Public preview - Governed AI worker planning materials are informational and support readiness conversations.

Scaled Agents™ Advisor

Find the right starting point for your AI organization.

Use Scaled Agents™ Advisor to assess readiness, discover workflow needs, plan the journey, confirm the organization blueprint, and create a governed AI agent when the next step is clear. Advisor paths support the licensed, customer-managed platform; they are not the core offer or a separate approval path.

Start with high-level, non-confidential planning. Move to Human Advisor intake when the question needs organization-specific context, owner routing, or follow-up planning.

AI advisor options open a custom Scaled Agents™ GPT experience. Sign-in may be required.

Context / Intent

The Advisor page helps teams choose the right support path around governed AI worker planning. Use it to decide whether to assess readiness, explore a workflow, plan the AI journey, prepare an organization Blueprint, create a draft Scaled Agent, review partner options, or request human advisory support. Advisor paths are planning and review-preparation aids only; they do not create production authority, legal conclusions, compliance conclusions, security authorization, or live system access.

Advisor Paths

Choose your advisor path

Most teams do not need every option. Start where your question is today and move forward as the work becomes clearer.

Recommended sequence

1Assess readinessStart with governance questions, ownership thinking, review boundaries, and readiness planning.
2Discover workflowExplore the business problem, handoffs, reusable templates, controls, and approval paths.
3Plan the journeyDefine the vision, maturity baseline, use case priorities, and phased roadmap.
4Confirm the blueprintMap AI worker roles, workflows, approval paths, knowledge needs, and governance risks.
5Create the agentGenerate the governed Blueprint with recommended type, risk tier, owners, controls, and next step.

Forward-Deployed AI Assessment

Best for exploring business problems, workflow discovery, delivery controls, reusable templates, and approval paths before Forward-Deployed AI work moves from concept to controlled execution.

Enterprise AI Journey Planner

Best for organizations that need to define a practical AI vision, assess maturity, prioritize use cases, and map a phased roadmap to governed AI workers, evidence, owners, and review gates. Use generalized or authorized planning information only in public preview paths.

AI Organization Blueprint

Best for founders and small teams that need to design an AI-native organization with recommended AI worker roles, workflow maps, approval paths, knowledge needs, governance risks, and a practical roadmap.

Create a Scaled Agent

Best for teams that have an AI agent idea and need to define the use case, classify risk, identify owners, recommend controls, and produce a Scaled Agent Blueprint before build or registration.

Partners

Best for advisory firms, GRC consultants, vCISOs, ISO advisors, privacy and AI legal advisory teams, and AI transformation consultants that want to use Scaled Agents with multiple clients.

Human Advisor

Best for organization-specific questions, service planning, readiness conversations, and next-step guidance after a short intake request.

* AI advisor links open custom Scaled Agents™ GPT experiences for guided planning. Sign-in may be required.

Confidentiality Boundary

Before you chat

Please do not submit passwords, credentials, production secrets, regulated data, customer records, confidential third-party information, or sensitive system details.

Governance Bridge

What Scaled Agents makes explicit

Scaled Agents does not replace the governance model an organization already uses. It gives AI workers a structured way to connect agent-specific concepts back to ownership, risk appetite, control domains, review paths, documentation, auditability, and human accountability.

Known by design

  • AI workers need a defined purpose, human owner, lifecycle status, risk tier, and scoped authority.
  • Passports, registries, Toll Gates, evidence records, and review paths should make accountability visible.
  • Higher autonomy, sensitive data, external exposure, production systems, or business-critical workflows require stronger review.
  • AI workers may assist, draft, classify, summarize, recommend, route, and prepare evidence within approved boundaries.
  • Draft Blueprint and Advisor outputs are planning artifacts for review, not formal approval or production authorization.

Unknown until customer review

  • Which customer policies, committees, control frameworks, systems, data classes, and evidence standards apply.
  • Whether a specific AI worker should be approved, paused, redesigned, restricted, or moved toward implementation.
  • Which actions require management, risk, compliance, legal, security, privacy, model risk, operations, or audit review.
  • Whether the available evidence is sufficient for the organization's accountability, assurance, or oversight needs.
  • Whether any AI-supported action can proceed without human review in a specific business context.

The goal is not to create a separate governance universe for AI. The goal is to extend familiar enterprise governance into AI-enabled execution with clearer ownership, review boundaries, control checkpoints, lifecycle visibility, and evidence trails.

Public preview - Materials support readiness planning and do not authorize production use.