What does the audit actually cover?

We review four core areas: code quality and logic integrity, database architecture and query performance under load, security posture covering authentication, authorization, and data exposure risks, and infrastructure configuration across your cloud environment (AWS, Azure, or GCP). You receive a written report with findings categorized by severity and estimated remediation effort for each item.

How do you complete a thorough review in 48 hours?

We assign senior engineers who specialize in your specific stack from day one, no generalist ramp-up. Our assessment framework is structured and refined across dozens of prior audits, which means we know exactly where to look and what patterns to prioritize. If we find something critical mid-review that can’t wait, we contact you directly rather than holding it for the final report.

Do I have to use DBot to fix what you find?

No. The audit report is yours to act on however you choose, with your internal team, another agency, or DBot. We write the findings in plain language that any qualified engineer can understand and act on. There is no obligation to engage us for remediation.

Is my codebase kept confidential?

Yes. Every audit engagement begins with a signed NDA before any access is shared. Your code, architecture, and infrastructure details are not retained beyond the engagement and are never shared with third parties.

What if the AI-generated code turns out to be fundamentally flawed, is a fix even feasible?

In most cases, yes, and the audit will tell you exactly what you’re dealing with. We distinguish between issues that require targeted fixes, areas that need architectural adjustment, and (rarely) components that would be more efficient to rebuild. You’ll have a clear picture of scope and effort before committing to anything.

AI Application Audit. Clear Assessment in 48 Hours.

Is Your AI-Built App Ready for Production?

You moved fast. You used AI to build your application, and now it's time to ship. But somewhere between the generated code and the go-live button, doubt creeps in: Is this actually production-ready? Are there security gaps you haven't seen yet? Will the database hold under real load? These aren't hypothetical questions, they're the difference between a successful launch and a critical failure in front of your first real users. DBot Software's engineers review your codebase, database architecture, security posture, and infrastructure configuration end to end. Within 48 hours, you receive a structured assessment: what's solid, what's critical, estimated remediation effort, and clear next steps. No commitment required. Don't let uncertainty delay your launch, or worse, let a preventable issue derail it post-launch.

Book Your 48-Hour Audit

Internal discussion of DBot team members to find the best AI solution for a client project

/The Challenge/

AI-Generated Code Ships Fast, But Not Always Safely

AI coding tools are remarkable at generating functional-looking code quickly. The problem is that functional-looking and production-ready are not the same thing. AI-generated applications routinely contain subtle but serious issues: authentication logic that passes basic tests but breaks under edge cases, database schemas that perform well at low volume and collapse at scale, API endpoints with insufficient input validation, infrastructure configurations that leave sensitive data exposed, and dependency trees with known vulnerabilities. Most development teams don't discover these issues during build, they discover them after launch. A single security incident or production outage at the wrong moment can cost far more than any development savings. The faster you built, the more important it is to verify what you actually have before it goes live.

Client retention

On time delivery

Industries Trusting Our Solutions

NDA Included

Strict adherence to confidentiality

IP Rights Secured

All Intellectual Property belongs to you

/Our Approach/

The Cost of Shipping Blind Is Higher Than You Think

Launching an unreviewed AI-generated application is a calculated risk, but most teams don't know what they're actually risking. A misconfigured cloud storage bucket exposes user data. A poorly indexed database grinds to a halt at 10x traffic. An overlooked injection vulnerability becomes a breach six months after launch. Beyond the direct costs, there's the damage to client trust and the time your team loses firefighting instead of building. On the other side of this: teams who audit before launch know exactly what they're shipping. They fix what matters, document what's sound, and go live with confidence. The 48-hour window isn't a luxury, it's the difference between a controlled launch and an uncontrolled incident.

/Why DBot/

DBot Engineers Have Seen What AI Misses

DBot Software is an official MedusaJS Expert Partner with offices in Frankfurt and Bangkok, combining German engineering standards with the execution speed of an elite development team. Our engineers have reviewed and rebuilt applications across 12+ industries, from logistics platforms handling complex freight networks to retail systems processing thousands of daily transactions. We know the patterns AI tools consistently get wrong: the security shortcuts, the scalability assumptions, the infrastructure defaults that work in development and fail in production. When we audit your application, we're not running automated scanners and calling it done. We're applying the same engineering judgment we use when building enterprise systems from scratch, and we tell you exactly what we find, in plain language.

