Keep requirements visible
Check owner criteria, program needs, design documents, schedules, and specifications for possible gaps or contradictions.
Groundbook AI for real estate developers
Protect the pro forma from problems hidden in the plans.
Add an evidence-backed review across design documents, specifications, owner requirements, and code sources. Groundbook AI helps development teams surface risks while there is still time to protect scope, budget, and schedule.
Review any project size, type, or design milestone.
Protect project intentCompare design documents with owner, program, lender, and project requirements.
See risks in contextReview coordination and consistency findings with direct links to their sources.
Check every milestoneRun targeted reviews at concept, permit, bid, construction-document, or turnover stages.
An extra layer of project diligence
See more of the risk carried inside the document set.
Groundbook AI gives development teams a repeatable review across the documents that define scope and quality.
Find cost questions earlier
Surface design and specification mismatches that may affect materials, equipment, allowances, procurement, or change exposure.
Reduce downstream disruption
Identify coordination and constructability questions before they threaten permit, buyout, fabrication, or field progress.
What Groundbook AI checks
Project-wide coverage without waiting for a late-stage surprise.
Use a standard owner checklist across the portfolio or tailor the review to a project’s priorities and stage.
Owner and program requirements
Run development criteria, brand standards, lender requirements, program checklists, or project goals across the design set.
Design coordination
Compare architectural, structural, MEP, fire-protection, civil, landscape, and interiors documents for possible conflicts.
Drawings against specifications
Find materials, products, ratings, dimensions, equipment, and performance requirements that may not align.
Uploaded code-source review
Compare project documents with selected building-code PDFs and flag items that need a qualified reviewer’s attention.
A simple review workflow
Add review coverage without another consultant kickoff.
Upload a milestone package
Add the design set, specifications, development criteria, checklists, and relevant reference documents.
Select project priorities
Choose design coordination, requirement, specification, checklist, constructability, or code-source checks.
Review with the delivery team
Share source-linked findings with the architect, engineers, contractor, and owner representatives for verification.
Clearer diligence, accountable decisions
Bring the evidence to the people responsible for the answer.
Groundbook AI organizes possible issues so development teams can focus conversations. It does not replace the architect, engineer, contractor, code official, or owner representative.
- Source-linked findings for focused team review
- Portfolio-ready checklists and project-specific checks
- Pay-as-you-go and enterprise volume options
Built for the whole project team
See the project from every seat.
Questions, answered
What development teams ask.
At which project stages can developers use Groundbook AI?
Groundbook AI can review any uploaded document set. Teams can use it at design milestones, before permit or bid, during preconstruction, or when a focused project question needs broader document context.
Can we use the same owner checklist across multiple projects?
Yes. A repeatable owner, brand, program, lender, or delivery checklist can be uploaded and applied to each project’s documents.
Does Groundbook AI replace design or construction professionals?
No. It provides possible issues and source evidence for qualified review. Final design, engineering, construction, code, and ownership decisions stay with the responsible people.
Make document risk visible before it becomes project cost.
Set up an AI-assisted project review in about five minutes.