Your knowledge. Your systems. Connected with purpose.

The concrete outcome

Agreed outcome: secure connections to knowledge and tools. lol.marketing delivers permissions, MCP/API architecture, tests and operating manual in a form that can be reviewed, continued and operated internally.

Acceptance is not based on presentation impact but on agreed cases, quality criteria and control paths.

How the engagement works

• Record baseline, goal and owners
• Review data, permissions and edge cases
• Build and test with realistic cases
• Accept, document and hand over into operations

Price and boundaries

The lol.marketing fee is agreed individually after scope confirmation. Provider subscriptions, API charges, third parties, additional legal review and work outside the agreed scope are excluded.

Help your existing systems work together

A contact sits in an inbox, the proposal lives in the CRM and campaign results are collected in a spreadsheet. People copy information and disagree about which version is current. Tool integration connects the systems where work actually moves between teams.

We plan and implement those handovers around the business process. Connections may involve website forms, CRM, email platforms, reporting and AI applications. Success is judged by whether the right information reaches the right place reliably, rather than by how many software logos appear in a diagram.

When the service is useful

The service fits businesses that want to retain existing tools while reducing duplicate data handling. It also helps when a planned AI application needs dependable access to particular information. A well-described exchange is the strongest starting point.

We first check which functions are actually available. Interfaces, permissions, subscription limits and data quality can affect the scope. An advertised integration does not automatically cover every required action or field in a particular customer's setup.

What a sound integration includes

For the agreed process, we define the source, destination, field mapping and transfer trigger. We establish which system owns each piece of information and how changes or repeated events are handled. Required access is configured for the intended purpose.

Implementation includes the agreed connections, checks and understandable documentation. Failures need to be visible and have a defined handling route. Later additions of systems or data flows are separately described so scope and responsibility remain manageable.

From feasibility to handover

We inspect the existing workflow and available technical options. Together we agree a specific data flow. A bounded test using suitable examples checks mapping and exception behaviour. The agreed introduction follows, with joint review of what actually arrives in each system.

In an explicitly hypothetical example, a website form creates a uniquely identified enquiry. The integration finds an appropriate CRM contact and links the message to a task. A later status change updates the responsible team's overview. If the CRM connection fails, the enquiry remains visible and can be handled through the agreed procedure.

Our own product · Technology in practice

In Verbandbuch.org, we connect mobile QR reporting and role-based processing with AI translation through the Anthropic API. Authorised people have selected fields in foreign-language reports translated into German, review the result and explicitly choose whether to apply it. Our own product demonstrates an integration with a clear task followed by a human decision.

SiGeKo demonstrates another implementation from our own product work: the web app connects OpenAI to specific capture and review workflows. Source references, previews and explicit application connect the integration to the actual task. Separate organisations, team roles and a portal for invited company contacts structure the subsequent collaboration.

Requirements and cost factors

We need a business description of the information, access to system owners and suitable permissions. We agree appropriate test environments or sample data beforehand. Confidential information is not unnecessarily transferred into additional systems.

Effort depends on interface quality, data volume, mapping rules, documentation and exception handling. Ongoing platform charges and support are specified in the proposal. Provider changes may require later adjustments, so the intended maintenance arrangement is made explicit.

Can you connect the tools we already use?

We assess the exact combination and required functions. A blanket promise before that review would be unreliable. If a proposed route is unsuitable, we explain its limitations and viable alternatives.

Does every integration need AI?

No. Many handovers work with fixed mappings and rules. AI is added where tasks such as structuring free text or preparing information for expert review justify it.

Who maintains the connection afterwards?

Responsibility is agreed and documented during the project. Handover to your team or ongoing support can be arranged. AI automation and AI reporting can build further working processes on top of the connection.