AI Code Review Checklist Before Production
Use this AI code review checklist to catch security, scalability, and maintainability risks before production deployment.
Read guide →Large companies get the most from their software through senior technical teams. AI2H brings you the same level of rigor and results, performance, reliability and measurable ROI, without the cost of a full engineering leadership function.
Stacking subscriptions, poorly connected tools, teams losing time on manual tasks: most companies only use a fraction of their technical stack's potential. The result: software investments that do not translate into growth, productivity or margin.
AI2H turns your tools into performance levers.

We identify waste, optimise your processes and align every pound or euro invested with a concrete business outcome: acquisition, retention, productivity.
Reliable systems that handle the load when your business accelerates, without slowing your teams or degrading the customer experience.
Rationalise your stack, eliminate duplicates and reduce recurring spend on hosting, licences and maintenance without sacrificing quality.
Senior expertise, proven method, concrete results. We intervene where it matters for your business, not for the sake of technology.
You retain ownership of your tools and data. Our role: give you the means to steer your technology autonomously.

Project to launch, blocking bug, looking for a solution, simple intro call… Whatever the topic. Pick a slot and talk directly with an AI2H expert technician.
Book my free sessionArchitecture, performance, integration: we consolidate your stack so it supports your commercial ambitions, not the other way around.
Discover our technical expertise →Turn repetitive tasks into measurable productivity gains. Less time wasted, more value created for your customers and teams.
Explore our automation solutions →Technical stack we optimise for you
















High-intent guides for teams facing production blockers, security risks, or velocity loss caused by AI-generated code.
Use this AI code review checklist to catch security, scalability, and maintainability risks before production deployment.
Read guide →Assess whether your SaaS is production-ready. Identify security, stability, and architecture gaps before scaling.
Read guide →Migrate from Lovable-generated app code to a clean Next.js architecture your team can maintain and scale.
Read guide →Audit Supabase security posture and harden Row Level Security policies to protect production data and APIs.
Read guide →Understand common OWASP-aligned vulnerabilities in AI-generated applications and how to remediate them.
Read guide →Learn how to reduce AI-generated technical debt and recover engineering velocity with a structured remediation plan.
Read guide →