Mission-Trusted AI | KSApex LLC

The Federal Challenge

Agencies Don't Have an AI Problem.
They Have an AI Trust Problem.

“The question a CIO gets asked is never whether the AI works. It is whether anyone can show how it decided, who reviewed it, and what policy it followed.”

Current OMB guidance requires agencies to inventory their AI use cases, designate high-impact AI, and apply minimum risk management practices before that AI influences decisions: pre-deployment testing, impact assessments, ongoing monitoring, and human oversight. Most AI pilots were never built to produce that evidence.

AI use-case inventories incomplete, with unapproved tools already in use
High-impact AI running without documented testing or impact assessments
No record of which model, version, and policy produced a given output
Human review promised in policy but not enforced in the workflow
Vendor AI that cannot be audited, swapped, or switched off cleanly

High-Impact AI Has Minimum Practices Now

OMB M-25-21 sets minimum risk management practices for high-impact AI, including pre-deployment testing, AI impact assessments, ongoing monitoring, and human oversight. KSApex builds those practices into the delivery, so the evidence exists on day one.

Shadow AI Is Already in the Building

Staff are using AI tools whether or not the agency has sanctioned them. Governing AI starts with seeing all of it, then putting every sanctioned use behind one policy layer. That is what AEGIS does without replacing the AI an agency already has.

What We Deliver

Six Integrated AI Services.
One Governance Layer.

Every AI service KSApex delivers runs inside the same governance boundary, so an agency never has to choose between moving fast and staying accountable.

01 · AEGIS

AEGIS AI Governance Platform

KSApex's patent-pending governance platform. Policy enforcement on every AI output, enforced human review for high-stakes decisions, auditable decision records, and a model registry that tracks every model and version against agency policy. Model-agnostic and bring-your-own-LLM.

Patent pending · Deploys in days · No platform rebuild

02 · Automation

Intelligent Automation

Workflow automation, intelligent document processing, and automated ETL and executive reporting that remove manual effort from mission and back-office processes while keeping a human accountable for the result.

Proven: NPS AFS , automated ETL pipelines and executive budget reporting

03 · Analytics

Machine Learning & Decision Support

Classification, anomaly detection, and predictive analytics integrated into existing federal platforms, with every model logged, versioned, and reviewable before its output reaches a decision.

Delivered as governed services, never as black boxes

04 · LLM & RAG

Language Models Grounded in Agency Knowledge

Retrieval-grounded assistants built on the agency's own approved content, running inside the governance boundary. Answers cite their sources, and prompts and outputs are retained for review.

Any approved model · Agency data stays in the agency boundary

05 · Inventory

AI Use-Case Inventory & Policy Alignment

AI use-case inventories, high-impact determinations, compliance plans, and policy mapping aligned to OMB M-25-21 and the NIST AI RMF. You cannot govern what you cannot see, so this is where every engagement starts.

Policy: OMB M-25-21 · NIST AI RMF · EO 14179

06 · Advisory

Model Selection & AI Procurement Advisory

Independent model vetting and procurement support. KSApex applies a domestic-sourcing standard to every product it represents: developed in the United States and owned by a United States company through its whole ownership history.

Standard: U.S.-developed, U.S.-owned models only

Our Approach

Govern First.
Then Automate.

“We are not competing with your AI. We govern it.”

KSApex sequences every AI engagement so the governance baseline exists before the first model is deployed. The result is AI that passes review the first time, because the evidence was produced as the work was done.

1

Mission & Use-Case Definition

We start with the decision the AI will inform, who is accountable for it, and what the agency must be able to prove afterwards. Each use case is inventoried and classified, including a high-impact determination under current OMB guidance.

Use-Case InventoryHigh-Impact DeterminationAccountable Owner

2

Governance Baseline

Policies, risk tier, and human-review points are defined in AEGIS before any model runs. This is the minimum risk management practice set for high-impact AI, written down and enforceable.

Policy DefinitionRisk TierHuman Review Points

3

Model Selection & Registry

Approved models and versions are registered against policy. Agencies can enable, disable, or swap models without rebuilding the application. Foreign-owned and unapproved models never enter the registry.

