You're about to make a decision that costs $200K if you get it wrong. This is the service that makes sure you don't.

A surgical architecture audit and scaling roadmap for B2B SaaS and AI platforms at an inflection point. Whether you're preparing to scale, raising your next round, onboarding enterprise clients, or inheriting a codebase nobody fully understands, this engagement gives you complete technical clarity in 2 weeks.

I tear your system apart on paper so nobody has to tear it apart in production.

Every layer gets examined: infrastructure, backend services, data architecture, API surface, deployment pipeline, security posture, and the technical debt your team knows about plus the debt they don't. Each risk is documented, scored by business impact, and mapped to a prioritized action plan.

The output isn't a slide deck. It's an executable roadmap your engineering team can start building from on day one.

11+ years. 80+ architecture audits across SaaS platforms, AI systems, and business-critical infrastructure. I've seen what breaks at 10K users, at 100K users, and at the enterprise contract that requires SOC 2 compliance by next quarter.

→ System & Service Architecture • Service topology, domain boundaries, and decomposition patterns • Monolith vs microservice evaluation and migration readiness • Architecture decision history and structural debt

→ Data & Database Layer • Database design, query performance, and data modeling • Replication strategy, sharding readiness, and backup architecture • Data migration paths and schema evolution risks

→ API & Integration Architecture • API contracts, versioning, and gateway design • Third-party dependency risk assessment • Webhook reliability and integration failure handling

→ Infrastructure & Deployment • Cloud infrastructure configuration and cost efficiency • CI/CD pipeline health and deployment automation • Environment management and infrastructure-as-code maturity

→ Security & Compliance • Authentication, authorization, and access control architecture • Compliance readiness gaps (SOC 2, GDPR, enterprise requirements) • Secret management, encryption, and vulnerability surface

→ AI Systems (where applicable) • AI workflow architecture and orchestration patterns • LLM integration design and model serving infrastructure • Vector database strategy and pipeline performance

→ Founders about to raise and need technical due diligence readiness → CTOs who inherited a system and need to know what's actually in there → Teams hitting performance walls they can't diagnose internally → Companies preparing for enterprise clients or SOC 2 certification → AI platforms moving from prototype to production-grade infrastructure

Architecture assessment across the full infrastructure and application layer.

• AWS • GCP • Azure • Docker • Kubernetes • PostgreSQL • Redis • Node.js • Next.js • TypeScript

11+ years. 80+ audits. The document that tells you exactly where your system breaks before it breaks.