Artificial intelligence use cases

SAP to Databricks transformation

Move your legacy SAP data to a modern Lakehouse faster and more cost-effectively.

SAS to Databricks

Modernise analytical workloads by transitioning from legacy SAS environments to Databricks.

SAP BW migration

Reduce the migration scope by identifying inactive and unused logic.

AI agent for Upsell/Xsell

Transform account management into a proactive, AI-driven revenue engine, reducing administrative overhead and increasing commercial impact.

Communication inspector

Replace manual sampling with continuous, explainable AI-driven analysis of calls, chats, and emails.

Dynamic pricing

Optimise pricing strategies by integrating market dynamics, competitor data, and demand signals to maximise competitiveness and margins.

Quality inspector

Automate production quality control using advanced visual models with high accuracy, even in complex environments involving 3D or thermal imaging.

AI technical knowledge assistant

Combine structured SAP data with unstructured knowledge sources to support technicians, automate tasks, and accelerate issue resolution.

Shelf inspector

Move from manual checks to real-time shelf intelligence, improving product availability, compliance, and in-store execution.

AI agent for operations and claims

Automate claims processing and support teams with AI-driven workflows, improving speed and accuracy.

Fraud, risk and AML detection

Boost the security of digital transactions and online activities by analysing thousands of data points in real-time and flagging suspicious transactions or fraudulent claims.

Risk scoring with machine learning

Improve credit risk assessment with advanced models that go beyond traditional statistical approaches.

AI calving

Use real-time camera-based AI detection to monitor livestock and anticipate calving events, enabling timely intervention and reducing risk.

Digital pathology pipeline

Accelerate drug development and reduce costs through large-scale automated medical image analysis.

Proactive renewals and churn prevention

Identify at-risk customers and enable timely interventions to improve retention and lifetime value.