Case studies
Data platform, AI and governance work with global enterprises.
Engagements across Europe, Japan and North America — from lakehouse migrations to agentic AI in production. Select a case study to read it in full.
Azure Databricks · Data & AI
Data and AI partner to the GCC
Multiple data and AI use cases on an Azure Databricks platform, for analytics teams across business functions and for advanced R&D.
Top 3
global tyre brand · Fortune 500
Client
Global tyre manufacturer, Fortune 500, Europe. Direct client.
Engagement model
Data and AI partner to the client's Global Capability Centre, implementing multiple data and AI use cases.
What we did
Data engineering
End-to-end data pipelines for analytics teams across business functions.
Business analytics
Marketing observability, product-wise analytics and global supply chain analysis.
Advanced AI R&D
Computer vision, GenAI and satellite imagery analysis contributing to R&D efforts.
Outcomes
✓ Multiple data automations built with Azure Data Factory and Azure Databricks
✓ AI use cases implemented for R&D and business teams
Tech stack
CX & network AI
Customer experience and network AI
Multiple initiatives across customer satisfaction, customer success and OSS data analytics for a telecom provider that is part of a global internet and e-commerce group.
10M+
active telecom subscribers
Client
Telecom provider in Japan, part of a global internet and e-commerce group. Direct client.
Engagement model
Multiple pods deployed across projects, with a 30+ member team active.
What we did
Emotions platform
Analyses end-customer sentiment, with transparency dashboards and recommendations.
Agentic NOC assistant
Helps NOC operators identify and resolve network issues quickly.
OSS data analytics
Analytics on OSS data to improve network operations.
Outcomes
✓ Improved overall customer satisfaction
✓ Faster NOC issue resolution
✓ 30+ member team across pods
Tech stack
Agentic AI on AWS
Agentic AI for infrastructure and DevOps
Raising the efficiency of the client's internal infrastructure and DevOps teams — starting with consultancy and growing into a dedicated delivery pod.
~$1B
budget across cutting-edge initiatives
Client
Mobility R&D arm of a world-leading automaker, with global presence. Direct client.
Engagement model
Started with consultancy; now a dedicated pod delivering efficiency and automation use cases.
What we did
Consultancy
Improving efficiency of internal infrastructure and DevOps teams.
Dedicated pod
Implementing efficiency-improvement and automation use cases.
Agentic AI assistants
AI assistants for infrastructure and DevOps teams, on AWS.
Outcomes
✓ From consultancy to a dedicated delivery pod
✓ Agentic assistants in use by infrastructure and DevOps teams
Tech stack
GCP data platform
Modernising the data platform of a global staffing company
One platform serving the talent-placement and outplacement tech arms of a global staffing group, replacing a heavily customised multi-tenant back-end.
1M+
workforce employed worldwide
Client
Talent and outplacement tech arms of a global staffing group, USA. Direct client.
Engagement model
4+ year partnership: design consultation, architecture, migration and post-migration support.
What we did
One central platform
Replaced a heavily customised multi-tenant back-end on GCP.
Built to extend
Every enterprise customer served from a single, extensible layer.
Full migration
All customer data migrated and governed with Dataplex on BigQuery.
Cost under control
Cost observability and optimisation built in from the start.
Outcomes
✓ Single extensible platform for every enterprise customer
✓ Governed data on BigQuery
✓ 4+ year partnership
Tech stack
Azure data & AI
Azure data and AI platform
We built the data and AI platform on Azure, then delivered three AI use cases for the lending division — from RV loan documents to a member chatbot.
#7
largest credit union in the US
Client
Banking: deposits and loans. Chicago, IL. Direct client.
Engagement model
AI innovation partner for the lending division, as an Azure Data & AI Solutions Partner.
What we did
RV lending document automation
Digitised custom documents for add-on products sold with RV loans; extracted data flows into Cosmos DB.
Underwriting automation
End-to-end automation of the lending workflow, digitising scanned underwriting documents.
Member chatbot
A holistic assistant with personalised next actions, FAQ support and more.
Outcomes
✓ Azure data and AI platform in place
✓ Three AI use cases delivered for lending
Tech stack
AI on AWS
AI learning assistant
The client hosts tests and learning content for leading academic publishers and GRE / GMAT programmes. We built an AI assistant that supports learners across the journey.
