Architecture
Embedded CanonDraw
The CanonDraw architecture stays inside the review flow so architecture, runtime, policy, cost, risk, and implementation decisions share the same evidence boundary.
Review workspace
Enterprise Knowledge Assistant Operating Model Review
Review, discuss, approve, and prepare implementation from the same generated operating model artifacts already produced by the Models platform.
Executive ModeDecision package ready for section review
4 of 10 sections reviewed
- Business
- Knowledge access and answer quality
- Risk
- 1 section blockers
- Timeline
- Approve sections before implementation
- Cost
- Review against delivery phase
- Decision
- Approve, reject, or request revision
Current Operating Model
Before
Pilots run through team-local evaluation and exportable reports.
After
Current state is visible as the baseline for every decision.
Difference
Reviewers can approve the factual baseline before discussing target changes.
Why? Show evidence, rules, assumptions, dependencies
- Origin
- CDX-MODELS-016, CDX-MODELS-024
- Rule
- Operating model source snapshot 1.0.0
- Ontology
- opermodel-operating-model-assessment.v1
- Recommendation
- Keep baseline findings explicit and separate from recommendations.
- History
- Generated 2026-07-12T14:00:00.000Z from the assessment delivery package.
- Dependencies
- CanonDocs, CanonDraw, diagnostic, governance, validation, and implementation artifacts.
Target Operating Model
Before
Target state appears inside generated report sections.
After
Target roles, controls, runtime, and delivery path are reviewed side by side.
Difference
Executives can see what must change before they approve implementation.
Why? Show evidence, rules, assumptions, dependencies
- Origin
- CDX-MODELS-016, CDX-MODELS-024
- Rule
- Diagnostic and operating model rules
- Ontology
- opermodel-operating-model-assessment.v1
- Recommendation
- Advance target model only after accountable owners are named.
- History
- Generated 2026-07-12T14:00:00.000Z from the assessment delivery package.
- Dependencies
- CanonDocs, CanonDraw, diagnostic, governance, validation, and implementation artifacts.
Operating Model Delta
Before
Gaps require reading across reports.
After
Before, after, and difference are the primary UI for every section.
Difference
The workspace makes change impact reviewable without opening multiple files.
Why? Show evidence, rules, assumptions, dependencies
- Origin
- CDX-MODELS-016
- Rule
- Delta derived from current and target operating model outputs
- Ontology
- opermodel-operating-model-assessment.v1
- Recommendation
- Resolve governance and runtime deltas before implementation starts.
- History
- Generated 2026-07-12T14:00:00.000Z from the assessment delivery package.
- Dependencies
- CanonDocs, CanonDraw, diagnostic, governance, validation, and implementation artifacts.
Runtime
Before
Runtime decisions are captured as implementation evidence.
After
Runtime ownership, approval gates, and validation are attached to the review.
Difference
Architecture choices become operating commitments instead of notes.
Why? Show evidence, rules, assumptions, dependencies
- Origin
- CDX-MODELS-008, CDX-MODELS-022
- Rule
- Validation and readiness rules
- Ontology
- opermodel-operating-model-assessment.v1
- Recommendation
- Treat runtime launch as a governed readiness checkpoint.
- History
- Generated 2026-07-12T14:00:00.000Z from the assessment delivery package.
- Dependencies
- CanonDocs, CanonDraw, diagnostic, governance, validation, and implementation artifacts.
Governance
Before
Policy appears in the governance report.
After
Authority, rules, assumptions, and approval path are visible in place.
Difference
Reviewers can approve governance independently from engineering detail.
Why? Show evidence, rules, assumptions, dependencies
- Origin
- CDX-MODELS-017
- Rule
- Governance policy rules v1
- Ontology
- opermodel-operating-model-assessment.v1
- Recommendation
- Keep human approval, audit trail, classification, and export provenance required.
- History
- Generated 2026-07-12T14:00:00.000Z from the assessment delivery package.
- Dependencies
- CanonDocs, CanonDraw, diagnostic, governance, validation, and implementation artifacts.
Cost
Before
Cost is packaged in the executive decision artifact.
After
Cost exposure is reviewed with timeline, risk, and implementation impact.
Difference
Budget decisions become part of the approval record.
Why? Show evidence, rules, assumptions, dependencies
- Origin
- CDX-MODELS-020
- Rule
- Executive decision package 1.0.0
- Ontology
- opermodel-operating-model-assessment.v1
- Recommendation
- Approve cost only with a named implementation phase and risk owner.
- History
- Generated 2026-07-12T14:00:00.000Z from the assessment delivery package.
- Dependencies
- CanonDocs, CanonDraw, diagnostic, governance, validation, and implementation artifacts.
Readiness
Before
Validation output is read separately from the plan.
After
Readiness is tied to status, evidence, assumptions, and dependencies.
Difference
Teams can see what blocks implementation before they commit.
Why? Show evidence, rules, assumptions, dependencies
- Origin
- CDX-MODELS-008, CDX-MODELS-022
- Rule
- Diagnostic readiness rules
- Ontology
- opermodel-operating-model-assessment.v1
- Recommendation
- Require readiness review before moving from pilot to scale.
- History
- Generated 2026-07-12T14:00:00.000Z from the assessment delivery package.
- Dependencies
- CanonDocs, CanonDraw, diagnostic, governance, validation, and implementation artifacts.
Risks
Before
Risk items are embedded in generated reports.
After
Risk is bookmarkable, noteable, and decision-ready.
Difference
Important issues persist for later review instead of being lost in exports.
Why? Show evidence, rules, assumptions, dependencies
- Origin
- CDX-MODELS-020
- Rule
- Executive decision and governance rules
- Ontology
- opermodel-operating-model-assessment.v1
- Recommendation
- Escalate unresolved policy, runtime, and cost risks to executive decision.
