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8(A) FEDERAL AI SERVICES

8(a) Federal AI Services — Generative AI, Agentic AI & Responsible AI

Alliance Global Tech delivers production federal AI on FedRAMP-aligned infrastructure — Azure Government, AWS GovCloud, and Azure OpenAI Government. Our NIST AI RMF and OMB M-24-10 aligned AI practice ships Generative AI, Agentic AI, and predictive ML systems with the governance, transparency, and auditability federal authorizing officials require. DocuAction in production since April 2026.

Schedule a Discovery Call → Download Capability Statement
8(a) Sole-Source Eligible Direct award up to $4.5M No competitive procurement required
Federal AI services dashboard showing Responsible AI model evaluation on Azure Government
01 / OVERVIEW

Mission-Grade Federal AI Requires More Than a Commercial Model

Federal AI cannot be a black box. Every model must be explainable, every output auditable, every training dataset traceable, and every deployment compliant with FedRAMP, FISMA, NIST AI RMF, OMB M-24-10, and Executive Order 14110. Commercial GenAI offerings — built for marketing teams and consumer apps — were never designed for these constraints.

AGT bridges that gap with federal AI services purpose-built for mission constraints. We deliver production AI on FedRAMP-aligned infrastructure with documented model evaluation, prompt and output logging, human-in-the-loop checkpoints, and Responsible AI controls. Built on our cloud platform and data lakehouse foundations, governed by our cybersecurity practice.

By the Numbers
100+
AI, ML, RAG, and Agentic pipelines designed across federal and enterprise workloads
DocuAction
production GenAI SaaS built, deployed, and operated by AGT (April 2026)
NIST AI RMF
Responsible AI governance mapped into every model engagement
FedRAMP High
reference architectures for Azure OpenAI Government and AWS Bedrock
02 / CAPABILITIES
WHAT WE DELIVER

End-to-End Federal AI Services From Strategy to Production

Whether you are evaluating your first GenAI pilot or operationalizing dozens of models, our federal AI services cover the entire AI lifecycle on FedRAMP-aligned infrastructure.

Generative AI & RAG on Azure OpenAI Government

Production Retrieval-Augmented Generation is one of our most-requested federal AI services. Built on Azure OpenAI Government, AWS Bedrock, and Anthropic Claude. Vector stores, embedding pipelines, prompt engineering, and citation-grounded outputs your end users and IGs can trust.

Agentic AI Systems (AgentForge™)

Multi-agent architectures that plan, act, and verify across federal workflows — document processing, eligibility determination, fraud triage, FOIA response, and IT service desk automation — with human checkpoints at every critical decision point.

MLOps on Azure ML and Databricks

End-to-end MLOps — model registry, CI/CD for models, drift detection, automated retraining, A/B deployment, and full observability mapped to NIST 800-53 control families on Azure ML, AWS SageMaker, and Databricks.

Responsible AI Governance & OMB M-24-10

Our Responsible AI federal AI services include risk assessments, model cards, datasheets, bias and fairness testing, red-teaming, and AI Use Case inventories aligned to OMB M-24-10. We make your agency CAIO and IG comfortable with what you deploy.

Document Intelligence (DocuAction Platform)

Production document AI for forms, claims, contracts, and unstructured records. DocuAction combines OCR, layout understanding, LLM extraction, and human review in workflows designed for federal volume — built and operated by AGT.

AI Data Engineering & Vector Platforms

The unglamorous foundation of any federal AI services engagement — pipelines, feature stores, vector databases (pgvector, Azure AI Search, Pinecone), synthetic data, and Lakehouse architectures tuned for AI consumption.

03 / METHODOLOGY
OUR METHODOLOGY

AgentForge™ — Five-Phase Federal AI Delivery Framework

AGT AgentForge™

Refined through AGT’s own production DocuAction platform launch and our VA Agentic AI RFI architecture work, AgentForge structures our federal AI services to de-risk adoption by classifying use cases under NIST AI RMF before a single line of code is written.

  1. Discover

    Use-case identification, value sizing, data feasibility, and AI risk classification under NIST AI RMF and EO 14110 categories.

