What does an AI app maintenance plan actually include?

Our plans cover dependency updates, security patching, uptime monitoring, performance optimization, incident response, and infrastructure scaling. Scope and SLAs are defined upfront based on your application’s complexity and criticality. You get a dedicated engineering contact, monthly reporting, and clear escalation paths, not a generic ticket queue.

How quickly can you take over maintenance of an existing AI-generated application?

Typically within one to two weeks. We begin with a free technical assessment to understand the codebase, identify immediate risks, and agree on a handover plan. For urgent situations, active security vulnerabilities or performance incidents, we can begin triage within 24 hours of first contact.

Is AI-generated code harder to maintain than hand-written code?

It can be. AI tools often produce inconsistent patterns, skip documentation, and miss edge cases. Our engineers are experienced in reviewing and stabilizing AI-generated codebases, normalizing patterns, adding test coverage, and refactoring high-risk areas as part of the ongoing maintenance cycle. We don’t just patch, we improve.

How does DBot's Frankfurt + Bangkok model affect support coverage?

It gives you continuous coverage across European and Asian business hours without the cost of a purely European team. German-managed engineering standards ensure quality and accountability. Bangkok-based execution provides cost efficiency and speed. For maintenance, this means faster response times and lower monthly costs than comparable European-only providers.

What if my application is built on MedusaJS or a headless commerce stack?

MedusaJS maintenance is one of our core specialisms. As an official MedusaJS Expert Partner, we understand the framework deeply, including plugin management, API layer performance, storefront integrations, and upgrade paths. If your commerce platform was built with AI assistance on a MedusaJS stack, we are one of the few providers equipped to maintain it properly.

Ongoing Engineering Support for AI-Built Applications

Your AI-Built App Needs Real Engineers to Keep It Running

AI tools are getting good at building applications. What they can't do is maintain them. Dependency drift, security vulnerabilities, performance degradation, and unexpected downtime don't pause after launch, they accelerate. If your team shipped an AI-generated app and assumed the hard work was done, you're already accumulating technical debt. Don't let a fragile codebase bring down the product your business depends on. DBot Software provides structured maintenance plans that keep AI-built applications secure, stable, and scalable, handled by senior engineers who understand what these tools produce and how to improve it.

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

/The Challenge/

AI-Generated Code Has a Shelf Life, Without Engineering Support

AI coding tools can produce functional applications fast. But they don't account for what happens six months after launch. Dependencies become outdated and introduce security risks. APIs break. Infrastructure that worked at 500 users starts buckling at 5,000. Bugs surface in edge cases the AI never anticipated. Worse, the original code is often difficult for engineers to maintain, inconsistent patterns, missing documentation, no test coverage. Teams end up firefighting incidents instead of building new features. In our work across 12+ industries, from logistics platforms like Alpega to retail operations like DD Bricks, we've seen the pattern repeatedly: fast initial delivery followed by painful, expensive stabilization. If your AI-built app is already in production without a structured maintenance plan, the clock is ticking.

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/

What Happens If You Leave It Unattended

A single unpatched vulnerability can expose customer data and trigger compliance failures. A slow API response that goes unmonitored becomes an outage that costs you conversions. Scaling an architecture that was never designed to grow means emergency rework at three times the cost. These aren't hypothetical risks, they're the predictable outcomes of running production software without proactive engineering oversight. On the other side: companies that treat maintenance as a continuous discipline ship faster, respond to incidents in minutes instead of days, and build compounding reliability that becomes a genuine competitive advantage. The difference between a product that earns trust and one that erodes it is sustained engineering attention after launch.

/Why DBot/

DBot Software: Engineering-Led Maintenance, Not a Ticket Queue

We're not a support desk that logs issues and waits for you to escalate. DBot Software brings German engineering standards and senior development expertise to every maintenance engagement, proactively identifying risks before they become incidents, applying patches before vulnerabilities are exploited, and evolving your architecture as your usage grows. With offices in Frankfurt and Bangkok, we provide cost-efficient, continuous coverage across time zones, with clear SLAs, transparent reporting, and direct access to the engineers working on your system. We've maintained and improved complex platforms across eCommerce, logistics, education, and supply chain, including MedusaJS-based systems that require specialist knowledge most agencies simply don't have.

Reliability You Can Measure

With a 94% client retention rate and 100% on-time delivery across all engagements, our track record reflects a maintenance approach built on accountability. We define SLAs upfront, report on them monthly, and hold ourselves to them. Clients like Häfele, where our engineering support reduced operational workload by 60% and cut stock shortages by 30%, don't stay because of promises. They stay because of results.

