Application Support & Maintenance
Proactive, multi-level support that keeps software stable and secure.
Proactive support, SRE and managed automation that keep mission-critical software stable, secure and improving — with humans accountable.
We take long-term ownership of the systems you depend on: monitoring, support, reliability engineering and managed automation, run by senior engineers — not a ticket queue.
A partner who owns reliability with you.
Most support keeps the lights on. We keep systems healthy and make them better — proactive monitoring, fast resolution, and continuous improvement, with automation applied where it removes real toil.
Proactive, multi-level support that keeps software stable and secure.
Reliability engineering with around-the-clock monitoring and agreed support coverage.
Fast resolution and root-cause fixes, not just workarounds.
Intelligent process automation, run and governed as a managed service.
Ongoing optimization of performance, cost and reliability.
Patching, monitoring and response built into operations.
Experienced engineers own the work and AI accelerates it — never the other way around. This five-phase model is how we apply the Braindoos AI Engineering Framework: AI participates in every phase, calibrated to the work; a human owns every decision; approval is always human and standards always override AI.
AI accelerates requirement analysis, research and impact assessment; engineers define, validate and approve the requirements and own the architecture. No unvalidated assumption reaches the build.
AI generates code and tests at speed against approved standards; engineers own the code, the reuse and security decisions, and the architecture. AI does the heavy lifting; the engineer owns the result.
AI pre-screens every change — AI-assisted or hand-written — against the same standards and checklists; experienced developers make the final review judgment. "The AI wrote it" is never a defense.
AI generates tests for both expected and failure paths alongside the code; engineers own coverage and test adequacy and add the manual testing that judgment requires.
AI assists release notes, monitoring and production analysis; engineers approve every release, accept residual risk and decide on every fix. Continuous human oversight, AI-accelerated.
A look at the problems we've solved and the results that followed.
A European enterprise software company’s platform gives each customer a private, per-account knowledge base built from documents they upload, which the platform’s AI can then answer questions against.
Read Case Study →WordPress does not, by default, give a theme a single place where a page’s template, styling and behavior are declared once and consumed everywhere they matter — left to the platform’s defaults, that structure tends to scatter into per-page conditionals or a page builder’s own configuration.
Read Case Study →A European enterprise software company runs a required CI validation sequence against its frontend application, including an automated dependency-security check as one of the required steps.
Read Case Study →Book a consultation with our senior engineers. We'll discuss your current state and map a practical path forward — no obligation, no generic pitch.
Tell us the problem you're trying to solve. You'll speak with experienced engineers who can assess it honestly and outline realistic options — whether or not we end up working together.