Agentic AI · Case Study Compliance & regulatory

AI agents for compliance & regulatory readiness.

For a US academic medical center, 10decoders built a suite of AI agents that continuously assess security, HIPAA, and third-party risk — on a zero-copy trusted data layer that keeps sensitive data governed and in place.

Client
US academic medical center
Domain
Healthcare · Compliance
Capability
Agentic AI · Governance
Foundation
Zero-copy trusted data layer
50–70%
Less manual CVE response & triage effort
80%
Faster third-party security reviews
60–80%
Faster HIPAA readiness & audit prep

Trusted by leading enterprises and healthcare teams

Chargeback
Datanuum
Dedalus
Facely
Harris Healthcare
Firetree
ForwardLane
IBM
M2P
Medworks
Merchantrade
Parthenon
Qodex
Shift
SmartBiz
Sojern
UFG
Unknown
UrbanSDK
Zero Gravity
Overview

Compliance visibility, continuous not occasional.

In highly regulated healthcare environments, compliance gaps are often found only during audits or after incidents — increasing audit risk, delaying certifications, and exposing the organization to penalties. Security insights are scattered across many tools, third-party documents take days to review by hand, and unmanaged "Shadow AI" creates blind spots in data usage.

10decoders delivered a suite of AI agents that work continuously — unifying security signals, mapping documents to regulatory controls, reviewing partner agreements, and governing AI usage — all on a zero-copy trusted data layer so sensitive information stays governed and in place.

The Agents

Four agents, one trusted view of risk.

Each agent automates a heavy, manual compliance workflow — surfacing evidence-backed insight and clear next steps.

CVE & Compliance Agent

Unifies security insights from multiple tools onto a single trusted platform. When a new CVE is introduced, it automatically evaluates applicability, impact, coverage, and recovery timelines across the entire environment.

50–70%Less manual CVE response
60–80%Faster remediation

HIPAA Compliance Agent

Analyzes organizational documents against HIPAA Administrative, Physical, and Technical Safeguards — automating control mapping, gap detection, and remediation guidance with human review.

40–60%Less manual review
60–80%Faster readiness

Security Assessment Agent

An automated reviewer that scans partner and vendor documentation to validate data security and compliance, scores risk, and surfaces gaps — enabling faster, more confident trust decisions.

80%Faster reviews
90%Less manual effort

Shadow AI Governance

Continuously discovers, assesses, and governs AI usage across the enterprise — evaluating tools against security, privacy, clinical safety, and ethical standards, and guiding teams to approved alternatives.

40–60%Less unmanaged AI
50–70%Better compliance posture
The Foundation

Agents are only as good as the data beneath them.

Every agent runs on a governed, trusted foundation — so decisions are reliable, real-time, and auditable.

01

Strong data foundations

Accurate, secure, well-structured data enables reliable analytics and a solid base for AI agents and advanced applications.

02

Zero-copy trusted environment

Data is shared and analyzed without duplication — improving security, reducing cost, and keeping teams on real-time, governed data.

03

Scalable agents

Agents automate tasks, adapt to growing workloads, and scale seamlessly as needs evolve — built with a Rapid Agent Builder framework.

How We Engage

From data to decisions, step by step.

A staged path that builds trust into every layer before agents go live — starting with a focused two-week assessment.

1

Discovery

Engage stakeholders, prioritize key tasks, and define assessment scope.

2

Data foundation & QA

Stand up a unified, governed data layer and autonomous QA to validate behaviour.

3

Agent builder & QE

Design and orchestrate agents and RAG pipelines, with continuous quality engineering.

4

Go-live

Trusted, real-time agent decisions in production — reliable and auditable.

Talk to our CTO

Start with a thirty-minute conversation.

No 50-page proposals. We'll tell you which level fits your situation, what a realistic engagement looks like, and what it would cost — in one direct meeting.

Who you'll talk to
Thomas, CTO at 10decoders

Thomas

Chief Technology Officer

Connect on LinkedIn

Thomas leads 10decoders' AI engineering practice and sits in on the scoping call himself — so the person mapping your engagement is the one who has shipped it before. His teams build and deploy agents for mid-market healthcare and fintech companies, with enterprise grade build experience for clients like IBM, Dedalus and Harris Healthcare. He'll be straight with you about what's worth doing and what isn't.

200+
Engineers
37+
Global Clients
ISO
27001 / 9001

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