SOFTWARE DELIVERY & PERFORMANCE
42% of your development capacity
goes to maintenance. The rest delivers too slowly.
109,000 IT positions in Germany are unfilled (Bitkom 2025). Meanwhile, your existing team spends nearly half its development capacity on debugging and refactoring. AI coding tools promise relief but deliver no measurable gains for experienced developers (METR 2025, DORA 2024). What's missing isn't a tool. What's missing is structure.
DELIVERY COST CHECK
What does maintenance cost your company?
Two inputs, instant result.
Delivery cost check by Convios. Industry average, not individual analysis.
0 %
of dev time on maintenance, not value creation
0 %
slower with AI tools for experienced devs
109.000
open IT positions in Germany
DOES THIS SOUND FAMILIAR?
Copilot without GDPR clarity
Your team uses GitHub Copilot or Cursor. Both process code outside the EU. The GDPR question is unresolved.
Nearshore: volume yes, quality no
Review times are rising, bugs are piling up. Your onshore manager spends more time coordinating than delivering results.
42% maintenance instead of value
Debugging, refactoring, technical debt. Every new feature competes with legacy.
19% slower with AI tools
Experienced developers become slower with AI coding tools and believe they're faster. You lack the measurement.
SERVICES
Three packages. From assessment to ongoing advisory.
PACKAGE 1
Dev Team Assessment
Shows where your engineering team stands: metrics, architecture, processes, AI tool usage.
2 to 3 days
from €5,000
PACKAGE 2
IT Strategy Sprint
From analysis to decision template. Roadmap, target operating model, build-vs-buy.
3 to 5 days
from €8,000
PACKAGE 3
Ongoing Advisory
Monthly sparring for your IT decisions. Until your team delivers independently.
2 days per month
from €2,500/month
For PE transactions, we offer Tech Due Diligence as a separate format.

Dr. Oliver Gausmann
Managing Director, Convios
WHAT MANY OVERLOOK
42 percent of development time goes to maintenance and technical debt. Not new features. Most CTOs know this number but can't break it down for their own organization. Without metrics, you're making staffing and architecture decisions blind.
Stripe Developer Coefficient Report, Harris Poll 2023
HOW WE WORK
01
02
03
04
30 minutes, free
Initial consultation
Understand the situation, clarify metrics, define scope.
2 to 3 days
Assessment
DORA metrics, architecture review, AI tool audit, results document.
3 to 5 days
Strategy sprint
Roadmap, target operating model, build-vs-buy analysis.
Ongoing, monthly
Ongoing advisory
Delivery review, CTO sparring, AI governance. Until your team delivers independently.
01
30 minutes, free
Initial consultation
Understand the situation, clarify metrics, define scope.
02
2 to 3 days
Assessment
DORA metrics, architecture review, AI tool audit, results document.
03
3 to 5 days
Strategy sprint
Roadmap, target operating model, build-vs-buy analysis.
04
Ongoing, monthly
Ongoing advisory
Delivery review, CTO sparring, AI governance. Until your team delivers independently.
WHY CONVIOS
DORA metrics, not gut feeling
Deployment frequency, lead time, change failure rate, recovery time. Four metrics that show where your team really stands.
Build vs. buy, data-driven
Nearshore costs vs. local AI productivity. We calculate before, not after.
20 years of engineering leadership
CTO experience in SaaS, fintech, and regulated environments. Theory meets operational reality.
Goal: your independence
We set up metrics and processes. After that, you don't need us anymore.
Your next step: a 30-minute initial conversation.
We'll determine where your engineering team stands and what metrics you need.