  2. Design

    Model selection, architecture (RAG, fine-tune, agent), data flow, security boundary, and Responsible AI controls with human-in-the-loop checkpoints.

  3. Prototype

    Time-boxed pilot in a sandbox enclave. Evaluation harness with mission-relevant metrics. Demonstrate value or kill the use case early.

  4. Productionize

    Move to FedRAMP-aligned environment, complete ATO appendix, integrate with mission systems, stand up MLOps observability.

  5. Govern

    Ongoing model monitoring, drift detection, periodic re-evaluation, AI Use Case inventory updates, and Responsible AI audit support.

04 / PAST PERFORMANCE
PROVEN AT FEDERAL SCALE

AI Delivery Already in Production

AGT’s federal AI services are not based on demos. We have built, deployed, and operated a production GenAI platform — and we bring those operational instincts to every federal AI services engagement.

AGT Product

DocuAction — Production GenAI Platform

Our flagship federal AI services product DocuAction was designed, built, and is operated by AGT — an enterprise document intelligence SaaS combining GPT-4o and Claude with custom OCR pipelines on FastAPI and PostgreSQL. Live in production since April 2026 with 7-table schema, audio transcription, and enterprise feature tiers.

Result
Working production GenAI platform built end-to-end by AGT — not a demo or vapor.
CMS / CPI

Healthcare Fraud ML at Scale

10+ years on CMS OnePI and OPIDS supporting the Center for Program Integrity, including advanced analytics and ML-driven fraud detection over claims data in an AWS environment serving 1,000+ fraud investigators nationwide.

Result
Continuous ML-powered analytics delivery supporting fraud investigations across all 50 states.
VA / HHS

Agentic AI RFI & ONC TEFCA Response

AGT responded to the VA Agentic AI SaaS RFI (VA-25-00104844) with a full Agentic architecture proposal, and produced the HHS ONC TEFCA compliance review for federal health information exchange — both anchored in Responsible AI controls.

Result
Recognized AI architectural depth across VA, Treasury OIG, and HHS ONC.
05 / WHY AGT
WHY ALLIANCE GLOBAL TECH

AI Architected by an Azure Solutions Architect Expert — Audited Like a Federal Program

Our federal AI services practice is led by senior architects with Azure Solutions Architect Expert and PMP credentials, backed by 15+ years of federal healthcare and defense data experience. We do not improvise federal AI services. We engineer them.

01

Production AI, Not Demos

DocuAction is a live GenAI product we built and operate — proof that our federal AI services run in production, daily.

02

Responsible AI by Default

Every federal AI services engagement includes NIST AI RMF mapping, model cards, bias testing, and human-in-the-loop design. No governance theater.

03

FedRAMP-Aligned Day One

Azure Government, AWS GovCloud, and OpenAI Government reference architectures with ATO appendix templates ready to use.

04

Easy Federal Contract Vehicles

8(a) sole-source up to $4.5M. GSA MAS 47QTCA21D003M (SIN 54151S). SeaPort NxG. Maryland Master Contractor. Your CO can award AGT directly — no competitive procurement required.

Certifications & Accreditations
CMMI Level 3
Appraised
ISO 27001:2013
InfoSec
ISO 9001:2015
Quality
ISO 20000-1
Service Mgmt
SBA 8(a)
Certified
DoD FCL
Facility Clearance
Contract Vehicles
8(a)Sole-source direct award up to $4.5M
GSA MAS47QTCA21D003M · SIN 54151S · 54151HACS
SeaPort NxGNavy multiple-award IDIQ
MDOT MBEMaryland Master Contractor
06 / TOOLS & STANDARDS
TOOLING AND STANDARDS

AI Platforms, Models, and Tools We Standardize On

Pragmatic, vendor-aware choices grounded in what is FedRAMP-aligned and operationally proven.

