AI Marketing Technology for Government

Services

RC Strategies brings secure, governed AI into a government program's marketing, communications, and recruiting work. Predictive scoring, data analysis, and automated engagement run in network-isolated environments under the agency's own AI policy, and a person approves what reaches the public.

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trusted services

how we serve your mission

AI strategy and governance

RC Strategies builds the use-case inventory, completes impact assessments with the program, and sets risk-tiered human review, with documentation aligned to OMB M-25-21 and the NIST AI Risk Management Framework.

Secure, isolated environments

AI operates on dedicated, network-isolated servers with no public internet access, provisioned and hardened for the program, access-controlled, and continuously monitored.

Data minimization and ownership

Only the data a task needs is used, under the agency's explicit instruction. Agency data never trains public models, and any model built on it belongs to the agency.

Predictive scoring and analysis

GuardPaths PRISM AI scores recruiting prospects by readiness, and audience, market, and performance analysis show where the program's effort will pay off.

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Automated, personalized engagement

Follow-up, scheduling, and outreach run at scale, personalized to each person's interests, with human approval wherever the risk calls for it.

Audit trail and mission reporting

Every review and automated action is logged. Reporting shows what AI changed for the mission, from applicants and enlistments to response times.

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proven processes

Service delivery that high-trust organizations rely on

Assess and inventory

Find where AI can move the mission and record each use case.

Govern and design

Complete impact assessments, set review tiers, and define what automation may do on its own.

Build in isolated environments

Stand up the environment, connect only the data each use needs, and test before launch.

Deploy with human review

Launch with risk-based approval and a full audit trail.

Monitor and report

Watch performance, retest on schedule, and report results against the mission.

outcomes we deliver

What this capability drives

Georgia Army National Guard

Army National Guard Recruiting Marketing Case Study: +565% Lead Growth

$24.26

cost per qualified lead

2,300+

qualified leads in 9 months

+565%

growth in digital recruiting lead generation

Read the Case Study

Why RC Strategies

Trusted Marketing & AI MarTech Experts for Critical Missions

We deliver trusted, federally proven high performance marketing, strategic communications, and AI marketing technology with measurable ROI for the federal government and the Department of Defense/Department of War.

Our systems give clarity and confidence to program leaders and senior leadership who need to see ROI and mission outcomes, not just activity.

Trusted by the DoD/DoW as one of the top military recruiting marketing contractors

Federally proven past performance with NAVSEA, the National Guard, and the Department of Veterans Affairs

Integrity and precision that make working with us predictable, from a team that runs toward fires

Frequently Asked Questions

What clients ask before we start

What is AI marketing technology for government?

AI marketing technology for government applies predictive scoring, data analysis, and automated engagement to a program's recruiting, outreach, and communications, under the agency's security and AI policy. RC Strategies designs, runs, and governs it, from the use-case inventory to the audit trail. RC Strategies delivers two state ARNG RRB programs: the Georgia Army National Guard and the Arkansas Army National Guard.

How does RC Strategies comply with agency AI policy?

RC Strategies documents each use case for the agency's inventory, completes the impact assessment with the program, and applies the minimum risk practices OMB M-25-21 sets for high-impact AI, including testing before deployment. Controls follow the NIST AI Risk Management Framework's govern, map, measure, and manage functions, so approval rests on documentation.

Where does agency data live, and who owns the models?

Agency data stays in dedicated, network-isolated environments with no public internet access that RC Strategies provisions, hardens, controls, and monitors. RC Strategies doesn't build large language models and never trains public models on agency data. Any model it builds on agency data, such as a lead score model, belongs to the agency.

How does human review work with AI automation?

RC Strategies scores each use case by how directly it reaches the public and how much human oversight it has, an approach McKinsey describes, and sets review to match. High-impact actions always need a person's approval, and automation escalates to a reviewer when it hits uncertainty. Every review is recorded in a full audit trail.

How do you test AI for false outputs and bias?

Before launch and on a schedule after, RC Strategies tests each use case for the risks named in NIST's generative AI profile, including fabricated or inaccurate outputs, harmful bias, and data privacy exposure. Findings and fixes are documented for the agency's review.

What happens when an AI system gets something wrong?

RC Strategies follows a documented incident plan. Monitoring flags unusual behavior, the automation is paused or overridden, and the task returns to the manual process. A named owner leads the root-cause review and the fix, and the agency receives a written account of what happened and what changed.

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