End-to-End Coverage From Day One

Our maintenance plans cover the full stack: dependency management, security patching, performance monitoring, incident response, infrastructure scaling, and proactive code quality improvements. Every engagement includes full IP ownership for your codebase, NDAs as standard, and a dedicated engineering point of contact, not a rotating support team. You always know who is responsible and what they're doing.

Built to Scale With You

Your maintenance needs will change as your product grows. Our plans are structured to scale, from lightweight monitoring and monthly updates for early-stage applications, to dedicated engineering capacity for high-traffic production systems. Using agile methodologies and cloud infrastructure across AWS, Azure, and Google Cloud, we ensure your application architecture evolves with your business rather than becoming a bottleneck to it.

/Get Started/

Start With a Free Application Assessment

We'll review your AI-built application, identify the highest-priority risks, and recommend the right maintenance plan for your stage and scale. No commitment required. The assessment is free, practical, and takes less than a week. If you're already experiencing performance issues or security concerns, we can begin triage immediately. Reach out and a senior engineer will respond within 24 hours.

/What’s at Stake/

Every Month Without a Maintenance Plan Is a Month of Compounding Risk

The most common objection we hear is that maintenance can wait until something goes wrong. By then, the cost of remediation is typically 3–5x what proactive maintenance would have been. Our 100% on-time delivery standard applies to maintenance milestones just as it does to project delivery, scheduled patches ship on schedule, monitoring alerts resolve within agreed SLA windows, and you receive monthly reports before you think to ask for them. We remove the uncertainty that makes maintenance feel like a burden and replace it with a structured, predictable process you can rely on.

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/Proven Results/

94% of Clients Stay Because the Work Holds Up

Client retention at DBot Software isn’t driven by contracts or lock-in. It’s driven by the fact that the systems we build and maintain keep performing. Long-term clients in logistics, retail, education, and supply chain continue working with us because we take ownership of outcomes, not just tasks. When your application is running reliably at 2am on a Friday, that’s not luck, it’s the result of continuous engineering discipline applied over months and years.

Engineering Outcomes That Speak for Themselves

Alpega reduced freight matching costs by 23% and achieved 85% matching accuracy after we stabilized and scaled their logistics platform. DD Bricks saved $500K annually after we streamlined their hybrid B2C/B2B eCommerce operations and reduced manual workload by 60%. Häfele cut stock shortages by 30% through supply chain platform improvements and ongoing operational support. RIS Swiss School eliminated 60% of administrative workload through platform integration and continuous system maintenance. These outcomes didn't happen at launch, they compounded over time through sustained engineering attention.

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.

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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.

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Common Questions About AI App Maintenance

If you've shipped an AI-built application and are evaluating your options for ongoing support, here are the questions we hear most often, with direct answers.

What does an AI app maintenance plan actually include?
Our plans cover dependency updates, security patching, uptime monitoring, performance optimization, incident response, and infrastructure scaling. Scope and SLAs are defined upfront based on your application’s complexity and criticality. You get a dedicated engineering contact, monthly reporting, and clear escalation paths, not a generic ticket queue.
How quickly can you take over maintenance of an existing AI-generated application?
Typically within one to two weeks. We begin with a free technical assessment to understand the codebase, identify immediate risks, and agree on a handover plan. For urgent situations, active security vulnerabilities or performance incidents, we can begin triage within 24 hours of first contact.
Is AI-generated code harder to maintain than hand-written code?
It can be. AI tools often produce inconsistent patterns, skip documentation, and miss edge cases. Our engineers are experienced in reviewing and stabilizing AI-generated codebases, normalizing patterns, adding test coverage, and refactoring high-risk areas as part of the ongoing maintenance cycle. We don’t just patch, we improve.
How does DBot's Frankfurt + Bangkok model affect support coverage?
It gives you continuous coverage across European and Asian business hours without the cost of a purely European team. German-managed engineering standards ensure quality and accountability. Bangkok-based execution provides cost efficiency and speed. For maintenance, this means faster response times and lower monthly costs than comparable European-only providers.
What if my application is built on MedusaJS or a headless commerce stack?
MedusaJS maintenance is one of our core specialisms. As an official MedusaJS Expert Partner, we understand the framework deeply, including plugin management, API layer performance, storefront integrations, and upgrade paths. If your commerce platform was built with AI assistance on a MedusaJS stack, we are one of the few providers equipped to maintain it properly.