Success Stories
Know thy customer
The challenge
A leading financial-services group needed to turn billions of monthly transactions into personalised experiences for their millions of customers - without compromising speed or compliance. Fragmented data made it impossible to identify high-value customers or act on next-best-product opportunities.
Our solution
- Unified data platform consolidating every transactional, product-usage and touchpoint feed.
- Robust enterprise data model with thousands of engineered features constantly refreshed.
- Real-time predictive models scoring each customers for risk, propensity and next-best-action across all channels.
- Omni-channel engagement engine that delivers hyper-personalised offers, fraud alerts and service nudges in milliseconds.
The impact
- R 2 billion incremental bottom-line uplift driven by:
↑ credit product sales
↑ insurance conversions
↑ premium payment reliability
↑ transactional, savings & credit product usage
↓ bad-debt write-offs and faster rehabilitation
↑ digital-channel adoption and safer customer behaviour
- 2x growth in high-quality customers segment, lifting overall Customer Lifetime Value across the board.
From data swamp to pristine lake
The challenge
A fast-growing B2B technology provider was struggling to deliver even the most fundamental engagement metrics to its enterprise clients. Each client operated on its own isolated database, leaving the company with fragmented data, inconsistent definitions, and no cohesive way to measure activity across sources. As a result, answering a basic question - how many customer interactions a client had facilitated - required manual, client-by-client counting that often took days. Leadership needed a robust, enterprise-grade data architecture that could unify these silos, standardise reporting, and provide reliable, scalable insight into the engagement their platform generated.
Our solution
- Designed automated data pipelines that consolidated information from previously isolated client databases into a single, well-structured data environment.
- Built the system so new sources could be added through simple configuration, with all required components provisioned automatically.
- Introduced a uniform enterprise data model based on a star-schema design, ensuring consistent definitions, simplified querying, and scalable analytics.
- Established consistent, automated daily reporting that provided clear visibility into user-engagement activity across all clients.
- Enabled accurate revenue tracking by standardising interaction data and ensuring it could be analysed at scale.
The impact
- Streamlined the data-processing architecture to reduce infrastructure and compute costs by more than half.
- Made revenue and engagement trends transparent, enabling data-driven strategy decisions.
- Equipped leadership with reliable insight that supported more profitable, operationally efficient growth.
Automate all the things
The challenge
High-volume support queries overwhelmed the service team and limited growth. Leadership wanted a modern, always-on channel that could answer specialised FAQs, product searches and stock checks - without hiring an entire new support division.
Our solution
- Conversational journey framework mapping every stage of the customer lifecycle to dialog states.
- Generative-AI engine trained on live and historical support transcripts, web content and inventory data.
- Dynamic state tracker capturing intent, context and sentiment in real time.
- Operational dashboards giving managers full visibility into engagement health and AI performance.
The impact
- 100 000+ customer engagements per month fully automated across web and mobile.
- Support-department cost saved, freeing agents to focus on complex, high-value cases.
- Faster responses, higher customer satisfaction and a scalable foundation for future channels (voice, WhatsApp, in-app).
Our Clients
