them.
Embed. Our consultants join your teams — program office, prime contractor, or agency IT — and build alongside your staff. Knowledge transfer is a deliverable, not a closing slide.
Operate. We stand up monitoring, evaluation, and model-governance routines that survive the transition to your operations team, so the system remains compliant after we leave.
Agencies choose boutique depth over generalist scale for a reason: the engineers who show up are the engineers who deliver. Gain America has operated on that model since 2006 — 15+ years, headquartered in Hicksville, New York, with 85% of our business coming from repeat clients and referrals and client attrition below 0.05%. We do not resell platforms, and we do not staff engagements with trainees. We field US-based consultants who have shipped production AI systems and can defend their architecture in front of your security team.
If your agency is moving from AI policy to AI production, talk to our team. Consultants with public-sector AI experience who want to work on accredited, production systems can explore joining our bench.
Questions
Yes. Our consultants deliver inside your accredited environments — FedRAMP-authorized cloud services, GovCloud regions, and agency-managed enclaves. We architect to your existing ATO boundary rather than introducing tooling that expands it. See our guidance on FedRAMP AI compliance for how we approach boundary decisions.
All consultants we place on government engagements are US-based and screened for public-sector readiness. Where an agency requires specific background investigations or CJIS clearance processes, we align candidates to those requirements during selection rather than after placement.
We use NIST AI RMF as the working spine of every government engagement: Map functions during assessment, Measure and Manage during build and operation, and Govern through documentation your oversight bodies can audit. Deliverables include model inventories, impact assessments, and monitoring plans — not framework summaries.
Yes. Agencies frequently engage us to supply specialized AI engineering capacity that a prime or incumbent integrator does not carry. We integrate into existing program structures, reporting lines, and delivery cadences.
Because we maintain a pre-vetted bench of US-based consultants, we typically present qualified candidates within days of scoping. Start timing then depends on your onboarding, badging, and access-provisioning requirements, which we plan for in the engagement schedule.
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Gain America staffs and deploys the teams behind enterprise and public-sector AI — delivering since 2006.
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