Strategy Alignment Worker
Helps define business objectives, value arenas, sponsor alignment, KPI trees, and AI transformation charters.
Human-Led, AI-First guidance
AI Workers
Reusable Scaled Agents AI Workers help teams complete artifacts, run reviews, maintain governance records, recommend next steps, and convert lessons into reusable patterns.
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.
Transformation Office Worker
Helps coordinate the transformation portfolio, decision logs, owners, risks, dependencies, progress reporting, and executive updates.
Discovery Worker
Helps interview teams, summarize current-state work, extract recurring tasks, identify friction, and draft opportunity canvases.
Workflow Mapper Worker
Helps convert interviews, SOPs, meeting notes, tickets, and process documentation into workflow maps, handoff maps, task decomposition, and friction logs.
Agent Fit Advisor Worker
Helps recommend whether a use case should be human-only, prompt/template, assistant, automation, AI Worker, workflow agent, multi-agent process, or integration/application.
Governance Worker
Helps draft commit boundaries, risk tiers, escalation rules, human review gates, Agent Passport fields, and runtime governance checks.
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.