Company Profile
Company Type
Growing SaaS company
Team Size
50-200 employees
Industry
SaaS
Key Challenge
Struggling with inefficient manual compliance checking processes that were slowing growth and increasing operational costs. Their primary concern was trial-to-paid conversion.
Tools Connected
The Challenge
This growing saas company had reached a breaking point with their manual compliance checking process. With 50-200 employees managing daily saas operations, the team was spending an average of 25+ hours per week on repetitive compliance checking tasks that added no strategic value. The workload was unsustainable, and errors were becoming more frequent as volume grew.
The consequences extended beyond wasted time. In their saas business, delayed compliance checking created a cascade of downstream problems — missed deadlines, frustrated stakeholders, and data quality issues that undermined decision-making. The team had tried hiring additional staff, but the cost was prohibitive and training new employees on their complex saas processes took months. They needed a solution that could handle their current volume and scale with their growth, without requiring a proportional increase in headcount.
The Solution
The team selected Arahi AI to automate their saas compliance checking workflow end-to-end. Implementation began with connecting their core tools — HubSpot, Slack, and Notion — to the Arahi AI platform. Using the no-code builder, they configured AI agents that replicate their best-performing team member's decision-making process, but at machine speed and consistency.
The AI agents handle every step of the compliance checking process: receiving incoming requests or triggers, analyzing the context using saas-specific rules, making intelligent routing decisions, executing the core actions, and notifying the right stakeholders. What previously required 45+ minutes of manual work per instance now completes automatically in under 2 minutes. The agents also learn from corrections, continuously improving their accuracy. The team connected Jira for tracking and reporting, giving leadership real-time visibility into compliance checking performance metrics for the first time.
The Results
Measurable improvements across key saas 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)
“Before Arahi AI, our compliance checking process was the bottleneck that every saas team complained about. Now it's our competitive advantage. We process faster, more accurately, and at a fraction of the cost. Our competitors are still doing this manually.”
Head of Strategy
Growing SaaS company
Key Takeaways
The most important lessons from this saas compliance checking automation project.
AI-powered compliance checking automation eliminated 88% of manual processing time for this saas team, freeing staff to focus on high-value strategic work.
Implementation took less than a day — the no-code approach meant no IT bottleneck or months-long development cycle.
Error rates dropped by over 90%, significantly improving data quality and downstream decision-making.
The ROI was realized within the first month, with the solution paying for itself multiple times over through cost savings and productivity gains.
Implementation Timeline
From zero to production in 3 hours — here's how they did it.
Step 1: Connected saas tools to Arahi AI
Integrated HubSpot, Intercom, and Stripe with Arahi AI using pre-built connectors — no API keys or custom code required. The team verified data flow between systems in under 15 minutes.
Step 2: Configured AI agent business rules
Defined the saas-specific rules for compliance checking: scoring criteria, routing logic, escalation thresholds, and exception handling. The team used Arahi AI's visual rule builder to translate their existing process into automated workflows.
Step 3: Tested with live saas data
Ran the AI agents on a week's worth of historical compliance checking data to validate accuracy and identify edge cases. Made minor adjustments to scoring weights and routing rules based on the results.
Step 4: Launched and monitored
Deployed the AI agents to production with the entire team notified via Jira. Monitored the first 48 hours closely, confirming 99%+ accuracy before reducing oversight to weekly reviews.
Setup Time
3 hours
AI Agents
2 AI agents
Tools Connected
5 integrations
Frequently Asked Questions
Common questions about automating compliance checking in saas.
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This case study represents a typical customer scenario. Individual results may vary.