How Soraban Reclaimed 2+ Hours Weekly and Blocked 5 Monthly Vulnerabilities using Optibot
Soraban replaced noisy, false-positive-heavy legacy tools with an Senior Engineering code review agent, enabling them to ship at high velocity during their busiest season without compromising security.
saved / engineer / week
2+ Hours
Time reclaimed from first-pass reviews and false positive triage
vulnerabilities caught / month
3–5
Real security issues flagged before merge without noise
per incident avoided
$10K+
Savings per severe incident by preventing security escalations that typically require 100+ person-hours.
See why engineering leaders at high growth companies use Optimal AI
Optibot gives you a senior engineer who is very, very thorough, looking through everything in virtually no time. It feels like another individual giving a review.
Sean Coleman
Head of Security & Compliance, Soraban
Soraban provides AI-powered tax workflow software that automates manual labor for accountants, streamlining the entire lifecycle from data intake to tax return delivery.
Industry
Fintech / Accounting Tech
Company size
11–50 (Series A)
Pain point
Seasonal traffic spikes (Jan–April); noisy SAST tools; high false-positive rates; manual security bottlenecks.
Product used
Optibot (AI Code Review Agent)
Location
United States
Quick metrics
2+ Hours saved/week/engineer
3–5 Vulnerabilities caught/month
$10K+ in potential costs avoided
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The Problem
Manual security reviews couldn't keep up with 10x seasonal traffic
From January to April, Soraban's platform handles 10x its normal traffic load. The engineering team is pushing code constantly and every PR was going through a manual, human-based review.
When they tried to automate it with SAST tools, the false positives were so bad they were pulling time away from the team rather than saving it. And none of the tools could see beyond the PR itself. If new code broke something two modules away, nothing caught it.
One missed vulnerability could take 50–100 person-hours to remediate. $10,000+ per incident.
We've tried and tested a handful of tools that ultimately didn't produce very consistent results... just the amount of false positives was pulling a lot of time away from the team.
Sean Coleman
Head of Security & Compliance, Soraban
Soraban stores and processes sensitive financial data for accountants. A security incident doesn't stay in engineering. It pulls in developers, the security team, operations, and customer success. Sean's estimate: 50 to 100 person-hours per incident, with a total cost of $10,000 or more and that's for incidents that could realistically have been caught at the PR stage.
The existing tools weren't catching them. They were too scoped, too noisy, and too blind to anything outside the exact lines of a pull request. If new code inadvertently broke something two modules away, nothing flagged it.
The Solution
Optibot replaced manual reviews and noisy SAST tools in one GitHub integration
Soraban integrated Optibot directly into their GitHub workflow. It reviews every PR automatically, leaving precise, line-by-line comments like a senior engineer.
The aha moment: Optibot flagged an issue where technically correct new code was silently breaking something in a related part of the codebase, something outside the PR entirely, that no human reviewer had caught.
Optibot comes in very surgically, leaves comments in context of specific lines of code... It fits into our natural workflow. It has effectively filled the gap for us as our primary SAST tool.
Sean Coleman
Head of Security & Compliance, Soraban
Soraban dropped their separate SAST tools entirely. Optibot now covers code quality, bug catching, and security review all natively inside GitHub.
The Results
2+ hours back per engineer. 3–5 threats stopped per month. Zero tool sprawl.
Standardizing on Optibot allowed Soraban to maintain high shipping velocity without sacrificing security or exhausting their senior staff.
- 3–5 Monthly Deflections: Optibot consistently identifies 3 to 5 security vulnerabilities every month before they merge, preventing potential incidents that could cost $10,000+ in remediation.
- 2+ Hours Saved per Engineer: Each developer saves at least two hours a week by eliminating surface-level reviews and chasing false alarms.
- Seamless Adoption: Because Optibot communicates like a human reviewer, the engineering team experienced zero resistance to the tool. It is now an integral part of their SOC 2 compliance and PR process.
The new code we were introducing didn't have any issues directly, but it did impact related code and Optibot was able to reach into that side of things and flag it. That's when I started to see the power of Optibot.
Sean Coleman
Head of Security & Compliance, Soraban
You can drive very fast and dangerously, but you might not always arrive in one piece. Optibot provides that reassurance that we are shipping secure code at speed.
Sean Coleman
Head of Security & Compliance, Soraban
The Impact in Numbers
Before and after metrics for Soraban’s team using Optimal AI
Real numbers verified by the leaders using the tech
Metric
Before
After
Improvement
Review Overhead
Before Insights
Slow, manual pass
After Insights
Instant, AI-led pass
2+ Hours Saved / Engineer
Vulnerability Detection
Before Insights
Human-dependent
After Insights
24/7 AI Guardrails
3–5 Catches / Month
Signal-to-Noise
Before Insights
High False Positives
After Insights
Surgical & Contextual
Eliminated Alert Fatigue
Security Risk
Before Insights
High during peak season
After Insights
Hardened CI/CD
Avoided $10k+ Incident Costs
Team Integration
Before Insights
Friction with clunky tools
After Insights
Agentic/Human UX
100% Team Buy-in
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