This video covers how to verify BIM deliverables and improve quality assurance using proactive ISO 19650 model checking workflows. The written guide below explains why traditional manual QA happens too late, how structured requirements enable self-quality assurance before formal submission, and how visual verification with colour-coded feedback helps teams deliver right the first time.
Why proactive verification replaces reactive issue reporting
On most projects, quality assurance is reactive. Models get built, shared, and sometimes even coordinated before anyone checks whether they actually meet the contract information requirements. The typical workflow involves manual checking against spreadsheets, creating long issue lists or BCF reports, sending them back to the authoring teams, waiting for fixes, and repeating the cycle. That process is slow, expensive, and catches problems far too late in the delivery chain. A model can pass clash detection and still be missing half of the required asset information, structural components, or property data that was agreed in the scope.
The problem is that traditional checking focuses on reporting problems after the fact rather than preventing them. Even BCF-based workflows, while better than PDF issue reports, are still reactive. They create issues after a deliverable has already been submitted, then pass them back and forth between teams in a feedback loop that consumes hours of effort on both sides. The teams creating the deliverables often have no clear way to check their own work against the actual contracted requirements because those requirements are buried in disconnected spreadsheets or PDFs that are not linked to the models.
A proactive verification workflow changes this dynamic entirely. When requirements are defined as structured, machine-readable rules from the start, and those rules are tied directly to the contracted scope, teams can check their own deliverables before anyone else needs to see them. In the Verify module, models can be uploaded or connected through a CDE and automatically checked against the information requirements that were defined in the scope. The results are shown visually on the 3D model itself: green for properties that pass, red for missing data, and yellow for values that are incorrect or need attention. Teams can click directly on any element to understand what is missing and fix it immediately, turning quality assurance from an after-the-fact audit into a self-check that happens as part of the creation process.
This self-QA approach means that by the time a deliverable reaches formal review, the team has already verified it against the contracted requirements. The reviewer’s role shifts from finding problems to confirming compliance, which is a fundamentally different and far more efficient workflow. When every deliverable is linked to its contracted task and the verification results are tracked through a Kanban board with statuses like proposed, pending, verified, and approved, the entire project gains visibility into what is ready, what needs work, and what has been formally accepted.
How to set up proactive verification
- Define verification rules from your scope – Create structured checking rules based on the information requirements already defined in your scope. For example, every wall must have a fire rating, every mechanical unit must include a manufacturer property, or spaces must contain an occupancy classification.
- Link rules to contracted tasks – Connect the verification rules to the specific line items in the scope grid so that every check traces back to what was contractually agreed rather than an arbitrary checklist.
- Upload or connect deliverables – Upload models directly or connect through Autodesk Construction Cloud or other CDEs so that deliverables are available for automated checking without manual file transfers.
- Run verification checks – Execute the model checking workflow to automatically compare model content against the defined rules and display results visually on the 3D model.
- Enable self-QA for authoring teams – Give delivery teams access to run their own verification so they can see green, red, and yellow results, fix issues proactively, and recheck before submitting for formal review.
- Track deliverable status on the Kanban board – Use the Kanban board to move deliverables through statuses as they progress from proposed to verified to approved, giving everyone real-time visibility into QA progress.
- Review and approve verified deliverables – When deliverables arrive for formal review already verified, the reviewer confirms compliance rather than discovering issues, dramatically reducing review cycles and rework.
What you’ll learn
- Why manual QA fails – How reactive checking with spreadsheets, issue lists, and coordination meetings catches problems too late and creates expensive rework cycles.
- Clash-free is not enough – Why a model that passes geometric coordination can still fail to meet contract information requirements, and how structured checking addresses both.
- Self-quality assurance – How empowering authoring teams to verify their own deliverables against contracted requirements eliminates the back-and-forth feedback loop.
- Visual verification feedback – How colour-coded results on 3D models make it immediately clear what passes, what is missing, and what needs correction.
- Proactive over reactive – How defining requirements clearly upfront and checking early reduces waste, rework, and downstream blockers across the project.
Common questions
How is this different from traditional clash detection?
Clash detection checks whether model elements physically intersect. It does not check whether the model contains the correct properties, values, classifications, or information that was contractually required. Proactive verification checks the model content against your information delivery specifications and scope requirements, which covers a much broader range of compliance than geometry alone. Ideally, teams use both approaches together: clash avoidance through proper sequencing and information verification through structured rule checking.
Can authoring teams run their own checks without access to the full project?
Yes. Teams can be given access to verify only their own deliverables against the requirements assigned to them. They see the verification results for their scope without needing visibility into other teams’ models or tasks. This encourages ownership of quality at the source, where fixing issues is fastest and least expensive.
What types of rules can be created for verification?
Rules can check for the presence or absence of properties, validate specific values against predefined lists, confirm that elements belong to the correct classifications, and verify that property values match required patterns. These rules are tied to the information requirements defined in scope and can even use AI-assisted pattern matching to define acceptable value ranges for complex properties.
Does this replace the need for coordination meetings?
It does not replace coordination meetings entirely, but it dramatically reduces what those meetings need to cover. When deliverables arrive already verified against the contracted requirements, coordination can focus on design intent, spatial conflicts, and cross-discipline alignment rather than spending time identifying missing properties and information gaps that should have been caught earlier in the workflow.
Explore further
- Verify: task tracking, model checking, and quality assurance – Full help centre collection covering all Verify module features.
- BIM quality software – How dedicated quality software improves model compliance and reduces manual checking effort.
- BIM verification and COBie handover in one seamless workflow – How verification connects to handover and asset data delivery.
- Part 6: Exporting reports and managing the final handover – Continue to the next lesson on closing the loop with reports and structured handover.