AI governance by industry
Industry context changes the risk posture, evidence expectations, stakeholder model, data boundaries, and implementation path. Use this lens before opening the resources or requesting advisor support.
Use this page to choose the industry context before selecting templates, workbooks, or advisor support. The industry lens helps teams identify the operating environment, sensitive-data posture, evidence expectations, human review needs, and public-safe planning boundaries that should shape a future Blueprint or Passport review.
Industry lenses
Each industry lens should clarify operating constraints, human owners, evidence needs, and where AI Workers can safely support work before broader adoption decisions.
Plan AI Worker support for patient-access operations, care coordination assistance, documentation support, claims operations, research support, and internal knowledge workflows.
Clarify PHI boundaries, professional review points, escalation paths, evidence expectations, and human decision boundaries before customer-specific review.
Plan AI Worker support for risk operations, compliance evidence, customer-service assistance, model-governance preparation, reporting support, fraud-operations triage, and workflow review.
Clarify customer-impact boundaries, model-risk review, fair-lending considerations, decision ownership, approval paths, monitoring expectations, and exception handling.
Plan AI Worker support for CMMC and NIST 800-171-informed evidence readiness, public-sector accountability, secure workflow review, and governed operating paths.
Clarify Federal Contract Information, Controlled Unclassified Information, human review, Passport boundaries, Toll Gates, Stamps, and evidence-package expectations before customer-specific review.
Plan AI Worker support for intake routing, records support, policy analysis, grants, permitting, constituent-service assistance, and public-program operations.
Clarify transparency, accessibility, records retention, human decision rights, escalation paths, public accountability, auditability, and evidence preparation.
Plan AI Worker support for agent assist, call summarization, ticket routing, knowledge retrieval, quality review, service recovery, and escalation workflows.
Clarify approved knowledge sources, transcript handling, customer-impact boundaries, prohibited actions, human review, quality evidence, and service-performance signals.
Plan AI Worker support for product operations, platform operations, developer support, security operations, release readiness, internal automation, and customer-support tooling.
Clarify API and MCP boundaries, connector ownership, secrets handling, change control, incident response, observability, drift review, lifecycle management, and decommissioning.
Plan AI Worker support for quality review, maintenance planning, supplier management, field service, safety workflow preparation, and operational handoffs.
Clarify operational risk, safety boundaries, escalation requirements, data lineage, vendor evidence, change impacts, and human authorization before operational use.
These pages are planning aids. They do not approve production use, legal conclusions, compliance conclusions, security authorization, live integrations, or autonomous approvals.
Recommended path