How can AI be used in construction draw inspections?
AI can help identify incomplete submissions, organize photographs, summarize observations, compare documents, detect inconsistencies and prepare reports. It should support the inspection and review process rather than independently determine whether funds must be released.
See how RAZE uses AI in draw inspections→Can AI determine construction progress from photographs?
AI can assist by recognizing visible construction stages and identifying potential inconsistencies. However, photographs may lack context or complete site coverage. Progress estimates should remain supported by structured field capture and appropriate human review.
See how RAZE uses AI in draw inspections→Can AI approve a construction draw?
RAZE does not position AI as the final funding authority. The lender or authorized reviewer remains responsible for draw decisions. AI can organize evidence, surface exceptions and accelerate review within lender-defined controls.
See how RAZE uses AI in draw inspections→How should AI exceptions be handled?
When information is missing, contradictory or outside established rules, the system should route the case to a human reviewer. The exception, supporting evidence, recommendation and reviewer decision should remain documented.
See how RAZE uses AI in draw inspections→How can AI-assisted draw reviews remain audit-ready?
Every AI-generated observation or recommendation should be traceable to source information such as photographs, responses, budgets or project documents. Human approvals, corrections and overrides should also be recorded.
See how RAZE uses AI in draw inspections→Does AI replace the field inspector?
No. AI can reduce administrative work and improve consistency, but it cannot automatically replace physical access, situational judgment and independent field observation for every inspection.
See how RAZE uses AI in draw inspections→