AI Agent Development Company in Munich

Munich agent work is costed by the evidence you have to produce, not the prompts you have to write: a scoped agent proof of concept at Munich enterprise rates, production agent deployment with multi-tool execution, guardrails, observability, kill-switch testing, and full BaFin BAIT or VDA TISAX documentation, or multi-agent enterprise rollouts at BMW Group, Siemens, or Allianz scale with red-teaming, evals, IP indemnity contracts, ISO 26262 alignment, and integration into existing SIEM and ITSM estates. Scope drivers include EU AI Act classification, evaluation set construction, framework bake-off, and a working agent against one workflow with a kill-switch. Codazz quotes fixed-fee in EUR against a written statement of work, billed against milestones not hours. Your Geschäftsführung gets a signed number in one cycle, not the open time-and-materials nightmare that has defined several Munich AI engagements in 2024 and 2025.

The EU AI Act entered into force August 2024, with prohibitions live February 2025, general-purpose AI obligations live August 2025, high-risk obligations live August 2026, and the embedded high-risk timetable August 2027. For Munich enterprise agents, the high-risk classifications most commonly hit are biometric identification, critical infrastructure (Siemens grid agents), employment and worker management (HR agents at BMW or Allianz), creditworthiness and fraud (HypoVereinsbank), insurance pricing (Allianz, Munich Re), and law enforcement support. Our discovery classifies every agent against Annex III, produces the Article 13 transparency artefact, the Article 14 human oversight design, and the Article 17 quality management system documentation. We register general-purpose AI providers under Article 53 obligations where applicable. The artefact is written in the format BayLDA reviewers and BaFin examiners expect, not in the format that sounds clever in a board presentation.

AWS Bedrock eu-central-1 Frankfurt and eu-west-1 Ireland host Claude 3.5 Sonnet, Llama 3, and Mistral inside EU jurisdiction. Azure Germany West Central in Frankfurt and Sweden Central host GPT-4o and embeddings under GDPR. Vertex AI europe-west3 Frankfurt and europe-west4 Eemshaven host Gemini 1.5 Pro and Flash. For workloads that cannot leave Germany under BaFin DORA, TISAX, or BMW VDA ISA requirements, we deploy self-hosted Llama 3 70B and Mistral Large on T-Systems sovereign cloud, IONOS Munich, or Hetzner Falkenstein GPU instances. Cross-border calls happen only when a documented Article 35 DPIA signs off, typically for non-sensitive internal tooling. The default residency posture is German first, then EU, then cross-border with documented justification. BayLDA reviewers see the answer they expect in the format they expect.

Yes, and the pattern is well-defined. Connected-vehicle agents touching steering, braking, or powertrain are ISO 26262 ASIL B to D and must meet UNECE WP.29 R155 Cybersecurity Management System and R156 Software Update Management System. Our discovery runs the ASIL hazard analysis and risk assessment alongside the CSMS gap analysis. Agent execution is sandboxed away from safety-critical ECUs, and tool-use is allowlisted to non-safety-critical endpoints. The agent itself runs in the cloud or the head-unit infotainment side, never on the safety domain. We have patterned against the BMW iX and i7 architecture and the MAN TGX telematics architecture, and we coordinate with the OEM's TISAX-certified information security team during onboarding. VDA ISA 6.0 controls slot into the engagement plan from day one.

BaFin-regulated agent deployments at HypoVereinsbank, Allianz, or Munich Re ship with a defined autonomy ladder. Level 0 is suggestion only, with every action surfaced to a human. Level 1 is supervised execution, where the agent acts on low-stakes tasks with logging but a human reviews exceptions. Level 2 is bounded autonomy, where the agent acts within a hard allowlist of tools and value thresholds. Level 3 is high autonomy, gated by a kill-switch, hard rate limits, and real-time anomaly detection. Every action is logged to Splunk or QRadar with the prompt, model version, tool calls, and human override status. BaFin MaRisk AT 9 outsourcing, BAIT, and DORA Article 6 ICT risk management are documented at level. The kill-switch is tested weekly in production. No agent goes live above Level 1 without a BaFin examiner-ready audit trail and a documented incident response runbook.

No single framework wins every Munich use case. LangGraph wins when the workflow is a deterministic state machine with branching — claims triage at Allianz, regulatory drafting at HypoVereinsbank, structured data extraction at Siemens factory floors. The OpenAI Agents SDK wins when handoffs between specialised agents matter and you are already on the Azure OpenAI stack. The Anthropic claude-agent-sdk wins for long-running file-system and code-execution tasks like the engineering copilot work at Siemens Digital Industries Software. AutoGen wins for multi-agent debate and consensus patterns useful in catastrophe modelling at Munich Re. CrewAI wins for role-based crews where each role has a clear job description. We run a structured bake-off against your frozen evaluation set in week 2 and present the trade-off matrix before the build decision. We will not pick the framework we last quoted from.

GDPR Article 22 prohibits decisions based solely on automated processing that produce legal or similarly significant effects unless one of the lawful bases applies — explicit consent, contractual necessity, or Member State law. For Munich agent deployments at Allianz, Munich Re, HypoVereinsbank, and Siemens HR, we map every agent action against Article 22. Where the decision is in scope, we either route to human review before execution (preserving the right to human intervention under Article 22(3)), document the legal basis explicitly inside the BayLDA-aligned register, or scope the agent to an advisory function with the human as the actual decision-maker. The Article 13 and 14 transparency notices are drafted alongside, and we coordinate with the client's Datenschutzbeauftragter on the final wording. BayLDA in Ansbach has been more active on Article 22 than several other DPAs, and our patterns mirror their published guidance.

A single-workflow agent deployment takes twelve to eighteen weeks from kickoff to production autonomy, assuming clean source data and stakeholder availability on Munich hours. Week 1 to 3 is discovery — EU AI Act classification, GDPR DPIA, sector-specific gap analysis (ISO 26262, BAIT, TISAX). Week 4 to 5 is the framework bake-off. Week 6 to 10 is build and tool integration into existing enterprise systems (SAP, Salesforce, ServiceNow, Genesys). Week 11 to 12 is the prompt-injection red-team, kill-switch test, and Article 33 breach drill. Week 13 to 14 is shadow mode. Week 15 to 16 is supervised pilot. Week 17 to 18 is bounded autonomy with human override. Multi-agent enterprise rollouts at BMW, Siemens, or Allianz scale extend to thirty-two to forty-four weeks. Fixed-fee against milestones, no time-and-materials, written rollback documented before any production traffic.