AI Governance Consulting Company in Berlin

QServices is a remote-first software consultancy. We are not headquartered in Berlin, but we work with Berlin clients in Tech, FinTech, and Manufacturing on AI governance engagements with three to four hours of CET morning overlap each day. View our full services catalogue.

What Berlin buyers typically need from AI governance consulting

Berlin’s FinTech firms operate under EU GDPR and BaFin supervision. Manufacturing companies face increasing pressure from the EU AI Act. Tech companies shipping LLM-powered products need systematic evaluation and drift monitoring. The governance requirements across these sectors are concrete and specific, not theoretical.

The most common requests we see from firms in Berlin’s primary industries:

• GDPR Article 22 compliance for automated decisions: Financial and tech firms need documented justification for automated decision-making systems, with human review mechanisms that satisfy GDPR’s right-to-explanation requirements.
• BaFin MaRisk/BAIT-aligned audit trails: FinTech firms supervised by BaFin need IT system documentation and auditability that meets the BAIT circular requirements for algorithmic systems in financial services.
• EU AI Act readiness: Companies deploying high-risk AI systems in financial services and manufacturing quality control need conformity assessments and technical documentation aligned to the EU AI Act.
• Human-in-the-Loop (HITL) design: Manufacturing clients using AI for predictive maintenance or quality inspection need review workflows with clearly defined human checkpoints that auditors and certification bodies can inspect.
• Production model evaluation: Tech companies shipping AI features need systematic drift monitoring so model degradation is detected before it reaches users.

How we work with Berlin clients

We are based in India and work fully remote. Our team operates on IST (UTC+5:30). Berlin is CET (UTC+1) in winter and CEST (UTC+2) in summer, which gives us a three-to-four hour overlap window each morning, typically 8:00 to 12:00 CET. That window is enough for daily standups, design reviews, and unblocking sessions without anyone working unusual hours.

In practice, Berlin engagements run like this: a weekly video standup in the CET morning window, async updates in Microsoft Teams or Slack between sessions with a same-day response commitment for anything flagged urgent, and pull request-based code reviews with written commentary so there is a documented record of every design decision. For milestone reviews, typically at week two and at delivery, we schedule a longer session with materials shared in advance so the meeting itself covers decisions rather than presentations.

Data for EU clients stays on EU-region Azure infrastructure by default. We document the data flow and residency boundaries as part of the governance deliverable, which satisfies GDPR Article 30 record-keeping obligations. We do not currently offer on-site visits to Berlin. If in-person milestone reviews are a procurement requirement, raise it in the discovery call so we can plan accordingly.

Relevant work in similar markets

We do not have a published case study for a Berlin-based client. We will not fabricate one. Our AI governance and HITL work has been delivered for clients in regulated industries, specifically FinTech and enterprise software, that share the compliance pressures of Berlin’s primary sectors.

The pattern across those engagements: we start with a governance audit of the AI system in scope, design HITL touchpoints based on the actual volume of decisions reviewers can handle per day (not a theoretical maximum), wire in evaluation using Azure AI Foundry’s evaluation SDK, and build audit logging against the specific regulatory standard in scope. For a FinTech client, that meant documentation aligned to financial regulator auditability requirements. For a manufacturing client, it meant quality documentation aligned to ISO 9001 review processes.

If BaFin auditability is your primary driver, the FinTech engagement pattern is the closest analogue to your situation. We can walk through the specifics on a discovery call before any commitment.

What AI governance consulting costs for a typical Berlin project

Our AI governance engagements range from $15,000 to $90,000 USD, with timelines of four to twelve weeks. Engagements are priced in USD.

• Small scope ($15,000–$30,000): Governance audit of one AI system, HITL design for a defined workflow, policy framework document. Four to six weeks.
• Medium scope ($30,000–$60,000): End-to-end governance framework, evaluation setup in Azure AI Foundry, audit trail implementation, GDPR Article 22 compliance documentation. Six to ten weeks.
• Large scope ($60,000–$90,000): Multi-system governance, BaFin-aligned documentation package, production evaluation framework, HITL workflow implementation, compliance review coordination. Ten to twelve weeks.

For BaFin-supervised engagements, add 15–25% for compliance documentation overhead. Third-party compliance review adds $5,000–$20,000 depending on scope. Full pricing detail is on our AI governance consulting pricing page.

How to start working with us

Three steps from first contact to project start:

1. Discovery call (30 minutes): We discuss your AI systems, the regulatory environment, and the governance outcome you need. No preparation required.
2. Scoping document: Within three to five business days, we send a written scope covering deliverables, timeline, team composition, and cost.
3. Project start: On agreement, we begin with a kickoff in the CET morning window and set up async communication channels the same day.

Can you work with Berlin companies remotely?

Yes. All our Berlin engagements are remote. We use Microsoft Teams or Slack depending on your tooling, with three to four hours of morning overlap in CET for live sessions. EU client data stays on EU-region Azure infrastructure, and data residency documentation is included in every governance deliverable. We do not have a Berlin office. See our AI governance consulting service page for a full description of how engagements are structured.