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.

42 %

of dev time on maintenance, not value creation

Stripe Developer Coefficient (Harris Poll, n=1,000+ developers in US, UK, FR, DE, SG). 17.3h of 41.1h working week on maintenance. Confirmed by DORA 2024 and LinearB 2024.

19 %

slower with AI tools for experienced devs

METR (Model Evaluation & Threat Research), July 2025. Randomized controlled trial. 16 experienced open-source developers using Cursor Pro (Claude 3.5/3.7 Sonnet). Developers still believed they were 20% faster.

109.000

open IT positions in Germany

Bitkom 2025, n=855 companies. Down from record 149,000 (2023). 85% of companies still report talent shortage, 79% expect it to worsen.

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.GitHub Copilot is not part of the Microsoft EU Data Boundary (GitHub Discussion #165658). Cursor processes all data on US infrastructure.

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.Stripe Developer Coefficient, 2023. 17.3 of 41.1 weekly hours go to maintenance (n=1,000 developers).

19% slower with AI tools

Experienced developers become slower with AI coding tools and believe they're faster. You lack the measurement.METR RCT, July 2025: Experienced developers 19% slower with Cursor Pro. Self-assessment: 20% faster. DX Research (121,000 devs): productivity gain around 10%.

SERVICES

Three stages. From assessment to ongoing advisory.

BAFA-ELIGIBLE

BUILDING BLOCK 1

Dev Team Assessment

Shows where your engineering team stands: metrics, architecture, processes, AI tool usage.

2 to 3 daysOn-site or hybrid. Interviews with CTO, team leads, and a sample of the development team.

from €5,000

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WHAT YOU RECEIVE

Analysis of four core DORA metrics: deployment frequency, lead time, change failure rate, and recovery time. Architecture assessment for technical debt and scalability. Audit of AI coding tool usage, including GDPR compliance. Nearshore effectiveness review where applicable. Results document with three prioritized quick wins. BAFA-eligible: effective investment from approx. €2,500 (50% subsidy).

FOR WHOM

Your IT budget is rising but delivery speed isn't. You lack the metrics to prove it.

WITHOUT MEASUREMENT

42% of development time goes to maintenance (Stripe/Harris Poll). With 15 developers at €80,000 fully loaded cost, that's over €500,000 per year.

Schedule a conversation
BAFA-ELIGIBLE

BUILDING BLOCK 2

IT Strategy Sprint

From analysis to decision template. Roadmap, target operating model, build-vs-buy.

3 to 5 daysSpread over 2 to 3 weeks. Individual consulting with management and CTO.

from €8,000

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WHAT YOU RECEIVE

IT strategy document with target operating model and technology roadmap. Build-vs-buy analysis for the three most critical components of your software landscape. Nearshore/onshore evaluation factoring in AI productivity effects. AI coding tool strategy: which tool, GDPR-compliant, with measurable rollout plan. Board presentation with decision template. BAFA-eligible: effective investment from approx. €3,500.

FOR WHOM

Your IT costs are rising, delivery speed can't keep up. A make-or-buy decision is pending.

WITHOUT MEASUREMENT

A €90/h developer with AI tools delivers faster than a €40/h developer without (Databender 2026). Without comparison data, you make nearshoring decisions based on hourly rates.

Schedule a conversation

BUILDING BLOCK 3

Ongoing Advisory

Monthly sparring for your IT decisions. Until your team delivers independently.

2 days per monthRetainer, minimum 3 months. Monthly cancellation after that.

from €2,500/month

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WHAT YOU RECEIVE

Monthly delivery review: track DORA metrics, identify bottlenecks, measure improvements. Sparring for CTO and CEO on architecture and staffing decisions. AI tool governance: support rollout, ensure GDPR compliance. Nearshore management review: evaluate quality and cost quarterly. Goal: your team becomes independent.

FOR WHOM

You have 15 to 80 developers and no CTO with the breadth needed for all decisions.

WITHOUT MEASUREMENT

Developer turnover averages 23 to 25% annually. Each departure costs 0.75 to 2 annual salaries (SHRM/Gartner 2024). Ongoing monitoring measurably reduces turnover.

Schedule a conversation

For PE transactions, we offer Tech Due Diligence as a separate format. Contact us directly.

Many services are BAFA-eligible. We advise you in the initial consultation.
Dr. Oliver Gausmann

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

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.