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 creationStripe 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.

    0 %

    slower with AI tools for experienced devsMETR (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 GermanyBitkom 2025, n=855 companies. Down from record 149,000 (2023). 85% of companies still report talent shortage, 79% expect it to worsen.

    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%.

    Three packages. From assessment to ongoing advisory.

    BAFA-ELIGIBLE

    PACKAGE 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

    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.

    BAFA-ELIGIBLE

    PACKAGE 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

    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.

    PACKAGE 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

    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.

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

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

    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

    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.

    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.