Articles
Every case study and learning post, newest first. 24 articles so far.
- Manufacturing
Caterpillar Cat Digital: How Predictive Maintenance Cuts Downtime Across 1.5 Million Machines
How Caterpillar built a data platform across 1.5 million connected machines to flag failures before they happen, and what an enterprise would need to copy the approach.
- Financial Services
Morgan Stanley AI Debrief and DevGen.AI: What 98% Advisor Adoption and 9 Million Lines of Legacy Code Reveal About Purpose-Built Enterprise AI
Morgan Stanley deployed two distinct purpose-built AI tools: Debrief for wealth advisor meetings and DevGen.AI for COBOL modernisation. Here is what the numbers actually mean, what was not disclosed, and what other enterprises can replicate.
- Travel
Booking Holdings AI Transformation: How a $27B Travel Giant Cut Costs, Accelerated Developers, and Rebuilt Customer Service with AI
Booking Holdings exceeded its $450M restructuring target by $100M, cut customer service cost per reservation by ~10%, and deployed AI across five travel brands using a deliberate multi-LLM strategy that avoids vendor lock-in.
- Leadership
Agentic AI: What Enterprise Leaders Need to Decide Before the 40% Cull Arrives
With strong ROI data on one side and Gartner predicting 40% of agentic AI projects will be cancelled by 2027 on the other, enterprise leaders face a decision that cannot wait for the next planning cycle.
- Banking
Bank of America Erica: How a 20-Million-User AI Assistant Became the Operating Layer for One of the World's Largest Banks
Bank of America's Erica started as a simple banking chatbot in 2018. By 2026 it had 20 million users, 3.2 billion interactions, and a scaled clone running inside every major business line from treasury to wealth management. Here is what the system actually is, what the numbers mean, and what enterprises can learn from it.
- Telecoms
Verizon Personal Research Assistant: How a 28,000-Rep Contact Center Used AI to Cut Call Times and Lift Service-Channel Sales by 40%
Verizon deployed a Google Cloud-powered Personal Research Assistant to 28,000 customer care reps, cutting call times and reporting a nearly 40% sales increase through its service team. Here is how the system works, what the numbers actually mean, and what other enterprises can replicate.
- Financial Services
Goldman Sachs GS AI: How a Major Bank Built a Multi-Model AI Platform, Deployed Autonomous Coding Agents, and What the Productivity Numbers Actually Mean
Goldman Sachs rolled out GitHub Copilot to 9,000+ developers, built an internal multi-model AI platform serving nearly all employees, and piloted autonomous coding agents via Devin. Here is how the architecture works, what the productivity figures actually measure, and what other enterprises can replicate.
- Leadership
AI Compliance Deadlines: What Leaders Must Prove Before August 2026
Colorado's AI Act fires June 30, EU AI Act high-risk requirements land August 2. The shift regulators and enterprise buyers are demanding is not better policies — it is auditable proof that your controls actually work.
- Insurance
Allianz AI: How Europe's Largest Insurer Built Fraud Detection, RAG Underwriting, and a 7-Agent Claims Pipeline
Allianz deployed three distinct AI systems across its global operations: Incognito for fraud detection, BRIAN for underwriting guidance via RAG, and Project Nemo, a 7-agent pipeline that cut food spoilage claims settlement time by 80%. Here is how each system works and what the metrics actually mean.
- Telecoms
Vodafone SuperTOBi: How a 300-Million-Customer Telco Rebuilt Its AI Customer Service From the Ground Up
Vodafone's SuperTOBi replaced a decade-old keyword chatbot with a generative AI system across all European markets, lifting first-contact resolution from 15% to 60% in its first pilot and achieving a 70%+ end-to-end resolution rate at scale.
- Manufacturing
Siemens Industrial Copilot: How AI Is Cutting Engineering Hours and Maintenance Downtime in Manufacturing
Siemens Industrial Copilot embeds generative AI into factory engineering and maintenance workflows across 120,000 engineers and 100+ companies. Here is how it works, what it actually saved, and what enterprises in any sector can replicate.
- Leadership
The AI Delivery Gap: What Separates Leaders Who See Results from Those Still Running Pilots
Accenture research shows only 32% of enterprises achieve sustained, enterprise-wide AI impact. The gap is not technology. It is delivery, integration, and organisational will.