AI, automation, and digital systems for Deutsche Stadtmarketing

The brief

Deutsche Stadtmarketing is an online marketing and AI agency. The team needed engineering capacity that could move across multiple problem areas without each one turning into its own siloed project, and could connect AI to the systems that actually run the business.

Customer communication systems

At Deutsche Stadtmarketing, that includes voice bots handling real customer interactions, not demo flows. The work covers conversation design, integration with backend systems, and the messy bits in between: handling ambiguity, fallbacks, escalation paths, and the operational telemetry the team needs to trust the system in production.

Automating internal and external software processes

A lot of the value sits in the boring middle layer: connecting existing tools so the team isn’t manually moving data between them. We pick up these integrations end-to-end: scoping the workflow, building the connectors, and handing them back with the monitoring that makes breakages surface fast.

Data-driven decision support

We turn the data the company already produces into systems that inform decisions: reporting that doesn’t need a weekly manual refresh, dashboards aimed at the people who actually need them, and data flows that can be reused as the question changes.

Digital marketing as engineering

SEO, Google Ads, and Analytics work that ties into the rest of the stack rather than living in isolated tools. The advantage of having the same partner on the marketing tech as on the operational systems is that the data joins up: campaign performance, customer signals, and backend events all end up in the same place.

How we worked

Each piece was scoped to deliver on its own while still fitting the larger stack. Requirements analysis, planning, and result presentation are part of how we deliver: the team sees what’s happening at each step, not just the final artifact.