
You want to invest in AI, but the ROI has not yet been quantified.
We start with your data: a quantified ROI model and architecture blueprint, ready for management approval.
Before a platform is built or an agent goes live, we clarify where your company stands: Which data is reliable, which processes are sustainable, and which use cases are worthwhile first. The result is not a set of slides, but a quantified business case and a roadmap that management can use to make decisions.
Positioning before the first euro: data quality, system landscape and use cases evaluated, with ROI model and prioritized roadmap.
Target architecture for platform and in-house development: what HubSpot handles, what in-house software provides, and how both interact.
Sales, marketing and service processes are designed to be mapped in the CRM, instead of existing alongside it in spreadsheets.
Roles, responsibilities and guidelines for working with AI agents, defined before the first agent goes into production.

You want to invest in AI, but the ROI has not yet been quantified.

Your data is stored in multiple systems and nobody knows the complete customer profile.

Previous proof-of-concept projects fizzled out without ever being implemented.

A decision is pending that requires a sound basis.

It is unclear what the platform will handle and what will remain in-house development.
We build the platform: CRM, custom software and the data flows between them, properly integrated instead of side by side.
We embed operations, adoption and security in everyday work, so the platform is carried by the team after the rollout.
Agents take over recurring work, monitored and measurable, with clear rules for governance and compliance.