Financial Services
Risk, compliance, advisor productivity, customer service, fraud operations, underwriting, reporting, audit evidence, and policy operations.
Human-Led, AI-First guidance
Industry Playbooks
Industry playbooks map business priorities, AI Worker opportunities, governance concerns, recommended artifacts, and success measures.
Context
Use this guidance to plan before scaling
This page supports education, planning, and operating model decisions. It connects the public approach to the library, readiness assessment, and human advisor path without duplicating practitioner templates.
- Pick the business outcome and human owner before selecting tooling.
- Map current work visibility, handoffs, decisions, systems, data, and rework.
- Choose an implementation path and complete the linked practitioner artifacts.
- Define governance, evidence, escalation, measurement, and lifecycle boundaries before scaling.
Operating model
Scaled Agents point of view
These pages explain the approach. The library holds the copyable artifacts, maps, AI Worker support notes, and review questions.
Healthcare & Life Sciences
Patient access operations, care coordination support, clinical documentation support with human review, compliance, claims operations, research operations, and knowledge management.
Manufacturing & Supply Chain
Quality, maintenance planning, supplier management, production planning, field service, safety, inventory, and work instructions.
Software & Product Engineering
Product discovery, requirements, backlog refinement, engineering delivery, release readiness, incident response, design-to-code, test generation, and customer feedback loops.
Professional Services
Proposal response, research, client delivery, project governance, knowledge reuse, staffing, quality review, and account planning.
Public Sector
Case management, constituent services, permitting, grants, policy analysis, compliance, records, human review, and auditability.
Planning artifacts support education and readiness decisions. They are not legal, compliance, security, or production approvals.
Path
Move from education to implementation planning
Use the sequence below to decide whether your next step is self-guided library work, Create a Scaled Agent, or a human advisor conversation.
1. Orient
Review the operating model and define the business outcome, human owner, and decision boundary.
2. Prepare
Use readiness and library artifacts to map workflows, AI Worker fit, governance needs, and evidence gaps.
3. Route
Continue with Create a Scaled Agent, Portal Sign In, or Human Advisor support based on readiness and risk.
Readiness
Keep the conversation grounded in ownership, evidence, and adoption.
Human-Led, AI-First planning should clarify who owns the work, what AI Workers may do, what must be reviewed, and how the organization will measure value and risk over time.
Ready to choose the next path?
Start with the readiness assessment or route to a human advisor when the operating model, risk posture, or implementation path needs specialized review.