Foundation Models
Azure OpenAI Gov Anthropic Claude Amazon Bedrock Llama 3 / 4 Mistral GPT-4o
MLOps Platforms
Azure Machine Learning AWS SageMaker Databricks Microsoft Fabric MLflow Weights & Biases
Vector & Retrieval
Azure AI Search Pinecone Weaviate pgvector OpenSearch Qdrant
Agent Frameworks
LangChain LangGraph LlamaIndex Semantic Kernel AutoGen Anthropic Tools
Responsible AI
NIST AI RMF MS Responsible AI Dashboard AWS Clarify Evidently AI LangSmith
07 / RESOURCES
FEDERAL IT RESOURCES

Resources & Downloads

For federal contracting officers, agency CIOs, and program managers evaluating AGT.

PDF · 2 PAGES

Capability Statement

Agency-ready overview with past performance, CAGE, UEI, and contract vehicles.

Download
WHITE PAPER

Artificial Intelligence Reference Architecture

Technical deep-dive with reference architecture, NIST control mapping, and implementation patterns.

Download
QUICK GUIDE

8(a) Sole-Source Procurement

What contracting officers need to award AGT directly. Process, ceiling, timing.

Download
SUMMARY

Past Performance Index

CMS, Navy, IRS, Treasury, USPTO references and contract data points.

Download

Ready to Move From AI Pilot to Production?

Schedule a 30-minute federal AI services strategy conversation. We will identify the two or three highest-value AI use cases in your portfolio and the FedRAMP-aligned path to deploy them in six months.

Schedule a Discovery Call → Email sales@agtbi.com

Average response time · 4 business hours · Discovery calls are no-cost & no-obligation

08 / FAQ
FREQUENTLY ASKED

Artificial Intelligence — Common Questions

Common questions from federal contracting officers and agency CIOs about AGT’s artificial intelligence services.

Do you have a FedRAMP-authorized AI offering?
AGT delivers AI on top of FedRAMP-authorized infrastructure (Azure Government, AWS GovCloud, Azure OpenAI Government). Our reference architectures, ATO appendices, and Responsible AI documentation attach cleanly to your agency’s existing ATO package — we do not require you to inherit a new authorization boundary.
How do you ensure compliance with OMB M-24-10?
Every AGT AI engagement begins with an AI Use Case classification under OMB M-24-10 categories (safety-impacting, rights-impacting, or general). We build the required impact assessments, AI Use Case inventory entries, and human-in-the-loop checkpoints required for rights/safety-impacting use cases. Output: documentation ready for your CAIO submission.
Can you build AI on classified or IL5 environments?
Yes. Our cleared engineers (Public Trust and Secret) have delivered into DoD environments including Air Force, Navy, Army, and Space Force engagements. We design for IL2/IL4/IL5 boundaries with appropriate model selection and data handling.
How do you handle hallucinations for federal use cases?
Every AGT GenAI deployment uses Retrieval-Augmented Generation with citation grounding, structured output validation, and human-in-the-loop review for any decision affecting an individual citizen or service member. We log all prompts, outputs, and source documents for full auditability.
Do you do model fine-tuning or only RAG?
Both. We start with RAG because it is faster, cheaper, and more auditable. We move to LoRA or full fine-tuning only when the use case demands it — typically domain-specific extraction, classification, or style adaptation on a proprietary corpus where RAG cannot meet accuracy targets.
What is DocuAction and is it available to federal agencies?
DocuAction is AGT’s production GenAI document intelligence SaaS — a working example of our AI capabilities. We can deploy DocuAction as a SaaS offering or build agency-specific document intelligence on the same underlying patterns inside your authorization boundary using 8(a) sole-source.
How do you measure AI success beyond accuracy?
Federal AI is judged on mission outcomes, not benchmark scores. Our evaluation harness tracks accuracy and four additional dimensions: explainability (can a human trace any decision), fairness (bias across protected classes), robustness (performance under adversarial input), and operational cost (per-decision cost in production). All five are reported in monthly model health reviews.
What is the typical AGT AI engagement size?
From $250K proof-of-concept engagements (8-12 weeks) through $5M+ multi-year production AI programs. Sweet spot is $500K-$3M for use-case-specific AI builds. 8(a) sole-source up to $4.5M is the fastest path to award for time-sensitive AI work.
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