Public status
Review-ready source-package offer
review-ready
Review-ready source-package offer Eval-gated AI path, deterministic-first Architecture outline
Change Order & Claims Intelligence Pro architecture outline
Architecture outline for deterministic-first Claims Pro review: structuring change events, notices, evidence references, AI-assisted clause extraction, narrative structuring, analogous semantic search and open actions for buyer review.
Module status and purpose
Maturity route
Eval-gated AI path, deterministic-first
Architecture outline
Recommended next step
Request qualified technical review
Start with qualified technical review.
Logical component map
Inputs, review logic and outputs.
A buyer-facing map of the module structure using the existing public module data and aligned architecture notes.
Logical component
Change intake
Collects change and claim-readiness inputs for review.
- Change events
- Notice records
- Evidence references
- Commercial impact entries
- Open actions
Logical component
Claim/change review logic
Organizes records, AI-assisted extraction outputs and review indicators without legal-advice claims.
- Change event structuring
- Evidence grouping
- Contract clause extraction with citation verification
- Change event narrative structuring
- Analogous case semantic search
- Action and traceability review
Logical component
Review outputs
Summarizes change status, evidence and open actions for buyer-side validation.
- Status/review outputs
- Evidence summary outputs
- Commercial impact summary
- Open action review trail
Architecture layers
Input, processing and output layers.
Use these lists to compare the module outline with buyer data objects and host-platform workflow.
Input layer
Data objects entering review.
- Change events
- Notice records
- Evidence references
- Commercial impact entries
- Open actions
Processing layer
Review logic and workflow preparation.
- Change event structuring
- Evidence grouping
- Contract clause extraction with citation verification
- Change event narrative structuring
- Analogous case semantic search
- AI call audit logging
- Claim/change review logic
- Commercial impact summarization
- Action and traceability review
Output layer
Review outputs for buyer validation.
- Status/review outputs
- Evidence summary outputs
- Commercial impact summary
- Open action review trail
Integration points
Review against the buyer host platform.
Nivorqa Labs module architecture assumes buyer-specific adaptation rather than a public deployment path.
Integration targets
Likely handoff and adaptation points.
- Contract management platforms
- Defects and issues management platforms
- Construction ERP commercial modules
- Document control and evidence registers
- Project controls and commercial reporting workflows
- Integrator delivery environments
Data contract summary
Fields and semantics to validate.
- Buyer should identify event ID, notice references, evidence references, owner, dates, commercial impact fields and action state.
- Evidence permissions and document-control references must be reviewed before any deeper disclosure.
- Contract documents, buyer-curated golden cases and analogous case summaries require controlled discussion before AI evaluation.
- Commercial impact definitions remain buyer-side validation responsibilities.
Buyer validation responsibilities
Buyer-side validation required.
- Validate change-event categories, notice fields, evidence-reference permissions and open-action workflow.
- Validate extracted clauses against source documents and citation references.
- Confirm precision/recall by clause type, macro F1, narrative parsing agreement and Recall@K expectations before relying on AI-assisted review; buyer-side validation required.
- Confirm that outputs support review and decision support only.
- Confirm that review does not replace legal advice, entitlement assessment or buyer governance.
Security / tenant / access assumptions
Host platform ownership remains explicit.
- Host platform identity, tenant separation, role permissions and access logs remain buyer-side integration responsibilities.
- The public site collects no credentials, secrets, buyer records or live client data.
- Any deeper source-review discussion requires qualification, agreement and NDA where appropriate.
- Security review scope must be agreed before buyer systems, private repositories or integration environments are discussed.
Source-review boundary
Architecture outline is not source disclosure.
- Architecture pages explain module structure and integration assumptions; they do not provide source files.
- No public source-code download.
- No automatic access.
- No free sandbox.
- No automatic marketplace access.
- Controlled source-package discussion, if appropriate, comes after qualification and separate agreement.
Implementation caveats
Adaptation depends on buyer environment.
- Host platform integration required.
- Buyer-side validation required.
- Database, model, UI and API adaptation depend on buyer environment.
- Public architecture outlines do not provide production-readiness guarantee, pricing, checkout or deployment proof.
- AI outputs must be logged with prompt version, model id and input hash where AI is enabled.
- Claim/change review logic must be mapped to buyer contract workflows and document-control rules before deeper evaluation.
Not for / disqualifiers
Where this route should stop.
- Buyers seeking legal advice, entitlement assessment, arbitration support or automatic claim validity.
- Teams expecting guaranteed claim recovery or legal outcome predictions.
- Organizations requiring public source access, live client data or production deployment proof from the public site.
Related review pages
Use architecture with data and source-review boundaries.
Keep the first review specific: module, data objects, integration assumptions and disclosure boundary.
Technical review next step
Review Change Order & Claims Intelligence Pro architecture with Nivorqa Labs.
Send the buyer environment, available data objects, integration assumptions and architecture questions for qualified review.
Direct line
labs@nivorqa.comUse email for review-pack requests, module fit questions, licensing conversations and pilot scoping.