KI FÜR MÜNCHEN AI adoption. Done right.

TÜV Süd AI Officer/ISO/IEC 42001/Munich

Adopting AI is easy. Adopting it right takes governance.

For 15 years we have secured software and hardware development with testing and quality management. We now bring that same standard to the use of AI in your processes.

We guide upper mid-sized companies from AI governance through development process automation to AI in their own products. Consulting, implementation and support from one team.

Transparent · tested · deterministic · self-hosted first

TOOLCHAIN PolarionJiraGitJenkinsConfluenceArtifactoryCodebeamerGitLabAzure DevOpsIBM DOORSJama ConnectGitHubBitbucketSubversionGerritGitHub ActionsAzure PipelinesTeamCityNexusSonarQubePolyspaceVectorCASTLDRARobot FrameworkpytestEnterprise ArchitectAWSMicrosoft AzureKubernetesREST / OpenAPIOpenAIAnthropic Claude and more

FINDINGS / 01

Three ways to get AI wrong

We see them every week. All three end the same way: effort without impact.

F-01

Tool actionism

Buy licences, hand out accounts, hope. Without governance and process integration it stays a toy — and nobody is accountable when something goes wrong.

NOT AUDITABLE

F-02

Data protection blind flight

Customer data and engineering know-how end up in third-party clouds. GDPR, trade secrets and the EU AI Act become a risk instead of a framework.

NOT AUDITABLE

F-03

The PoC graveyard

One pilot after another, none of them ever reaching production. Because the path from idea to auditable operations was never planned.

NOT AUDITABLE

APPROACH / 02

The goal: an AI-first company. The path: stages.

We do not force AI on top of your processes — that only makes a difficult system more difficult. We optimise your processes for AI and then scale up: in plannable, individually measurable steps towards a jointly agreed target. How far you go is your decision — the stages are expansion levels, not a mandatory route. The human steers, the AI handles the routine — the full target picture is at AI for Strategy.

  1. ST-01 Weeks 1–8

    Governance & readiness

    Most companies simply do not know where to start: GDPR, the EU AI Act, ISO 42001, liability. We audit your processes, data and governance, and build the foundation AI scales on: AI management, data management, AI governance. After this stage you know exactly what you may do, what you need, and what it will deliver.

    • Audit: processes, data, governance
    • Gap analysis ISO/IEC 42001 & 27001
    • EU AI Act risk classification
    • Department-level training with concrete use cases
    Stage details →
  2. ST-02 From month 2

    AI in the development process

    Your V-model, accelerated by AI: requirements reviews, code assistance, automated test case derivation, intelligent pipelines. Integrated into your toolchain — not bolted on beside it.

    • Requirements engineering: review, consistency, testability
    • Code assistance & review automation
    • Test case generation & test automation
    • CI/CD pipelines with AI gates
    Stage details →
  3. ST-03 After stages 1 + 2

    AI in your product

    Only those who master their own processes can bring AI into their products responsibly. Architecture, safeguarding, compliance by design — aligned with the EU AI Act and ISO 42001.

    • AI architecture & make-or-buy
    • Compliance by design
    • Safeguarding & test concepts for AI features
    Stage details →
  4. ST-04 Continuous

    Ongoing support

    We do not disappear after go-live. Monitoring, audits, continuous improvement — service comes first.

    • Operations & monitoring
    • Audit support
    • Continuous optimisation
    Stage details →

How we deliver this: the V-AI-SCALER method

In five steps from assessment to scaled routine operations — measurable, governance-compliant, in the process instead of as an island. See the method →

ENGINEERING / 03

AI where your product is built: inside the V-model

From requirements through planning and development to testing and pipelines — we steward every step with AI and bring every team along. Integrated into your toolchain: Polarion, Jira, Jenkins, Codebeamer, Azure DevOps and more.

RequirementsReview · testability System designOptions · risks ArchitectureInterfaces · data Module designAPIs · states ImplementationCode · reviews Unit testsBoundaries · mocks Integration testInterfaces · data System testE2E · regression AcceptanceEvidence · release AI reviews requirements for clarity, completeness, standards relevance and testability.AI AI compares design options, risks, interfaces and technical trade-offs.AI AI supports architecture decisions, data flows, security model and operating model.AI AI reviews API designs, states, failure modes, edge cases and design rules.AI AI supports implementation, refactoring, code reviews and technical documentation.AI AI derives unit tests, boundaries, mocks and negative cases from design and code.AI AI analyses interfaces, test data, dependencies and failure chains in integration testing.AI AI prioritises system tests, E2E scenarios, regressions and coverage reports.AI AI prepares acceptance reports, evidence, traceability and audit material.AI
AI use in every phase One process map, three depths: executives · engineering/QA leads · teams
EXECUTIVES Risk, cost, release

Management sees maturity, obligations, priorities and evidence it can rely on.

ENGINEERING / QA Traceability, gates, test strategy

Leads see where AI connects artifacts, protects quality and removes bottlenecks.

TEAMS Prompts, artifacts, automation

Developers and testers work concretely in requirements, code, tests and pipelines.

PROOF / 04

Why you can believe us

N-01

Certified

TÜV Süd certified AI Officer. The ISO/IEC 42001 certification is in preparation. We work to ISO 42001 and ISO 27001 — and take you there.

N-02

Experienced

We have been testing hardware and software for 15 years — we know exactly what it takes to build quality into processes and products. We apply that same approach to AI: transparent, tested, perfected, deterministic.

N-03

Proven on ourselves

Our own organisation runs fully AI-driven. Every process we recommend carries daily production load in our own business first — from quoting to pipelines.

REF-01 / ENGINEERING

AI integration into the ALM toolchain of a leading Munich-based technology company: Polarion, Jira, Git, Jenkins, Confluence, Artifactory — in live development operations.

REF-02 / ORGANISATION

Building a fully AI-driven organisation in e-commerce: from customer service through marketing to order processing.

TÜV SÜD — AI OFFICER ISO/IEC 42001* ISO/IEC 27001 EU AI ACT / GDPR

* TÜV Süd AI Officer & AI Coordinator: certified. Other entries = working framework, not certifications — ISO/IEC 42001 in preparation; we work to ISO/IEC 27001, the EU AI Act and GDPR.

NEXT STEP / 05

Where does your company stand?

Tell us where your process loses time — we will tell you honestly whether and how AI can carry the load there.