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 THE STUDIES SHOW
Experienced developers become 19% slower with AI tools and still believe they're 20% faster. A controlled study with open-source maintainers measured this (METR, July 2025). The DORA study confirms it at organizational level: more AI adoption correlates with less delivery performance. The problem isn't the technology. The problem is the lack of measurement. If you don't know how fast your team was before AI adoption, you can't evaluate whether adoption helped.
From 20 years of operational responsibility for technology and teams
HOW WE WORK
01
02
03
04
30 minutes
Initial conversation
Team size, pain points, AI tool usage. You receive an initial assessment of which format fits.
2 to 3 days
Assessment
DORA metrics, architecture review, AI tool audit. Result: a document with a prioritized roadmap.
3 to 5 days
Strategy
For structural issues: target operating model, build-vs-buy, AI tool rollout. Board presentation.
Ongoing
Advisory
Monthly delivery review. Track DORA metrics, measure nearshore quality. Until your team delivers independently.
01
30 minutes
Initial conversation
Team size, pain points, AI tool usage. You receive an initial assessment of which format fits.
02
2 to 3 days
Assessment
DORA metrics, architecture review, AI tool audit. Result: a document with a prioritized roadmap.
03
3 to 5 days
Strategy
For structural issues: target operating model, build-vs-buy, AI tool rollout. Board presentation.
04
Ongoing
Advisory
Monthly delivery review. Track DORA metrics, measure nearshore quality. Until your team delivers independently.
WHY CONVIOS
Metrics over gut feeling
We measure core DORA metrics, maintenance ratios, and AI tool productivity. You get numbers, not opinions.
GDPR clarity for AI tools
GitHub Copilot and Cursor process code outside the EU. We clarify which tool is GDPR-compliant under which conditions.
Experience with 15 to 300 developers
Team composition, nearshore management, and architecture decisions from operational leadership. No theoretical frameworks.
Goal: your independence
We build measurement capability in your team. After the assessment, your team leads know how to measure and steer themselves.
Start with an initial conversation. 30 minutes.
We'll determine where your engineering team stands and what the three next steps are.