Readiness view
Draft AI worker readiness view, workstream readiness observations, evidence gaps, and decision posture for planning.
Governance Proof
See how AI Worker authority becomes reviewable evidence.
Trace the governed path from Passport identity and Human Review to a scoped Runtime Permit, Action Broker decision, and Evidence Record.
Scaled Agents is a licensed, customer-managed AI Worker Control Plane. It connects who owns the Worker, what it may do, who reviewed the decision, what happened at action time, and what evidence remains—without turning a public page into an approval or assurance claim.
The proof chain
Governance proof is a connected decision trail—not a dashboard claim.
A reviewable chain connects the AI Worker and its owner to approved scope, the requested action, policy and Human Review, short-lived authority, controlled execution, and customer-safe evidence.
Passport
Toll Gate
Human Review
Runtime Permit
Action Broker
Evidence
This public explanation shows the governance model and review path. Proof for a deployed customer environment still requires customer-specific records, configuration, testing, accountable decisions, and retained evidence.
Supporting review
Examine the proof through five review lenses.
Use these lenses when deeper governance, risk, compliance-readiness, trust, or security questions need to be prepared for accountable reviewers.
Governance readiness
Governance readiness asks whether the AI worker has a named purpose, accountable owner, operating record, authority boundary, review path, and lifecycle state before it becomes a recurring way of working.
- Define the AI worker role, business outcome, owner, sponsor, reviewer, and escalation path.
- Document scope, prohibited actions, data boundaries, system destinations, and approved tool or connector use.
- Use Passport and Toll Gate concepts to separate recommendations from human approval and consequential action.
Review Boundary
Governance readiness guidance helps teams identify ownership, approval paths, evidence needs, and operating boundaries. It does not approve an AI worker, authorize production use, or replace accountable human review.
Risk readiness
Risk readiness asks whether the organization understands autonomy, data sensitivity, decision impact, workflow criticality, and what must pause or escalate when uncertainty appears.
- Classify risk tier using autonomy, trust boundary, data class, external exposure, and business consequence.
- Identify scale-breakers such as missing ownership, sensitive data, write access, unclear escalation, or externally visible behavior.
- Preserve human risk acceptance for higher-impact work instead of treating AI classification as final approval.
Review Boundary
Risk readiness guidance helps identify potential exposure, control needs, and escalation paths. It does not eliminate risk, assign final risk acceptance, or replace review by accountable risk owners.
Compliance readiness
Compliance readiness asks whether evidence, control mapping, responsibility boundaries, and review artifacts are organized enough for the right human reviewers to evaluate them.
- Map readiness to relevant internal policies, customer obligations, and framework-informed review inputs without claiming formal compliance.
- Prepare evidence packages that show ownership, controls, assumptions, gaps, reviewer decisions, and open conditions.
- Keep legal, compliance, audit, privacy, and security decisions with authorized reviewers.
Review Boundary
Compliance readiness guidance supports preparation, evidence mapping, and gap identification. It does not certify compliance, provide legal advice, or represent an audit opinion or regulatory determination.
Trust readiness
Trust readiness asks whether customers, operators, and reviewers can understand what is current, what is in progress, what is not claimed, and where human accountability remains.
- Use transparent posture language for current capabilities, planned controls, review status, and not-claimed boundaries.
- Separate readiness summaries from customer security packets, contract exhibits, attestations, and formal approvals.
- Keep public trust language conservative, evidence-based, source-aligned, and reviewable.
Review Boundary
Trust readiness guidance summarizes current posture, transparency boundaries, and evidence expectations. It does not represent independent attestation, third-party validation, formal customer security approval, or certification.
Security readiness
Security readiness asks whether least privilege, data minimization, secret handling, monitoring, incident paths, and tenant or environment boundaries are understood before access expands.
- Review identity, access, tool permissions, secrets handling, logging, monitoring, data movement, and production-system boundaries.
- Define what must block, escalate, or require human approval when an AI worker requests restricted data, tools, APIs, or destinations.
- Prepare incident, pause, disable, rollback, evidence, and remediation paths before recurring AI operations scale.
Review Boundary
Security readiness guidance helps identify security controls, access boundaries, monitoring needs, and incident paths. It does not authorize production access, validate a security architecture, or replace security review.
Readiness Review Output
What you get from a readiness review.
A readiness review helps teams organize available-now planning artifacts before an AI worker moves toward a workspace record, implementation backlog, or human review path.
Passport planning
Agent Passport planning materials for identity, ownership, intended scope, review roles, assumptions, and open questions.
Review path
Human review needs, Toll Gate / review-path planning, blockers, and next-step recommendations for accountable review.
