Company Profile
Company Type
Specialty healthcare practice
Team Size
50-200 employees
Industry
Healthcare
Key Challenge
Struggling with inefficient manual compliance checking processes that were slowing growth and increasing operational costs. Their primary concern was patient data security.
Tools Connected
The Challenge
Manual compliance checking was the biggest bottleneck in this specialty healthcare practice's operations. Their team of 50-200 employees processed hundreds of compliance checking requests weekly, each requiring multiple steps, cross-referencing against healthcare-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 healthcare. 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 healthcare 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 Epic and Kareo. The second agent analyzes and processes incoming requests using healthcare-specific business logic. The third agent executes actions across connected tools and notifies team members via Slack.
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 healthcare 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 healthcare 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)
“The difference is night and day. Our healthcare clients used to wait days for compliance checking to be completed. Now it happens in minutes, and the quality is consistently higher than what we achieved manually. Customer satisfaction scores went through the roof.”
VP of Customer Success
Specialty healthcare practice
Key Takeaways
The most important lessons from this healthcare compliance checking automation project.
This healthcare team proved that compliance checking automation doesn't require technical expertise — the no-code platform made it accessible to business users.
Scaling compliance checking capacity by 10x without adding headcount fundamentally changed the economics of their healthcare operations.
Consistent AI-powered processing eliminated the quality variance that came with different team members handling compliance checking differently.
Real-time visibility into compliance checking metrics gave leadership the data they needed to make better strategic decisions.
Implementation Timeline
From zero to production in Half a day — 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 Epic and Athenahealth as data sources, configured AI decision logic for healthcare-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
Half a day
AI Agents
4 AI agents
Tools Connected
5 integrations
Frequently Asked Questions
Common questions about automating compliance checking in healthcare.
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