AI Use Cases

Practical AI applications we deliver for enterprise customers across operations, customer experience, security and compliance.

Operations

Demand Forecasting and Workforce Optimisation

Using Lakehouse data, AI models forecast contact volumes, orders and service demand from historical patterns, seasonality and business events. Optimises staffing and capacity before peaks occur.

Forecast demand using unified enterprise data
Optimise staffing, shifts and infrastructure capacity
Track model performance through MLflow
Customer Experience

Contact Centre Intelligence and Agent Assist

AI Functions analyse calls and chats for intent, sentiment and next steps. Vector Search provides approved answers and customer context while automating routine after-call administration.

Surface governed answers during customer conversations
Automate summaries and after-call administration
✓ Escalate dissatisfied or vulnerable customers appropriately
Customer Experience

Customer Churn Prediction and Next-Best Action

MLflow-managed models predict which customers may leave, identify key risk drivers and recommend the retention action most likely to protect revenue and strengthen customer relationships.

Identify at-risk customers before they leave
Serve personalised retention actions in real time
Measure model performance and campaign uplift
Healthcare

Clinical Documentation and Coding Assistant

Databricks AI generates draft clinical notes, discharge summaries and coding suggestions from consultations and records. Unity Catalog protects evidence-linked outputs before clinicians approve final documentation.

Reduce clinical documentation and administration time
Improve note completeness and coding consistency
Govern patient data and model access
Compliance

Continuous Communications and Conduct Monitoring

AI Functions monitor calls, chats and emails for missing disclosures, complaints, hardship, vulnerability and potential misconduct. High-risk interactions are prioritised for review with supporting evidence.

Monitor communications across every customer channel
Detect conduct and compliance risks earlier
Govern review evidence through Unity Catalog
Customer Experience

Personalised Content and Recommendations

AI-driven personalisation engines that tailor content, product recommendations and communications based on customer behaviour, preferences and lifecycle stage.

Real-time personalisation across channels
Increase engagement and conversion rates
Privacy-preserving recommendation models
Security

Security Operations Copilot and Threat Detection

Databricks AI correlates alerts, logs, threat intelligence and asset context to identify genuine threats. AI Search supports incident narratives, recommended responses and approved security actions.

Prioritise alerts according to business risk
Accelerate investigation with governed enterprise context
Trace agent actions through MLflow
Compliance

Automated Control Testing and Evidence Collection

Databricks agents continuously gather control evidence, test whether controls operate effectively and explain exceptions. Unity Catalog maintains traceability across obligations, controls, owners and remediation.

Collect and organise evidence across systems
Identify control failures before formal audits
Produce governed, audit-ready compliance reporting
Healthcare

Multi-Channel AI Agent for Patient Pre-Appointments

AI Search reviews patient records, identifies missing information and supports updates through voice, SMS or digital channels. Produces structured pre-visit summaries and escalates urgent responses.

Save clinicians 5+ hours per week through automated pre-appointment data collection
RAG-powered personalised questions based on complete patient history
20%+ increase in patient engagement through accessible voice and SMS channels
Self-learning system that updates records after each interaction