Case Study – City and County of San Francisco

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Case Study

San Francisco Cuts Permit Reviews to Just 5 Days

City and County of San Francisco

The City and County of San Francisco Permit Center oversees housing permit approvals across the city. As housing demand increased and new legislation mandated accelerated permit reviews, the city sought a modern solution to improve efficiency, transparency, and citizen experience.

Industry

Public Sector

Challenge

California Assembly Bill 1114 imposed strict permit review deadlines on a historically manual, fragmented process, leaving under 45 days to comply.

Results

A fully digital permit completeness workflow, delivered in 45 days, cut reviews to an average of five days and beat the state requirement by ten.

Solutions

Outcomes

5 days

Average permit completeness review time

10 days

Faster than the state-required timeline

45 days

To design and deploy the digital workflow

60%

Application completeness rate achieved

Overview

When California Assembly Bill 1114 introduced strict permit review deadlines, the City and County of San Francisco faced an aggressive timeline to modernize a historically manual and fragmented process. DataBank partnered with the Permit Center to design and implement a fully digital permit completeness workflow in just 45 days, helping the city achieve compliance while dramatically improving review speed and citizen service.

Challenges

New state legislation required accelerated permit review timelines

Less than 45 days were available to design and deploy a new process

Manual, siloed reviews created inefficiencies and limited visibility

There was no structured data or performance tracking for permit reviews

Applicants experienced confusing, inconsistent review processes

Implementation

Assess Regulatory Requirements

DataBank collaborated with city stakeholders to understand Assembly Bill 1114 mandates and define workflow requirements, review timelines, and compliance objectives.

Design Digital Workflow

The team developed a new permit completeness process within OnBase, replacing manual review steps with standardized digital workflows and routing rules.

Enable Department Collaboration

Applications were automatically routed for concurrent review across as many as ten departments, reducing bottlenecks and improving coordination.

Automate Applicant Communication

Upon completion of reviews, OnBase automatically generated and delivered completeness letters containing consolidated review findings.

Launch and Optimize

The solution was successfully deployed by the January 1 deadline, followed by rapid enhancements based on stakeholder feedback during the first months of operation.

Key Takeaways

A 45-day build met a statutory deadline that could not move, and gave applicants a review time they can plan around.

Concurrent Review

Up to 10 departments review a single application at the same time

Deadline Met

Live by the January 1 statutory deadline set by Assembly Bill 1114

Predictable For Applicants

Completeness letters generated and delivered automatically with consolidated findings

Built On Structured Data

Review performance is now tracked and reported rather than estimated

Results

Faster, more predictable outcomes for permit applicants
A foundation that supports smarter decision making as permitting scales
An ongoing partnership to further accelerate housing delivery
Enhanced operational visibility through structured workflow data

Client Experience

“The ambitious timeline for our project didn’t faze our partners at DataBank. They collaborated with us to deliver a strong product on Jan. 1 and rapid follow-up releases in response to stakeholder feedback in January and February. DataBank’s partnership was absolutely integral to our success.”

Mandy Johnson
Strategic Programs Manager, City and County of San Francisco

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Learn how the City and County of San Francisco partnered with DataBank to address a critical challenge and deliver measurable results. This case study provides a clear overview of the problem, the solution, and result.

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