Large retailer
Building an AI-native rental process
We worked with a major shopping centre operator to model and redesign its business-critical rental process end to end. The project focused on improving process flow across rental, space management, and customer-related workflows while identifying and prioritizing the most relevant AI and automation opportunities. The result was a validated roadmap toward a more scalable rental operating model with less manual work, better transparency, and stronger process quality.
Large financial services operator
Reimagining employee onboarding with AI agents
We helped a large financial services organization optimize employee onboarding by analyzing the workflow end to end and identifying where AI agents could take over repetitive tasks. The redesigned process reduced manual work and improved scalability. The business case pointed to around 30% cost savings with an expected payback of 3 to 18 months.
Group finance operations
Optimizing procure-to-pay with AI
We helped a group finance organization redesign its procure-to-pay process through deep workflow analysis and AI agents. The goal was to reduce manual effort, improve efficiency, and create a scalable operating model. The work identified around 30% cost savings with a 12-month payback.
International industrial company
Building an AI-first finance model
We supported an international industrial company in shaping its AI-first finance strategy, roadmap, and operating model. The work focused on redesigning both outsourced and in-house processes, streamlining operations, and reducing manual work across finance.
Education business
Redesigning the operating model for speed, scale, and quality
We worked with an education business to redesign its operating model around AI. The transformation aimed to deliver significantly faster and more scalable operations while improving both customer and employee experience. AI opportunities included demand detection from free text, CV and competence management, and real-time matching.
Industrial systems
Centralizing customer support across languages and locations
We supported an industrial systems company in redesigning customer support with AI-enabled translation and a more centralized operating model. The goal was to move away from fragmented local operations and enable more scalable, language-independent service. The target outcome was 30%+ customer savings alongside improved sales performance.