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Case StudyReal EstateCompliance Checking

Real Estate Compliance Checking Automation Case Study

This real estate case study shows how AI-powered compliance checking automation delivered 93% faster improvement in audit preparation time and From weeks to seconds in violation detection speed.

Company Profile

Company Type

Boutique real estate agency

Team Size

15-75 agents

Industry

Real Estate

Key Challenge

Struggling with inefficient manual compliance checking processes that were slowing growth and increasing operational costs. Their primary concern was lead response time.

Tools Connected

MLSZillowFollow Up BossHubSpotDocuSign
Setup Time90 minutes
Agents Deployed3 AI agents

The Challenge

Manual compliance checking was the biggest bottleneck in this boutique real estate agency's operations. Their team of 15-75 agents processed hundreds of compliance checking requests weekly, each requiring multiple steps, cross-referencing against real estate-specific requirements, and coordination between departments. The average compliance checking request took 45 minutes to complete manually, and the backlog was growing by 15% each quarter.

Beyond the time drain, the quality of their compliance checking output was inconsistent. Different team members followed different procedures, and there was no standardized way to handle edge cases that are common in real estate. A recent audit revealed that 12% of completed compliance checking records contained errors that required rework — costing the organization an additional $50K annually in correction and remediation efforts. The leadership team recognized that continuing to throw people at the problem wasn't viable and began searching for an AI-powered solution.

The Solution

Arahi AI provided the automation backbone this real estate team needed. They deployed a multi-agent workflow that breaks the compliance checking process into discrete, automated steps — each handled by a specialized AI agent. The first agent monitors triggers from MLS and HubSpot. The second agent analyzes and processes incoming requests using real estate-specific business logic. The third agent executes actions across connected tools and notifies team members via Gmail.

The beauty of the no-code approach was speed of implementation. The team had their first agent live within 90 minutes, and the full compliance checking workflow was operational within a single afternoon. They used Arahi AI's template for real estate compliance checking as a starting point, customized the business rules to match their specific process, and connected their existing tool stack without writing a single line of code. Within the first week, the agents had processed over 200 compliance checking instances with 99%+ accuracy — more than the team typically handled in a month.

The Results

Measurable improvements across key real estate compliance checking metrics.

Audit Preparation Time

93% faster

Before

3-4 weeks

After

< 2 days

Compliance Check Coverage

100% coverage

Before

60% of operations

After

100% continuous

Violation Detection Speed

From weeks to seconds

Before

Found during quarterly audit

After

Real-time alerts

Compliance Cost

85% savings

Before

$120K/year (consultants)

After

$18K/year (AI + oversight)

Regulatory Penalty Risk

Risk eliminated

Before

High (3 near-misses last year)

After

Low (zero findings)

What impressed me most was the setup speed. I expected a months-long implementation, but we had AI agents handling our real estate compliance checking workflow within a single afternoon. The no-code approach meant our team could configure everything themselves without waiting on IT.

Director of Business Operations

Boutique real estate agency

Key Takeaways

The most important lessons from this real estate compliance checking automation project.

Automating compliance checking in real estate delivered immediate, measurable results: faster processing, higher accuracy, and lower costs.

The key to success was connecting existing real estate tools to AI agents rather than replacing the entire tech stack.

24/7 automated processing eliminated backlogs and ensured consistent service quality regardless of volume fluctuations.

Starting with a pre-built template and customizing for real estate-specific requirements dramatically reduced time-to-value.

Implementation Timeline

From zero to production in 90 minutes — here's how they did it.

Step 1: Mapped the existing compliance checking workflow

Documented every step of the current manual compliance checking process, including decision points, exceptions, and handoffs between team members. Identified which steps could be fully automated versus those needing human oversight.

Step 2: Built the automation in Arahi AI

Used Arahi AI's no-code builder to create the compliance checking workflow: connected MLS and Follow Up Boss as data sources, configured AI decision logic for real estate-specific requirements, and set up automated actions and notifications.

Step 3: Parallel run with manual process

Ran the AI agents alongside the manual process for one week to compare outputs. The AI matched or exceeded human accuracy on 98% of compliance checking instances, with the 2% of edge cases automatically flagged for human review.

Setup Time

90 minutes

AI Agents

3 AI agents

Tools Connected

5 integrations

Frequently Asked Questions

Common questions about automating compliance checking in real estate.

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This case study represents a typical customer scenario. Individual results may vary.