Our 4-step methodology to restore release stability, decision clarity, and LLM cost discipline for founder-led AI teams — in 30-60 days.
Define what must be true, what stops now, and which decisions de-risk the next 30-60 days. We identify root constraints — not symptoms — before touching a single line of code.
A comprehensive detailed technical report with prioritized recommendations, cost-benefit analysis, and a roadmap for fixes. You'll know exactly what's wrong and how much it's costing you.
Harden reliability, add observability, and set release guardrails so shipping is safe again. We address rollback loops, error handling, and predictable AI behavior patterns.
Your app stops randomly breaking. Error rates drop by 80%+, and your team can sleep through the night without emergency alerts. Users start trusting your app again.
Reduce AI variance and spend drift with model routing, caching, and disciplined usage controls. We install cost guardrails and behavioral discipline without freezing product velocity.
Operational costs typically drop 50-70%. Response times improve by 3-5x. Your app handles 10x more users with the same infrastructure. Development velocity increases as the codebase becomes maintainable.
Lock in recurring decisions, ownership, and release rhythm that keeps velocity and control aligned. This is the cadence that persists after the intervention ends.
Your team ships features 3x faster with confidence. The app handles growth gracefully. You have full visibility into performance and costs. New team members become productive quickly.
Book an Intervention Diagnostic and we'll map your constraints, risks, and 30-60 day plan.
Book Intervention Diagnostic