Alignment
Business outcome, sponsor, value hypothesis, and decision boundary.
Human-Led, AI-First guidance
Readiness Assessment
Score whether the organization is ready to move from education into governed AI Worker planning, with clear ownership, evidence, adoption, and measurement boundaries.
Context
Assess the conditions for governed AI Worker adoption.
This page helps an organization decide whether it is ready for self-guided library work, Create a Scaled Agent planning, or a Human Advisor conversation. It does not duplicate the full assessment template in the navigation.
- Confirm the business outcome, accountable owner, and decision boundary.
- Map current work visibility, handoffs, systems, data, and evidence gaps.
- Score AI Worker fit, governance readiness, adoption readiness, and measurement readiness.
- Route to the lightest next step that still covers risk, ownership, and evidence.
Assessment dimensions
Ten readiness dimensions, one planning decision
The assessment turns broad AI ambition into a practical readiness profile. Each dimension should produce evidence, gaps, and a next-step recommendation.
Work Visibility
Current workflow, handoffs, exceptions, rework, and owner decisions.
Data and Systems
Data classes, system access, connector assumptions, and source quality.
AI Worker Fit
Candidate work patterns, autonomy level, trust boundary, and risk tier.
Governance
Passport scope, Toll Gates, evidence expectations, and escalation path.
Role Readiness
Human owner, reviewers, operators, adoption impact, and training needs.
Adoption
Change readiness, communications, operating cadence, and support model.
Measurement
Value, risk, quality, cycle-time, and lifecycle monitoring indicators.
Experimentation
Safe pilot boundary, review gates, assumptions, and pause criteria.
Pattern Reuse
Templates, playbooks, library artifacts, and repeatable implementation paths.
A readiness score is planning input. It is not a certification, compliance conclusion, security authorization, or production approval.
Routing logic
Use the readiness profile to choose the next path
The output should make the next step obvious without implying approval. Route by readiness level, risk, evidence gaps, and implementation complexity.
Self-guided library work
Use when the outcome is clear, the risk is low, owners are known, and the team mainly needs templates, maps, and planning artifacts.
Route: Public Library
Create a Scaled Agent
Use when the organization has a candidate AI Worker and needs a structured Blueprint before implementation or platform licensing decisions.
Route: Design an AI worker
Human Advisor review
Use when ownership, data sensitivity, governance, risk, or operating-model design requires specialized review before moving forward.
Route: Human Advisor
Readiness
Use readiness to reduce guesswork before platform or consulting decisions.
The assessment should help teams educate themselves, plan responsibly, and decide whether to continue with library artifacts, license the platform path, or request specialized Scaled Agents assistance.
Ready to assess organizational readiness?
Start with the readiness assessment, then route to the library, Create a Scaled Agent, or Human Advisor support based on evidence and risk.