Architecture boundary
Approval boundary
Accepted progress observations remain separate from contractual, payment, engineering, and safety certification.
Progress evidence workflow
Connect dated site photos, 360 captures, drone imagery, drawings, BIM elements, locations, work packages, observations, and approved progress status into one auditable review flow.
Illustrative implementation pattern. These are real examples of working operating-layer patterns. What can be implemented in practice depends on authorized access, platform terms, data quality, security requirements, client participation, and agreed human-approval controls. Tools named in these patterns are possible components, not required products. Property, planning, tax, valuation, safety, biometric, engineering, and legal outputs require appropriate qualified review.
Why this workflow matters
Reality capture can provide strong evidence, but imagery and model comparison do not independently establish safety, code compliance, payment entitlement, or completed work. Capture context and accountable review must remain connected to every status update.
Architecture boundary
Accepted progress observations remain separate from contractual, payment, engineering, and safety certification.
Reference layer
These sources and tools are selected according to authority, permission, technical fit, security, and client ownership.
Mobile, 360 camera, approved drone provider, or an existing field application.
Autodesk Construction Cloud, BIM 360, Procore, or another approved system.
Approved photogrammetry, point-cloud, mesh, or reality-capture tools.
Tested computer vision for candidate object and progress detection.
PostgreSQL/PostGIS for capture, position, work area, model, observation, issue, claim, and approval records.
Object storage for original and derived media with approved project dashboards.
Ten-stage operating path
Each stage establishes a distinct decision, record, handoff, or approval boundary. Exceptions remain visible instead of being silently forced through the process.
Plan capture zones, frequency, permissions, and safety procedures.
Capture time, location, device, operator, and original media.
Register evidence to project, level, area, package, and model coordinates.
Process imagery into approved views, point clouds, meshes, or orthophotos.
Detect candidate installed elements, changes, obstructions, or missing evidence.
Compare observations with drawings, model elements, schedule, and prior captures.
Draft progress or exception observations with evidence links.
Review with the superintendent, project manager, or discipline lead.
Approve status updates separately from payment or contractual certification.
Publish the accepted progress record and retain the audit trail.
Required data layer
The implementation boundary should name each required record, relationship, source, status, permission, and owner before automation is introduced.
Capture
Camera Position
Work Area
Model Element
Observation
Progress Claim
Issue
Approval
Original Media
Evidence Link
Authority, source quality, permissions, uncertainty, and consequential external actions remain explicit throughout the workflow.
Acceptance measures
Acceptance measures test the reliability and governance of the workflow. They are evaluation criteria, not promised performance results.
Typical starting engagement
This is planning guidance for a bounded first implementation, not a quote. The Blueprint confirms systems, access, data condition, responsibilities, exclusions, acceptance, timing, and fixed price.
Workflow assessment
Confirm the current records, sources, permissions, owners, exceptions, approval points, and acceptance measures before selecting automation or AI tools.