Y26-03-RFI_AI-Assisted_Perrmitting_Pre-Check_&_Plan_Review_Triage.pdf

Issue Date: March 17, 2026

ORANGE COUNTY FLORIDA

PROCUREMENT DIVISION

REQUEST FOR INFORMATION #Y26-03-RFI

FOR

AI-ASSITED PERMITTING PRE-CHECK & PLAN REVIEW TRIAGE

Copies of this Request for Information document may be obtained from Orange County by download at: https://secure.procurenow.com/portal/orangecountyfl

SUBMISSION DUE DATE:

Electronic responses will be accepted up to 4:00 PM (local time), Tuesday, March 31, 2026, via the electronic procurement portal referenced above.

Electronic submissions are required to be made through the OpenGov Procurement portal only at:

https://secure.procurenow.com/portal/orangecountyfl.

NOTICE TO RESPONDENTS:

Your point-of-contact for this solicitation is Patricia Rigby, Buyer at Patricia.Rigby@ocfl.net.

OVERVIEW:

Orange County, Florida is exploring artificial intelligence tools to improve permitting efficiency and reduce incomplete application submissions. The County seeks information from vendors capable of providing AI-assisted document review and automated submission completeness checks.

NO AWARD WILL BE MADE FROM THIS SOLICITATION.

THIS IS A REQUEST FOR INFORMATION ONLY

https://secure.procurenow.com/portal/orangecountyfl mailto:Patricia.Rigby@ocfl.net

REQUEST FOR INFORMATION

RESPONSE FORM AND MARKET/PRODUCT QUESTIONNAIRE

RESPONSE FORM

THE FOLLOWING SECTION MUST BE COMPLETED BY ALL RESPONDENTS:

Company Name:

(Street No. or P.O. Box Number) (Street Name) (City)

(County) (State) (Zip Code)

Contact Person:

Phone Number:

Email Address:

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MARKET/PRODUCT QUESTIONNAIRE

1. VENDOR BACKGROUND AND EXPERIENCE

a. Describe your organization’s experience implementing AI or automated review tools for building permits, planning applications, or regulatory compliance workflows.

b. Identify local, county, or state government clients where similar solutions have been deployed.

c. Provide case studies or references demonstrating improvements in permitting efficiency, cycle times, or submission accuracy.

d. What types of permit categories has your solution supported (e.g., building, zoning, site development, environmental permits)?

2. SYSTEM CAPABILITIES

Document and Plan Review

a. Describe how your solution analyzes construction plans, site plans, or permit application documents for completeness.

b. What types of file formats can your system analyze (PDF, CAD, BIM, GIS, scanned drawings)?

c. Can the solution automatically detect:

o Missing sheets or documents o Incorrect application forms o Incomplete data fields o Inconsistent plan elements

d. Does the solution support automated checklist validation against local codes or submission requirements?

AI Plan Triage

e. Describe how the system prioritizes applications based on complexity or completeness.

f. Can the solution flag applications that are ready for review vs. those requiring corrections?

g. Does the system produce automated applicant feedback (“fix-it list”) prior to formal review?

3. INTEGRATION WITH COUNTY SYSTEMS

a. Describe how your solution integrates with existing permitting systems (e.g., Accela, Tyler EnerGov, AMANDA, Cityworks, or similar platforms).

b. Can the system integrate with document management systems and GIS platforms?

c. Does the solution support API-based integration with county systems?

d. Can the system ingest historical permit data to improve accuracy or training?

4. AI MODEL TRANSPARENCY AND GOVERNANCE

a. What AI technologies or methodologies power the system (e.g., machine learning, computer vision, natural language processing)?

b. How does the system ensure accuracy and consistency in automated plan checks?

c. What mechanisms allow human reviewers to validate or override AI recommendations?

d. How does the system handle model training and updates when local codes change?

e. Describe your approach to bias mitigation, explainability, and responsible AI governance.

5. SECURITY AND COMPLIANCE

a. Describe how your solution complies with government cybersecurity standards.

b. What data protections exist for sensitive development plans or proprietary construction documents?

c. Does the platform support FedRAMP, SOC 2, CJIS, or other relevant certifications?

6. IMPLEMENTATION AND DEPLOYMENT

a. What is the typical implementation timeline for a county-scale deployment?

b. What level of configuration or training data is required to adapt the solution to local permitting rules?

c. What staff roles are typically involved during implementation?

d. What training is provided for plan reviewers, permitting staff, and administrators?

7. EXPECTED BENEFITS AND PERFORMANCE METRICS

a. Based on your experience, what percentage reduction in incomplete applications or resubmittals has been observed?

b. What impact has the solution had on permit cycle times?

c. What metrics are typically used to measure success of automated plan review tools?

8. COST AND PRICING INFORMATION

a. Provide estimated cost ranges for implementation for a jurisdiction processing approximately 100k permits annually.

b. Describe your pricing model (license, subscription, per-permit, or usage-based).

c. Identify any ongoing operational or support costs.

9. INNOVATION AND FUTURE CAPABILITIES

a. Describe any emerging features such as:

o automated zoning checks o AI-based code compliance validation o 3D model review or BIM integration o digital twin integration

b. How could this solution expand beyond permitting to support planning, inspections, or environmental review processes?

10. PILOT PROGRAM OPPORTUNITIES

a. Would your organization support a pilot deployment with a limited set of permit types?

b. What data or resources would be required from the county to conduct a pilot?

c. What metrics would you recommend to evaluate pilot success?

REQUEST FOR INFORMATION #Y26-03-RFI