Blog
Field notes on enterprise AI
The questions, bottlenecks and working approaches we run into again and again on real projects.
CRM and Sales Automation
CRM AI: Why Doesn't Sales Data Stay Up to Date?
Following the flow from a conversation to a record and from a record to a forecast, we look at why the CRM doesn't stay current: the data entry burden, forecasts built on missing data, opportunity scoring, scattered customer data and what to watch out for with personal data.
Enterprise AI
Shadow AI: The Hidden Risk of Enterprise AI
Employees using AI tools from personal accounts, in other words shadow AI, isn't solved by a ban but by a visible, manageable enterprise AI layer. We look at why it happens, its four core risks and the first steps an organization can take.
SAP and AI
SAP AI: What Really Changes in ABAP Development
In SAP teams, the real impact of AI shows up in the first-level support load and in recurring ABAP development requests. We look at why general-purpose models fall short with Z objects, and why every generated development must go through approval.
Spend Management
Why Does Expense Management Get Stuck? The Real Difference in Spend Automation
From collecting receipts to the approval chain, we look at where the corporate expense process gets stuck and at the real difference spend automation makes: applying rules at the moment of entry and leaving an auditable trail.