AI & Data
ALINEDS builds secure, governed AI and data systems for government and regulated organizations. We design generative AI and RAG solutions, autonomous multi-agent systems, AI workflow and document automation, and the data engineering that makes them reliable - engineered to NIST-, FedRAMP-, and GovRAMP-aligned standards so public-sector teams can adopt AI without compromising security, compliance, or public trust.
What you get
AI you can actually deploy
Generative AI, RAG, and agents built with the security, governance, and human oversight that let government and regulated teams put them into production, not just pilot them.
Grounded, auditable answers
AI that draws on your own verified data and cites its sources, so results are accurate and traceable instead of confident guesses.
Governed from day one
Controls, documentation, and monitoring mapped to the NIST AI Risk Management Framework, so AI adoption comes with accountability, not unmanaged risk.
A trustworthy data foundation
Clean, governed, AI-ready data pipelines underneath it all, so what you build on top produces reliable results.
Why it matters
Government and regulated organizations don't need AI hype - they need AI they can defend. That means systems grounded in their own data, governed against real frameworks, and built on a clean data foundation. ALINEDS brings those pieces together - including a growing library of deployment-ready agent MVPs for public agencies - so AI becomes a dependable capability, not a risky experiment.
Four ways we deliver AI & Data
AI Agents & Automation
AI agents go beyond answering questions - they carry out multi-step work: reading documents, pulling from systems, drafting outputs, and routing them for approval. ALINEDS designs autonomous multi-agent systems and AI-driven workflow and document automation for the high-volume, rules-heavy processes that slow government and regulated organizations down. Every agent runs inside human-in-the-loop checkpoints with full audit trails, so autonomy never means loss of control. Our in-production system, Hermes, automates end-to-end RFP response - and beyond it we've built a library of deployment-ready MVP agents for public agencies across education, public health, government services, transit, and utilities.
AI Governance, Security & Compliance
AI adoption fails audits - and public trust - when no one can show how a system decides, what data it touched, or who's accountable. ALINEDS helps government and regulated organizations govern AI end to end: risk assessment, security controls, human oversight, and compliance mapped to the NIST AI Risk Management Framework. We put the guardrails, documentation, and monitoring around your AI so you can deploy it confidently, prove it's under control, and keep it that way as models and regulations change.
Data & Analytics Engineering
AI is only as good as the data behind it - and most AI initiatives stall on data quality, not the model. ALINEDS builds the analytics and data-engineering foundation that makes AI reliable: clean, governed, well-modeled pipelines that feed generative AI, agents, and analytics. Using Snowflake, Azure Data Factory, and modern ETL/ELT, we turn scattered government data into an AI-ready foundation - with lineage, quality checks, and access controls built in - so what you build on top produces accurate, trustworthy results instead of confident nonsense.
Generative AI & LLM Solutions (RAG)
Generative AI and large language models can draft, summarize, search, and answer in seconds - but a model left on its own invents facts and can't show its work. ALINEDS builds retrieval-augmented generation (RAG) systems that ground every response in your own verified documents, return a citation for each answer, enforce role-based access to sensitive content, and can run in a private, data-resident environment. For government and regulated organizations, that turns generative AI from a liability into an accurate, auditable tool your teams can actually deploy.
Our approach
Assess
Inventory AI use and risk, and map the data and systems it touches.
Secure
Design controls, data residency, and access your reviewers accept.
Govern
Put policy, oversight, and audit-ready reporting around AI use.
Operate
Run, monitor, and improve AI in production with human oversight.
Where it fits
Deploy a secure, cited AI assistant on your own policies and records
Generative AI & LLM Solutions (RAG)
Automate a high-volume document process with governed agents
AI Agents & Automation
Put governance and controls in place before you adopt AI
AI Governance, Security & Compliance
Build the clean, AI-ready data foundation underneath it all
Data & Analytics Engineering
Compliance
Engineered to the standards public-sector buyers require
ALINEDS builds AI and data systems against NIST 800-53 Rev.5, NIST 800-171, and the NIST Cybersecurity Framework, with FedRAMP- and GovRAMP-aligned delivery and HIPAA, FERPA, PCI-DSS, and GDPR controls where the data requires them. The NIST AI Risk Management Framework is our alignment target for AI governance - a framework we design to, not a certification we hold.
- NIST AI RMF
- NIST 800-53
- NIST CSF 2.0
- FedRAMP
- GovRAMP
- HIPAA
- FERPA
Key terms
- Retrieval-Augmented Generation (RAG)
- Grounding an AI model's answers in your own verified data so responses are accurate and cite a source.
- AI governance
- The policies, roles, and controls that keep AI use accountable, secure, and compliant.
- AI agent
- An AI system that carries out multi-step tasks toward a goal, not just single answers.
Proof
in-production system automating end-to-end RFP response
Source: ALINEDS
Frequently asked
Is AI secure and compliant enough for government use?
Yes, when it's engineered for it. ALINEDS builds AI on secure, access-controlled foundations with audit logging, private deployment options, and human oversight, aligned to NIST 800-53, NIST AI RMF, FedRAMP, and GovRAMP standards - so agencies get AI's benefits without exposing sensitive data or losing accountability.
How do you keep our data from leaking into public models?
We design private, data-resident deployments where your prompts and documents stay in your environment and are never used to train public models. Retrieval is grounded in your own content with role-based access, encryption in transit and at rest, and full audit logging.
Do we need our data "ready" before adopting AI?
Often, yes - most AI initiatives stall on data quality, not the model. Our Data & Analytics Engineering work builds clean, governed, AI-ready pipelines first, so generative AI and agents produce accurate, trustworthy results. We can assess your data readiness as a starting point.
How do we buy ALINEDS AI services through a cooperative contract?
ALINEDS AI & Data services are available through cooperative vehicles including TXShare (MSA 2025-018) and NCTCOG (MSA 2025-017), which let eligible public-sector entities contract without a separate competitive procurement. Contact us and we'll map the right vehicle for your organization.