Govern the AI Workers you build, buy, or deploy — with customer-controlled identity, authority, human oversight, and evidence.

AI governance by industry

Govern AI Workers for the environment where they will operate.

Choose an industry context to identify the accountable owners, sensitive-data boundaries, review points, and evidence that should shape the AI Worker plan.

Choose the operating context

Where will the AI Worker operate?

Start with the environment that most directly shapes the data, decision consequence, reviewer, and evidence boundary.

Healthcare & Life Sciences

Patient access, care coordination, documentation, claims, research, and knowledge workflows.

Review first: PHI, professional judgment, escalation, evidence, and human decision rights.

Explore Healthcare

Financial Services

Risk operations, evidence preparation, customer service, reporting, fraud triage, and workflow review.

Review first: customer impact, model risk, fair-lending considerations, decision ownership, monitoring, and exceptions.

Defense & Government

CMMC and NIST 800-171-informed evidence readiness, secure workflow review, and public accountability.

Review first: FCI, CUI, Human Review, Passport scope, Toll Gates, Stamps, and evidence-package expectations.

Explore Defense & Government

Public Sector

Intake, records, policy analysis, grants, permitting, constituent service, and public-program operations.

Review first: transparency, accessibility, retention, decision rights, escalation, and auditability.

Contact Center

Agent assist, summarization, routing, knowledge retrieval, quality review, and service recovery.

Review first: approved sources, transcript handling, customer impact, prohibited actions, and escalation.

Technology

Product, platform, developer, security, release, automation, and customer-support workflows.

Review first: API and MCP boundaries, connectors, secrets, change control, observability, and retirement.

Manufacturing & Supply Chain

Quality, maintenance, suppliers, field service, safety preparation, and operational handoffs.

Review first: operational and safety risk, escalation, data lineage, vendor evidence, and human authorization.

These pages are planning aids. They do not approve production use, legal conclusions, compliance conclusions, security authorization, live integrations, or autonomous approvals.

Recommended path

Turn the industry context into a governed AI Worker Blueprint.

Capture the workflow, owner, sensitive-data boundary, decision consequence, prohibited actions, reviewers, evidence needs, and next customer-managed decision in one reviewable starting record.

Production-hosted Version 1 - This preview does not by itself enable customer data, connectors, or production enforcement.