See where your platform will break
before your costs explode

AI-native platform diagnostic for Series A/B SaaS.
Get your top 3 failure risks and next-step priorities.

~5 minutesWAF2p alignedreport in 24h

“Architectural debt is visibly burning 30–40% of engineering capacity and it’s starting to show up in cloud costs and board conversations.”

Christian Weber

Christian · Founder & AI-Native Cloud Architect

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platform diagnosis · mach2.cloud · ai-native platform readiness assessment

FAQ

How long does it take?
~5 minutes if you're a CTO, VP Eng, or Head of Platform who understands your current stack and incidents.
Who should fill it out?
Ideally the person who gets board questions about reliability or cloud cost and engineers’ complaints about “platform drag”. Usually the CTO, VP Eng, or Head of Platform.
What happens after I complete it?
You get an on‑screen summary and a PDF. At the end, you can optionally book a 30‑minute Architecture Audit review or close the tab. No forced calendar booking.
Will you see my answers?
Yes, but there is no code or customer data. Only high‑level signals about incidents, deployment patterns, and costs. It's enough to spot structural patterns, not enough to expose sensitive information.
Is this only for AI-native teams?
No, but Compass is designed for teams that either already run AI workloads or plan to in the next 12–18 months. That's where architectural debt hurts the most.
Connect

Your platform should
outlast your roadmap.

Let's talk if you're a CTO or engineering leader at a SaaS company scaling from 10 to 100 engineers and architecture is starting to create friction A short call usually surfaces the one thing worth fixing first.

No sales pitch. No commitment. Just architectural clarity.