Model RegistryVersion TrackingDomestic Sourcing

4

Build Inside the Boundary

Automation, analytics, and language-model features are built so that every output passes through the governance layer. Section 508 is applied to every AI-driven interface from the first sprint.

Governed OutputsSection 508Agile Delivery

5

Monitor, Audit, Improve

Ongoing monitoring, auditable decision records, and periodic impact reassessment keep the AI inside policy as models, data, and guidance change.

Ongoing MonitoringDecision RecordsReassessment

Past Performance

Automation and Analytics
Already in Federal Production.

DOI · National Park Service ★ Outstanding CPARS

Automated Reporting for a 6,500-User Platform

Civilian · Prime · 140P2123F0030/0072

Automated ETL pipelines and executive budget reporting through Oracle Analytics Publisher for the AFS platform serving 6,500+ users across 500+ parks and offices. Reporting that once took manual effort now runs on a governed, repeatable pipeline.

Automated ETL and executive reporting
6,500+ users, 500+ parks and offices
Section 508 on every report and dashboard
Option years exercised

U.S. Army Reserve · ARCG ★ 99.9% Uptime

Secure Personnel Search & Data Reports

DoD · Prime · W91247-24-F-0479

Mission-critical personnel search platform supporting the readiness of 250,000+ soldiers, with MFA, 300 secure user accounts, and encrypted bulk data reports delivered on a fixed cadence. Data-driven search and reporting with full accountability for every record.

MFA across 300 secure user accounts
Encrypted bulk data reports
99.9%+ uptime, zero service outages
Multiple option periods exercised

HHS · ASPE Section 508 + ATO

REMIS , Intelligent Data Processing

Healthcare · Subcontract · REMIS Modernization

Research and evaluation data processing and dynamic dashboards for HHS, aligned to HHS cybersecurity requirements and the Enterprise Performance Life Cycle, with Section 508 applied throughout.

Dynamic dashboards with full audit visibility
HHS cybersecurity requirements met
ATO delivered within project timeline
Section 508 and ADA throughout

Compliance Coverage

Current Policy.
Not Last Year's.

OMB M-25-21

Accelerating Federal Use of AI through Innovation, Governance, and Public Trust

Use-case inventories, high-impact determinations, compliance plans, and minimum risk management practices.

Aligned

NIST AI RMF

AI Risk Management Framework

Govern, Map, Measure, Manage functions applied to every AI engagement and to the AEGIS platform itself.

Aligned

EO 14179

Removing Barriers to American Leadership in AI

Delivery aligned to current executive direction on federal AI; prior guidance under EO 14179 is treated as superseded.

Aligned

Section 508

Accessible AI Interfaces

Every AI-driven interface, report, and dashboard built to Section 508 and WCAG 2.1 AA from the first sprint.

Active Capability

FISMA · NIST 800-53

Federal Information Security

AI systems delivered inside the agency's authorization boundary with the same control baseline as any other federal system.

Active Capability

CUI Handling

NIST SP 800-171

Controlled Unclassified Information kept inside the agency boundary; no agency data used to train external models.

Active Capability

Related Capabilities

Mission-Trusted
AI.

Agencies Don't Have an AI Problem.
They Have an AI Trust Problem.

Six Integrated AI Services.
One Governance Layer.

Govern First.
Then Automate.

Automation and Analytics
Already in Federal Production.

Current Policy.
Not Last Year's.

AI Works Best
When Everything Connects.

Mission-TrustedAI.

Agencies Don't Have an AI Problem.They Have an AI Trust Problem.

Six Integrated AI Services.One Governance Layer.

Govern First.Then Automate.

Automation and AnalyticsAlready in Federal Production.

Current Policy.Not Last Year's.

AI Works BestWhen Everything Connects.

Mission-Trusted
AI.

Agencies Don't Have an AI Problem.
They Have an AI Trust Problem.

Six Integrated AI Services.
One Governance Layer.

Govern First.
Then Automate.

Automation and Analytics
Already in Federal Production.

Current Policy.
Not Last Year's.

AI Works Best
When Everything Connects.