- History
- Generated 2026-07-12T14:00:00.000Z from the assessment delivery package.
- Dependencies
- CanonDocs, CanonDraw, diagnostic, governance, validation, and implementation artifacts.
Implementation
Before
Implementation roadmap is exported as a delivery artifact.
After
Implementation is reviewed with dependencies and approvals attached.
Difference
Delivery teams inherit a decision record, not only a report.
Why? Show evidence, rules, assumptions, dependencies
- Origin
- CDX-MODELS-007, CDX-MODELS-018
- Rule
- Implementation plan and package 1.0.0
- Ontology
- opermodel-operating-model-assessment.v1
- Recommendation
- Start implementation only after section-level approvals are recorded.
- History
- Generated 2026-07-12T14:00:00.000Z from the assessment delivery package.
- Dependencies
- CanonDocs, CanonDraw, diagnostic, governance, validation, and implementation artifacts.
Executive Decision
Before
Executives leave the workflow to read packages.
After
Business, risk, timeline, cost, and decision are visible in Executive Mode.
Difference
Approval can happen section by section in one workspace.
Why? Show evidence, rules, assumptions, dependencies
- Origin
- CDX-MODELS-020
- Rule
- Executive decision package 1.0.0
- Ontology
- opermodel-operating-model-assessment.v1
- Recommendation
- Approve, reject, or request revision with structured notes.
- History
- Generated 2026-07-12T14:00:00.000Z from the assessment delivery package.
- Dependencies
- CanonDocs, CanonDraw, diagnostic, governance, validation, and implementation artifacts.
Local audit
Review activity
- Review workspace createdenterprise-knowledge-assistant · 2026-07-12T14:00:00.000Z
Design your AI Operating Model.
Design the operating modelyour organization needsto implement AI successfully.
OperModel helps teams move from current state to target state, then into implementation, governance, and execution with traceable evidence instead of generic AI strategy decks.
Interactive demo
Start with the same workflow used by the Models platform.
The diagnostic stays intentionally short. It collects the minimum evidence needed to move from current state to target state, then into implementation, governance, and execution planning.
Select three inputs to save an operating model assessment outline.
Problem
Organizations are deploying AI without an operating model.
Pilots move faster than authority, risk ownership, runtime design, validation, and delivery planning. OperModel gives enterprise teams a way to see what exists, what should exist, what must be approved, and what has to be built.
Solution
OperModel creates the operating model layer around AI implementation.
CurrentTargetImplementationGovernanceDecision Package
Outputs
Traceable outputs generated by the Models platform.
This sample is the CDX-024 CanonDocs publication for the Enterprise Knowledge Assistant operating model. It demonstrates the output format and evidence chain, not a completed real-customer pilot; unknown or absent pilot data is left explicit instead of filled in with invented claims.
Published Full Report v1.0.0
Enterprise Knowledge Assistant Operating Model
- Executive Summary
- Operating Model Specification
- Engineering Guide
- Governance Handbook
- Appendix with evidence references
Source snapshot includes diagnostic, architecture, runtime, validation, governance, implementation, executive decision, and cost artifacts. CDX-023 pilot evidence is not present, so customer-specific findings remain out of scope for this sample.
CanonDrawSystem, authority, deployment, and workflow diagrams exported from the same architecture graph.CanonDocsPublished Full Report generated from the platform source snapshot, with pilot gaps left explicit.Executive PackageDecision-ready context from the source snapshot: risks, investment, approvals, and implementation basis.Implementation PackageDelivery evidence captured in the operating model source snapshot and report appendix.ProvenanceSource boundary showing CDX-024 as the sample source and CDX-023 pilot evidence as absent.
Method
One workflow from discovery to delivery.
- Discover
The diagnostic collects organization type, operating-model priority, and current state, then reads the platform source snapshot to establish the Current Operating Model as the factual baseline every later decision is measured against.
- Design
Target roles, controls, runtime, and delivery path are laid out beside the current state. The Operating Model Delta surfaces before, after, and difference for each section so executives see exactly what must change before approving implementation.
- Decide
In Executive Mode, business, risk, timeline, and cost are visible in one panel. Reviewers approve, reject, or request revision section by section, and every status change is written to a device-local audit history.
- Govern
Governance carries authority, rules, assumptions, and the approval path in place. Human approval, audit trail, classification, and export provenance stay required so a decision can be reviewed with its source boundary intact.
- Deliver
Readiness ties status to evidence, assumptions, and dependencies, and the Implementation section inherits recorded section approvals. The reviewed package exports as JSON, PDF, and an evidence manifest for the delivery team.
Who it is for
Teams that need evidence before scaling AI.
EnterpriseTransformation teams moving AI pilots into governed production with accountable owners.
GovernmentRegulated deployment planning where authority, audit trail, and approvals must be explicit.
ConsultingAssessment artifacts clients can review and approve section by section, not just receive as a deck.
IndustrialRuntime readiness gates checked before AI scales across operations.
EducationArchitecture clarity and traceable evidence before an institution-wide rollout.
About
OperModel is the commercial front door for the Models platform.
It uses the platform workflow already built across diagnostics, architecture, runtime planning, governance, implementation planning, executive decision support, CanonDraw, and CanonDocs.
Trust boundary
A foundation for traceable enterprise assessment, not a security certification.
OperModel records workspace ownership, classification, provenance, audit history, and export metadata so assessment artifacts can be reviewed with their source boundary intact. It does not claim production identity integration, encryption-key management, runtime tenant isolation, or compliance certification.
Storyboards
The operating model, drawn from the evidence.
Book assessment
Request an Operating Model Assessment.
Use this when your team needs an evidence-based path from AI ambition to accountable execution. Requests are captured in a first-party assessment queue for qualified follow-up.