Case Kauppakeskus Mylly: AI in the most business-critical process.
Rework helped Finland’s leading large shopping centre to identify concrete, measurable business value from adopting AI. In this video, CEO Mari Hantula talks through our collaboration and the tangible results achieved. Kauppakeskus Mylly, owned by Turun Osuuskauppa and SOK, is a six-time winner in trust and reputation among large shopping centres and the sixth property in the world to receive a platinum safety certification.
Optimizing procure-to-pay with AI
Group finance operations
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.
Building an AI-first finance model
International industrial company
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.
Redesigning the operating model for speed, scale, and quality
Education business
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.
Reimagining employee onboarding with AI agents
Large financial services operator
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.
Building an AI-native rental process
Large retailer
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.
Centralizing customer support across languages and locations
Industrial systems
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.