Success Stories
Know the customer
The challenge
A leading financial-services group needed to turn billions of monthly transactions into compliant, personalised engagement across millions of customers. Fragmented data blocked customer value and next-best-product decisions.
Our solution
- Unified transaction, product, and touchpoint data.
- Enterprise feature layer refreshed continuously.
- Real-time models for risk, propensity, and next best action.
- Omnichannel delivery for offers, alerts, and service nudges.
The impact
- R 2 billion incremental bottom-line uplift across credit, insurance, payments, savings, and digital adoption, while reducing bad-debt write-offs.
- 2x growth in high-quality customers, lifting overall customer lifetime value.
From data swamp to pristine lake
The challenge
A fast-growing B2B technology provider had client data split across isolated databases, making even basic engagement reporting slow, manual, and inconsistent.
Our solution
- Automated pipelines into one structured data environment.
- New sources added through simple configuration.
- Standardized enterprise data model built for scale.
- Daily reporting and accurate revenue tracking.
The impact
- Cut infrastructure and compute costs by more than half.
- Made engagement and revenue trends visible.
- Gave leadership reliable insight for more profitable growth.
Automate all the things
The challenge
High support volumes were limiting growth. Leadership needed an always-on channel for FAQs, product search, and stock checks without expanding the support team.
Our solution
- Conversational journey framework across the customer lifecycle.
- Generative AI grounded in support transcripts, web content, and inventory data.
- Real-time intent, context, and sentiment tracking.
- Dashboards for engagement health and AI performance.
The impact
- 100 000+ customer engagements per month fully automated across web and mobile.
- Lower support cost and more capacity for complex, high-value cases.
- Faster responses and a scalable base for future channels.
Clients
