AI Agents and Knowledge Bases That Run Inside Your AWS Account. Your Data Never Leaves Your VPC.
Production AI agents and RAG on AWS Bedrock — healthcare, insurance, legal, and public safety
We build for organizations where sending PHI, CJI, or client data to a third-party AI API is not an option. HIPAA- and CJIS-ready architecture from day one.
18 years in HIPAA & CJIS environments · AWS expertise since 2013 · ISO 27001:2022 certified
Why Regulated Organizations Are Stuck on AI
Teams want AI assistants over internal documents, policies, claims files, and case records — but compliance rightly blocks sending PHI, CJI, or client data to public AI APIs. Generic chatbot vendors can't answer "where exactly does our data go?" Meanwhile competitors automate while the AI initiative sits in legal review.
Compliance blocks public APIs
Legal and security teams won't approve sending regulated data to third-party AI services with unclear data handling.
Vendors can't answer the audit question
Generic chatbot platforms can't document data flows, retention, or model training in terms your auditors accept.
PoCs don't survive production scrutiny
Demo chatbots work until accuracy, citations, guardrails, and integration requirements show up in the real environment.
Competitors move while you wait
Every quarter in legal review is a quarter your competitors deploy private AI inside their own infrastructure.
The Architecture That Passes the Audit
AWS Bedrock runs foundation models (Anthropic Claude, Amazon Nova, Meta Llama, and others) inside the AWS ecosystem — prompts and data are not used to train models and can be confined to your own account and region. We deploy within your VPC with PrivateLink, KMS encryption, IAM-scoped access, CloudTrail audit logging, and Bedrock Guardrails — the controls auditors ask about, designed in from day one.
Everything is yours: your AWS account, your code, your IP.
- VPC deployment with PrivateLink — no public internet transit
- KMS encryption at rest, TLS in transit
- IAM-scoped access and CloudTrail audit logging
- Bedrock Guardrails for content filtering and PII handling
- Model choice: Claude, Nova, Llama, Mistral — benchmarked to your requirements
- Full code and IaC transfer — no vendor lock-in
Use Cases We Build
Internal Knowledge Assistants
RAG over policies, SOPs, contracts, clinical guidelines, or case files — with citations to source documents so answers are verifiable, not guessed.
Claims & Document Automation Agents
Intake, classification, extraction, and adjudication support — agents that handle document-heavy workflows without sending data to public AI APIs.
Compliance & Audit Copilots
Query regulations and your own audit trails in plain language. Built for teams that need traceable answers, not black-box responses.
Case & Records Intelligence for Public Safety
CJIS-compliant search and summarization over case records and operational documents — inside your secured environment.
Legacy System + AI Integration
18 years of enterprise Java/.NET fluency connected to modern AI agents. Bridge legacy knowledge to RAG and agents without a full rewrite.
Learn moreHow We Build It
Week 1–2: Architecture & Compliance Design
Data-flow mapping, security review with your compliance team, and written success metrics before any build begins.
Week 3–6: Working Pilot on Your Data
Functioning agent or knowledge base inside your AWS account over a real document set — with testable accuracy evaluation.
Week 7–14: Production Hardening
EHR, claims, or case-management integrations; guardrails; evaluation pipelines; monitoring; load and security testing.
Ongoing: Operate & Improve
Monthly model and prompt updates, accuracy monitoring, new sources, quarterly reviews — via our Managed AI Operations retainer.
Managed AI Operations →Engagement & Pricing
Free 30-min assessment, then fixed-fee architecture engagement
Working agent or knowledge base on your data inside your AWS account
Integrations, guardrails, evaluation pipelines, monitoring, security hardening
Accuracy monitoring, model updates, new sources, quarterly reviews — Managed AI Operations
Final pricing scoped after discovery.
Scope depends on document volume, integration complexity, compliance frameworks, and model requirements. We provide a fixed-fee proposal after the architecture review — no generic quotes.
Frequently Asked Questions
Ready to Deploy Private AI Inside Your AWS Account?
Book a free 30-minute assessment. We'll map your data flows, compliance constraints, and the fastest path to a production agent or knowledge base — inside your VPC.
Book a Free 30-Minute AssessmentNo obligation. No sales pitch. Senior architect on every call.