Why AI Builders Fail Founders? But How to Build Fast and Secure Anyway
AI-generated code moves fast but cuts corners. Learn why AI builders fall short for founders and how to ship quickly without sacrificing security or scalability.
During this webinar, we have talked about
Why AI builders fail founders
3 ways to build an MVP today: AI builders, custom dev, pre-built solutions
Why pre-built solutions win – with a real startup story of an MVP launched in 12 weeks
Case Studies
Building a Scalable Multi-Jurisdiction Legal Scraper System
Challenge:
A tech company needed a reliable, automated system to gather, normalize, and deliver daily legislative updates across multiple countries.
Solution:
Provided a complete Scope Doc with development roadmap.
Redesigned the entire data-collection pipeline using AWS Lambdas, CloudWatch scheduling, and Selenium automation.
Centralized results through a unified API integrating three separate scrapers.
Implemented secure secrets management, structured logging, and full monitoring/alerting.
Delivered an Observability Dashboard and a roadmap for multi-country expansion.
Result:
Delivered a fully automated, stable data pipeline that delivers daily legal updates with minimal manual work, higher reliability, and a scalable foundation for entering new markets.
Building an MVP for a UK Rail-Ticketing Startup in 12 Weeks
Challenge:
A UK startup needed a rail-ticketing product in front of partners within 12 weeks, and a platform that could keep trading once it launched.
Solution:
Scoped a 12-week mobile-first delivery plan across four discovery sprints
Stood up the mobile and backend foundations in 8 hours using pre-built solutions
Built the ticketing backend and the full booking flow, from search to wallet-ready e-ticket
Surfaced split-ticket savings and live travel information from a direct industry feed
Result:
Over £300,000 processed, over 10,000 active users, and demand from over 100 countries.
Conducting a Compliance Discovery for a MedTech Company
Challenge:
A medtech company needed to prove that its platform could securely store and process sensitive patient data. Before scaling, they required a full HIPAA/GDPR readiness assessment.
Solution:
Reviewed AWS infrastructure, IAM roles, VPC setup, encryption, backups, and access policies.
Documented risks and delivered a remediation plan and compliance roadmap.
Connected the client with certified HIPAA/GDPR auditors and training partners.
Advised on privacy policies, data access, audit requirements, and PHI-handling best practices.
Result:
Delivered a complete compliance readiness roadmap, identified key AWS vulnerabilities, and aligned the client with certified auditors to accelerate HIPAA/GDPR certification.
Ready to build fast with senior-led engineering?
"AI-generated code moves fast, but it needs senior guardrails to keep from cutting corners. We use AI and our own pre-built solutions to eliminate repetitive work, allowing our senior developers to focus 100% on your product's unique architecture, security, and scalability.
Let's discuss your project. Fll out the form to book your free consultation!"
Mina Morkos
Business Development Manager