Proven Engineering Standards, Not Just a Checklist

With a 94% client retention rate and 100% on-time delivery record, DBot's engineers are accountable for outcomes, not just outputs. Our audit methodology covers the four dimensions that actually determine production readiness: code quality and logic integrity, database architecture and query performance, security posture across authentication, authorization, and data handling, and infrastructure configuration for reliability and cost efficiency. You receive a written report structured around severity, critical, moderate, and informational, with estimated effort to remediate each finding. No vague recommendations. No upsell buried in the findings.

End-to-End Review With Full Confidentiality

Every engagement begins with a signed NDA. Your codebase, architecture diagrams, and infrastructure details stay completely confidential. Our review covers everything from the application layer down to deployment configuration, whether you're running on AWS, Azure, or Google Cloud. We examine not just what the code does, but what it does under stress, under adversarial input, and at production scale. The deliverable is a structured assessment document you can act on immediately or hand to any development team, including your own. No dependency on DBot to interpret the findings.

Built for Speed Without Sacrificing Depth

48 hours is a real commitment, not a marketing claim. Our review process is designed for exactly this constraint: senior engineers who specialize in the specific technology stack you're running, a structured assessment framework refined across dozens of audits, and direct communication if we identify something critical mid-review that can't wait for the final report. If you're on a tight launch timeline, you don't have to choose between speed and confidence. You can have both.

/Get Started/

Start Your Audit, No Commitment Required

Share your repository access and infrastructure details, and our engineers begin within one business day. Within 48 hours you'll have a structured written assessment covering code quality, database architecture, security posture, and infrastructure configuration, including severity ratings and estimated remediation effort for every finding. The audit is a fixed-scope engagement with no obligation to continue. Book a free 20-minute scoping call to confirm your stack qualifies and get a quote. Our team is available across European and Asian time zones, so you're never waiting long for a response.

/What’s at Stake/

What Happens If You Skip the Audit

The most common objection we hear is we don't have time. The teams who've skipped the audit and launched anyway have a different perspective after a production incident. A security breach in the first 90 days of operation doesn't just cost money to fix, it costs client trust that's rarely fully recovered. An application that works in staging and fails under real traffic creates a scramble that consumes the entire development roadmap for weeks. DBot's audit is designed to surface these risks before they become incidents. Our 100% on-time delivery record means you won't be waiting past the 48-hour window. And if we find nothing critical, that's a valuable result too. You launch knowing your foundations are sound.

Schedule a Free Scoping Call

/Proven Results/

94% Client Retention. 100% On-Time Delivery.

DBot Software’s client retention rate isn’t a vanity metric, it reflects what happens when engineering work is done right the first time. Our clients include enterprise logistics firms, international retail platforms, and education providers across 12+ industries. They return because the work holds up. Häfele reduced supply chain workload by 60% and cut stock shortages by 30%. DD Bricks achieved $500K in annual savings through a hybrid B2C and B2B commerce platform we built and continue to support. Alpega improved freight matching accuracy to 85% with a 23% reduction in operating costs. These outcomes are the result of engineering decisions grounded in evidence, the same approach we apply to every audit engagement.

Real Outcomes From Teams Who Built Right

The pattern across our most successful client engagements is consistent: the teams that invested in technical validation early moved faster and more confidently in every phase that followed. DD Bricks didn't just save $500K annually, they launched a commerce platform that scaled without architectural rework. Alpega didn't just hit 85% freight matching accuracy, they built on a foundation that absorbed 3x the original load without re-engineering the core. RIS Swiss School eliminated 60% of administrative workload because the platform integration was done correctly the first time. These aren't exceptional outcomes. They're what happens when you build on a foundation that was properly reviewed before it mattered.