Prepare for the future workspace
Use readiness review outputs to prepare AI worker identity, ownership, scope, review paths, and evidence before moving into the future Scaled Agents workspace. Users should seek qualified legal review of legal-sensitive documents and appropriate expert review before relying on customer-specific outputs or decisions.
Review boundary
Readiness review outputs are planning and review-preparation materials. They do not approve an AI worker, provide legal advice, create a compliance conclusion, issue a security conclusion, represent audit signoff, or authorize production use.
Runtime Governance
AI workers need controls before consequential action.
As AI workers move from drafting and summarizing into tool use, workflow routing, data access, cost-generating activity, or production-adjacent support, governance has to happen before action, not only after review. Scaled Agents™ frames that control path through Passport scope, runtime authorization, Toll Gates, evidence, human approval, cost and usage awareness, data boundary metadata, and pause or containment planning so oversight can be timely, meaningful, and purpose-aligned.
Identity and authority
Connect each AI worker to an owner, Passport boundary, workload identity assumptions, approved tools, and prohibited autonomous actions.
Runtime gates
Define which data, tool, API, workflow, cost, or production-adjacent requests require runtime authorization, evidence, human approval, denial, or escalation.
Observability and audit
Preserve policy version, review path, evidence references, decision rationale, monitoring notes, and closure status for later reconstruction.
Pause and containment
Plan what should pause, restrict, disable, revoke, or route to incident review when behavior, context, cost, or data movement leaves the approved boundary.
Need the process sequence?
Governance Readiness is the overview. The Governed Workflow page shows the supporting process path from intake through review, backlog, implementation, and follow-up review without creating a second governance landing page.
Capability boundary
Runtime governance language on this public page describes planning and readiness concepts. It does not claim live runtime enforcement, automated cost blocking, automatic incident containment, security authorization, or production approval.
Readiness Resources
Evidence and review resources.
These resources support planning conversations and governance review. They are not formal approvals, compliance conclusions, audit opinions, security authorizations, or production permissions.
AI Agent Readiness Checklist
Review ownership, data, tools, human approval, evidence, monitoring, drift, and containment before agent authority expands.
Governance Evidence Package
Summarize agent inventory, ownership, controls, monitoring, exceptions, assumptions, and review boundaries.
Governance Assurance Self-Assessment
Review readiness levels, control domains, result categories, and review limits without treating the outcome as attestation.
ISO 42001 Readiness Support
See how Scaled Agents™ supports ISO 42001-aware and ISO 27001-integration-aware readiness through inventory, Passport, impact assessment, evidence, and control mapping preparation.
Public content boundary
This page is informational and public-facing. It does not disclose internal control logic, evidence schemas, scoring methods, source code, customer records, implementation workflows, security-sensitive details, or legal conclusions.
Trust Status
Frameworks, partners, and license posture.
Scaled Agents uses a transparent status model for framework-informed readiness, partner conversations, licensing, and evidence support. These statements support education and review preparation and do not grant certification, legal approval, compliance approval, security authorization, partner endorsement, or production permission.
Current
Public materials may reference framework-informed readiness, self-assessment, evidence preparation, public downloads, Advisor paths, and partner conversations with conservative review boundaries.
In Progress
Privacy, Terms, Trust Center, Partners, software-license, public-download, and customer-workspace language is being synchronized for legal, privacy, security, commercial, and product review.
Planned
Formal software license agreements, partner terms, data processing terms, subprocessor disclosures, acceptable-use terms, and customer workspace terms require separate approval.
Not Claimed
No certification, accreditation, government authorization, independent attestation, audit opinion, legal conclusion, security authorization, production approval, or third-party endorsement is claimed.
Enterprise review packet boundary
Public trust language is designed to support buyer diligence and professional review. Final customer trust responses, security questionnaires, DPAs, software licenses, partner terms, support obligations, subprocessors, and customer-specific control assertions must be reviewed through the applicable legal, privacy, security, commercial, and owner approval path. Users are encouraged to seek qualified legal review and qualified expert review before relying on customer-specific trust materials.
AI Assurance Paths
Trust Center pages should explain how governance records support customer-managed assurance work.
Scaled Agents supports readiness and evidence organization around governed AI workers. Formal deployment approval, independent assessment, and customer-specific closure remain the responsibility of the customer and its chosen reviewers.
AI Assurance Framework
Explain identity, authority, runtime control, and evidence expectations using customer-managed language.
Evidence & Accountability
Connect Passports, Human Review, Toll Gates, Runtime Permit posture, and later evidence reconstruction.
Independent Assurance
Clarify that any deployed-agent assessment remains customer- and environment-specific, not product-level.
Independent assurance boundary Public Trust Center content remains explanatory. It does not create certification, production approval, or an audit opinion.