Ask questions
Ask about contracts, drawings, RFIs, quality findings, obligations, and project status using natural language.
Embedded AI Agent
An AI Agent that understands construction documents.
The VU-QC AI Agent is embedded across the platform to help users understand documents, take action, and identify patterns across contracts, drawings, RFIs, quality records, and surety signals.
Works across Core Platform and all Add-On Suites
Ask project questionsDraft RFIsCompare documentsUsage Intelligence
VU-QC AI Agent
AI Agent chatEmbedded across platform
Ask a question about your project, latest risks, open RFIs, document changes, or next actions.
Compare contract and drawing
Potential mismatch flagged between turnover obligations in the contract package and commissioning hold points referenced in the current electrical drawing set.
421
118
Design + Contract
Coordination
Core workflows
The AI Agent helps teams move from document review to next action faster.
These sections explain the main usage patterns without overstating automation. Every recommended action remains user-reviewed and user-approved.
Summarize findings
Review document findings, open issues, latest changes, and emerging themes in a compact project-ready format.
Draft RFIs
Turn identified issues into structured RFI drafts with clearer context, traceability, and suggested next steps.
Compare contracts and drawings
Surface possible mismatches across contractual language, drawing notes, schedules, and active design revisions.
Explain risks
Help users understand why certain signals matter and which issues may require closer technical or commercial review.
Suggest next actions
Recommend follow-up actions such as reviewing overdue items, drafting RFIs, or checking missing document evidence.
Track adoption
Monitor how teams use the assistant across modules, roles, and workflows to improve onboarding and product fit.
Learn common patterns
Highlight recurring issue themes, common questions, and module behavior trends across the platform.
In-product experience
One agent across contracts, drawings, RFIs, QA/QC, and surety views.
The same AI layer is presented as a consistent assistant across modules, helping users keep context while moving through project workflows.
Cross-module assistant
Quick prompts
Summarize latest risks
What changed today?
Compare contract and drawing
Show open issues
Recommended actionsRegion: United States
Review 6 overdue RFIs
Check 2 unresolved design clashes
Confirm 1 contract notice dependency
Update partner review summary
The assistant helps users learn which module to use, what actions are available, and how to interpret findings.
Customer documents remain private. The concept page states that usage analytics can be anonymized and permission-controlled.
The AI Agent can suggest actions, but final workflow execution remains user-approved.
Usage Intelligence
Usage Intelligence helps explain how the product is being used.
The site mockup presents usage intelligence as a product analytics layer that helps admins and VU-QC understand adoption, workflow value, and opportunities to improve onboarding.
VU-QC records usage events such as:
- Questions asked
- Modules used
- Actions created
- RFIs generated
- Documents analyzed
- Common issue types
- Project risk themes
- User roles interacting with each feature
- Improve onboarding
- Identify most valuable modules
- Recommend next actions
- Help admins understand adoption
- Help VU-QC improve product workflows
Privacy statement: Customer documents remain private. Usage analytics can be anonymized and permission-controlled.
Usage Intelligence Dashboard
421
118
Design + Contract
Coordination
RFI + Obligation
PM / QA / Surety
Usage trend
Mock event growth across product modulesRecommended focus
Improve onboarding for newer project roles
Expand Design Review to more active projects
Address repeat questions around drawing change control
Privacy and control
Designed to help teams work faster without claiming uncontrolled automation.
The AI Agent is described as a project assistant that helps teams understand documents, draft actions, and identify patterns. It does not replace engineers, and confidential documents are not used for training without permission.
Permission-aware usage model
Usage analytics can be anonymized and permission-controlled. Recommended actions remain reviewable before execution.
Cross-platform assistant
The same assistant experience can appear across the website and app to guide pilots, onboarding, and in-product adoption.