Griffwerk

Griffwerk: Redefining Efficiency and Cost Reduction in the Door Industry

Enhance operational efficiency and reduce costs.
Griffwerk partnered with DBot to integrate intelligent automation and software solutions into their processes. This collaboration focused on streamlining workflows through Robotic Process Automation (RPA) and Python-based automation, ensuring greater accuracy, speed, and cost-effectiveness in daily operations.

Read case study

Heicko

Heicko e-ast GmbH: Streamlining CRM and ERP Systems with DBot Solutions

To enhance efficiency and automation, Heicko e-ast GmbH partnered with DBot to optimize their CRM and ERP systems.
By streamlining sales processes and automating key operations, DBot helped Heicko reduce manual workload, improve data accuracy, and enhance sales performance. Through intelligent automation, including RPA and API integrations, Heicko’s operations became more agile and scalable.

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Häfele

Hafele's Digital Transformation: Intelligent Automation in the Furniture and Hardware Industry

DBot partnered with Häfele to drive a large-scale digital transformation through intelligent automation.
The collaboration spanned various projects, from custom software solutions to automation enhancements. One of the key achievements was the overhaul of Häfele's purchase order system using cutting-edge OCR (Optical Character Recognition) and RPA (Robotic Process Automation) technologies.

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RIS Swiss Section Bangkok

RIS Swiss Section Bangkok: 60-Year Legacy in Digital Transformation for Education

60-Year Legacy in Digital Transformation for Education.
RIS Swiss Section Bangkok, a renowned German language school, embarked on a comprehensive digital transformation journey in collaboration with DBot. This marked a significant milestone in the institution's legacy, a commitment to embracing cutting-edge technology and enhancing the educational experience.

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DD Bricks

DD Bricks: Revolutionizing E-Comm with a Customized ERP System

Revolutionizing E-Comm with a Customized ERP System.
DD Bricks, the global leader in e-commerce for pre-owned Lego components, embarked on a transformative journey to enhance its operations and solidify its position in the dynamic Lego marketplace. They partnered with DBot to create a tailored ERP system, a game-changing move in the world of Lego commerce.

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Alpega

Alpega Group: Enhancing Transport Management Software Excellence

Enhancing Transport Management Software Excellence.
Alpega is a leading global logistics software company that offers end-to-end solutions that cover all transport needs, including transport management services (TMS) and freight exchanges. Dive into the challenges faced, innovative solutions implemented, and the transformative results achieved in the logistics software sector.

Read case study

Common Questions About the Audit Process

Here are the questions we hear most often from teams considering a pre-launch audit. If your question isn't covered below, our team is available for a free scoping call to walk through your specific situation.

What does the audit actually cover?
We review four core areas: code quality and logic integrity, database architecture and query performance under load, security posture covering authentication, authorization, and data exposure risks, and infrastructure configuration across your cloud environment (AWS, Azure, or GCP). You receive a written report with findings categorized by severity and estimated remediation effort for each item.
How do you complete a thorough review in 48 hours?
We assign senior engineers who specialize in your specific stack from day one, no generalist ramp-up. Our assessment framework is structured and refined across dozens of prior audits, which means we know exactly where to look and what patterns to prioritize. If we find something critical mid-review that can’t wait, we contact you directly rather than holding it for the final report.
Do I have to use DBot to fix what you find?
No. The audit report is yours to act on however you choose, with your internal team, another agency, or DBot. We write the findings in plain language that any qualified engineer can understand and act on. There is no obligation to engage us for remediation.
Is my codebase kept confidential?
Yes. Every audit engagement begins with a signed NDA before any access is shared. Your code, architecture, and infrastructure details are not retained beyond the engagement and are never shared with third parties.
What if the AI-generated code turns out to be fundamentally flawed, is a fix even feasible?
In most cases, yes, and the audit will tell you exactly what you’re dealing with. We distinguish between issues that require targeted fixes, areas that need architectural adjustment, and (rarely) components that would be more efficient to rebuild. You’ll have a clear picture of scope and effort before committing to anything.