Asset Management & Remarketing
Maximise Residual Value with Proven Asset Management Strategies
The growing adoption of Pay per Use and Everything As a Service (XaaS) models—delivering outcome-based solutions through servitisation—is placing much greater emphasis on the underlying equipment, its overall performance, and its ability to support additional services. As companies embrace these new go-to-market approaches, the focus intensifies on asset quality and equipment-related risk.
Building Lifecycle Strategies That Align with Risk and Growth
We help clients determine the most appropriate asset lifecycle management solutions and go-to-market models to align with their risk appetite and commercial goals. This includes identifying the most attractive equipment segments and building the internal capabilities to support success—particularly in markets adopting Pay per Use and XaaS models.
Benchmarking and Operational Improvement
Using our proprietary diagnostic tools, we benchmark your current asset lifecycle and remarketing operations against global best-in-class practices. We then support the development and embedding of effective processes, policies, systems, and controls—all designed to deliver consistent commercial performance and minimise execution risk.
Supporting the Transition to Circular and Sustainable Models
As climate change and ESG (Environmental, Social, and Governance) priorities rise on the agenda, the asset finance industry has a unique opportunity to lead. Our expertise in equipment lifecycle optimisation supports the shift toward circular economy models—extending asset life, minimising waste, and delivering value for both the bottom line and the planet.
Revenue / Margin Growth
New market entry
New asset classes
Value proposition development and market testing
New products (e.g. Pay Per Use, As a Service, Subscription)
Asset management and remarketing
Post deal support
Risk Management
Service risks
Asset risks
Usage risk
New Challenges
ESG and the Circular Economy
Industry 4.0, Internet of Things (IOT) and its potential
Predictive Analytics
Specific Problem to Fix
Rapid diagnostic
Systems evaluation
Processes deep-dive