10M+
learners have used the platform
Client
B2B EdTech: test prep and certification. Direct client.
Engagement model
AI use-case implementation partner: architecture and build on AWS.
What we did
Learning
Guides learners through course content.
Test preparation
Helps learners practise and prepare.
Test conduction
Assists during online test delivery.
Outcomes
✓ One assistant across learning, preparation and testing
✓ Architected and built on AWS
Tech stack
AWS + Snowflake
Data modernisation programme
The client produces compliance reports by analysing data and documents on products and their many parts. We are modernising the data platform across three initiatives.
$200M+
annual revenue
Client
ESG and product compliance SaaS, Canada. Direct client.
Engagement model
1+ year; a 15-member team working with the data team across three initiatives.
What we did
Automated data ingestion
AWS automation onboarding data from thousands of suppliers and millions of products into Snowflake, with low-cost extraction from data sheets.
Modern data platform
Replacing 15 years of per-customer automations with a generic AWS + Snowflake platform, easy to extend and maintain.
Data governance
DAMA-based assessment and end-to-end governance strategy; implementation under way.
Outcomes
✓ Generic, extensible platform replacing per-customer automations
✓ Governance strategy defined and being implemented
Tech stack
Migration to Snowflake
Migration to Snowflake
A 12-month, end-to-end migration from on-premise SQL Server and Tableau reporting to a Snowflake platform, with governance built in.
1 month → 2–3 days
report refresh time
Client
Lending: SMB loans, $200M+ assets under management. Delivered with an SI.
Engagement model
12-month end-to-end data platform migration programme.
What we did
Platform migration
Migrated from on-premise SQL Server and Tableau reporting to a Snowflake-based platform.
Ingestion and ETL
Onboarded ingestion, ETL and the warehouse onto Azure Data Factory + Snowflake.
Data governance
Implemented data governance within the new platform.
Outcomes
✓ Report refresh from ~1 month, fully manual, to 2–3 days, automated
✓ Governed platform on Snowflake
Tech stack
AI on Databricks
AI enablement on Databricks
Analysing millions of insurance documents for many purposes, at scale and at low cost, for one of the largest B2B insurers ($14.6B annual revenue, FY2025).
Millions
of insurance documents to analyse
Client
One of the largest US B2B insurers. Delivered with an SI.
Engagement model
Ongoing dedicated team of 4 working alongside the client's data lead.
What we did
Scalable document system
A highly scalable, efficient, low-cost platform that parses millions of documents.
OCR on Databricks
Cost-efficient OCR built natively on the data platform.
PFAS presence detection
Key use case: analysing documents to discover where PFAS is present.
AI and GenAI enablement
End-to-end AI and GenAI capability on Databricks.
Outcomes
✓ Low-cost document analysis at scale
✓ AI and GenAI capability on the client's own data platform
Tech stack
DAMA data governance
DAMA-based data governance
An AWS-based in-house data platform, with data captured largely from third-party sources across many functions — assessed and given a governance roadmap.
3,500+
franchise restaurants across the US
Client
Owner of two iconic US casual-dining brands; listed company. Delivered with an SI.
Engagement model
Data governance assessment, followed by a governance solution and implementation roadmap.
What we did
Stakeholder discovery
Across business functions.
DAMA assessment
Of a complex data landscape.
Assessment report
Findings and gaps.
Roadmap
Governance implementation plan.
Outcomes
✓ Improved data quality metrics
✓ Governed, compliant reporting of numbers
✓ Greater confidence in data overall
Tech stack
GCP · Graph AI
OSS modernisation and graph AI
Modernising the Operations Support System on Google Cloud for one of the largest US telecom providers ($138B annual revenue, 147M wireless subscribers, FY2025).
Tier-1
one of the largest US telecom providers
Client
Wireless and network services. Delivered with an SI.
Engagement model
A team of 10 contributing to the OSS modernisation programme on GCP.
What we did
OSS data
Inventory, alarms, KPI and performance data.
GCP data platform
Migrated with the Google data toolset.
Graph neural networks
Built on inventory data to solve alarm correlation, root cause analysis, anomaly detection and anomaly prediction.
Outcomes
✓ OSS data on a modern GCP platform
✓ GNN models for alarm correlation, RCA and anomaly prediction
Tech stack
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