Your team bought AI tools. Nobody uses them.
Most engineering teams have Copilot licences collecting dust. We assess your AI adoption across 8 dimensions and deliver a 90-day enablement roadmap. EUR 4,500, one week, one senior practitioner.
Let's talk
The situation
AI tools are everywhere. AI practices are not.
Your team has Copilot, Cursor, or ChatGPT. A few engineers use them daily. Most do not. There is no shared workflow, no integration into CI/CD, no structured onboarding for new hires.
The result: your team ships at the same speed as two years ago while AI-native competitors ship 40-60% faster.
The gap is not about tools. It is about adoption.
Individual engineers experimenting with AI is not the same as a team that ships with AI. The difference shows up in velocity, code review throughput, test coverage, and onboarding speed.
The cost of waiting is compounding.
Every month without structured AI adoption widens the gap. Your competitors are not waiting. The teams that figure this out first hire better, ship faster, and win more deals.
Most CTOs know this. What they lack is a structured way to measure the gap and a concrete plan to close it.
This audit gives you both.
One week. Eight dimensions. A scored adoption matrix and a 90-day roadmap you can execute the day you receive it.
What you will know
AI Adoption Scorecard: Your team scored across 8 dimensions (tool coverage, workflow integration, code review, testing, documentation, sprint practices, prompt quality, onboarding). Red, Amber, or Green for each.
Gap Analysis: Where you stand today vs. what AI-native teams look like in 2026. Specific tools and practices, not generic advice.
30-60-90 Day Roadmap: A concrete enablement plan with named tools, specific practices, and a clear implementation sequence your team can start executing immediately.
Quick Wins List: 3 to 5 changes your team can make in the first week with immediate, measurable impact on velocity.
Team Skills Assessment: An anonymised view of where your engineers sit on an AI proficiency scale, so you know exactly where to focus training.
Implementation Path: A scoped proposal for AI Engineering Enablement if you want Gradion to run the roadmap for you. No obligation.
Every deliverable is written to be actionable. No frameworks. No theory. Tools, practices, and timelines.
How it works
Discovery
Structured interviews with 4-6 engineers and a tool inventory session with your engineering lead. We map your current AI adoption across all 8 dimensions.
Assessment
We score each dimension against what high-performing AI-native teams look like in 2026. Every rating is evidence-based, drawn from your team's actual practices.
Analysis
Gap analysis, quick wins identification, and the 30-60-90 day enablement roadmap. All work happens off-site with zero disruption to your team.
Debrief
A 45-minute presentation of findings, scorecard, roadmap, and next steps. You leave with everything you need to act, whether independently or with Gradion.
Scope
What is included
- AI tool coverage assessment across your entire engineering team.
- Workflow integration review: where AI appears (and where it does not) from ticket to merge.
- Code review, testing, and documentation practices evaluated for AI integration.
- Sprint practices and prompt quality assessment.
- Onboarding process review for AI tool setup and training.
- 8-dimension scored adoption matrix with evidence-based ratings.
- Prioritised 30-60-90 day enablement roadmap.
- 3-5 quick wins for immediate implementation.
What is not included
- Code architecture review or technical debt assessment (see Code Quality Audit).
- Security posture or compliance assessment (see Tech Due Diligence).
- AI product features your company builds for customers. This is about internal workflows only.
- Infrastructure, cloud costs, or DevOps tooling beyond AI integration points.
- Implementation of any recommendations. That is the follow-on engagement.
Who does the work
Joschua Ziethen leads this audit. He is a Consultant at Gradion who deploys AI tools in production engineering teams daily.
Expertise
AI-assisted development workflows, Cursor, Claude Code, GitHub Copilot, and CI/CD integration of AI tooling. Joschua works with engineering teams across DACH and APAC to move from ad-hoc AI experimentation to structured, team-wide adoption.
Industry experience
SaaS, fintech, marketplace platforms, and Mittelstand IT departments. Teams ranging from 5 to 50 engineers.
Track record
Gradion's own engineering organisation of 320 engineers uses the same tools and practices assessed in this audit. Joschua applies what works internally to every client engagement.
Why Gradion
We use what we assess
Gradion's 320 engineers use Cursor, Claude Code, and Copilot in daily production work. This is a practitioner reviewing your setup, not a framework consultant.
EUR 4,500 vs. EUR 100K+
Large consultancies charge six figures for AI transformation programmes that take months. This audit costs less than one developer's monthly salary, takes one week, and delivers an actionable roadmap.
We implement what we recommend
With 320 engineers and an active delivery practice, Gradion does not produce a report and disappear. The follow-on AI Engineering Enablement engagement puts our architects into your workflows.
Benchmarked against real teams
We work across startups and Mittelstand companies in APAC and DACH. We measure you against what AI-native teams actually look like, not abstract frameworks.
AI Engineering Audit
Fixed price. No surprises. No hidden costs.
Standard
One week, one senior practitioner, eight dimensions scored.
- AI Adoption Scorecard (8 dimensions, Red/Amber/Green)
- Gap analysis vs. AI-native best practice
- 30-60-90 day enablement roadmap
- Quick wins list for immediate implementation
- Team skills assessment (anonymised)
- 45-minute debrief presentation
- Scoped follow-on proposal (no obligation)
Frequently asked questions
Can we assess our own AI adoption internally?
You can try, but internal assessments miss what they cannot see. Teams tend to overestimate adoption because the most vocal engineers are the ones using AI. An external assessment benchmarks you against what high-performing teams actually look like across all 8 dimensions, not just the dimensions your team is already strong in.
What if we already use some AI tools?
Good. Most teams do. The question is not whether you have tools, but whether your entire team uses them systematically. Individual adoption is not team adoption. This audit measures the gap between where a few engineers are and where the whole team should be.
What happens after the audit?
You receive a complete report, scorecard, and roadmap. You can execute the roadmap independently. If you want Gradion to run it for you, the AI Engineering Enablement engagement is scoped directly from the audit findings. No re-briefing, no discovery phase. Typical follow-on: EUR 15K to EUR 80K over 6-12 weeks.
How is this different from a vendor demo or tool evaluation?
A vendor demo sells you a product. This audit assesses your team's practices, workflows, and adoption maturity across 8 dimensions. The recommendations are tool-agnostic. We recommend what works for your stack, your team size, and your workflow.
Our team is only 5 engineers. Is this relevant?
Yes. Smaller teams benefit more because the impact per engineer is higher. If one engineer on a 5-person team adopts AI-native practices, that is 20% of your capacity improved. The audit scales to team size.
From audit to production
The audit gives you the diagnosis and the roadmap. If you want Gradion to run the implementation, the AI Engineering Enablement engagement deploys the tooling, integrates it into your CI/CD, trains your engineers, and measures the uplift.
Typical scope: 6 to 12 weeks. EUR 15,000 to EUR 80,000 depending on team size. Scoped directly from the audit findings, so there is no re-briefing and no wasted time.
The roadmap is yours either way. Execute it independently or with Gradion. No lock-in.
AI Engineering Audit: EUR 4,500
Fill out the form. We confirm availability and scope within 48 hours.
- No obligation. No sales pitch.
- Response within 48 hours.
- Senior practitioner on every call.