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01
DATA
ANALYTICS

By utilizing machine learning techniques to examine data we are able to discover deeper insights, make predictions, and provide recommendations that result in higher revenue and profitability, lower costs, reduce risks, and improve customer engagement.

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  • Warranty AI reference architecture creation

  • AI use case ideation and POC builds

  • Advanced statistical analysis - causal inference and predictive fault behavior

  • Supervised and unsupervised machine learning algorithmic development

02
INTELLIGENT WARRANTY

Fusing legacy, transactional and sensory (telematics) data to generate actionable automated and human-machine interfaces (HMI) for predictive, prescriptive and precision warranty decisions in a collaborative warranty ecosystem.

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  • Ideation and strategy development

  • Opportunities assessment

  • Business case development

  • Business process improvement

  • Product development

  • Implementation, monitoring and optimization

  • Risk management and controls

  • Micro-services

  • Next-gen incubation

03
DIGITAL TRANSFORMATION

The application of digital capabilities across the entire enterprise, including processes, products and services, to enhance customer value, improve efficiencies, manage risks, and uncover monetization opportunities associated with warranties and extended warranties.

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  • Digital transformation maturity assessment

  • Vision, strategy and prioritized roadmap

  • Warranty innovation

  • Digitization and automation

  • Technologies and technical architecture

  • Implementation, monitoring and optimization

04
WARRANTY INNOVATION

Creative disruption is changing the way the warranty industry can operate.  They're unlimited opportunities for those that are ready to explore how the warranty business should be doing things differently given game-changing forces such as big data, telematics, platforms, crowdsourcing, and gig-services.   

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  • Activate digital innovation

  • New business and operational model development

  • Prototype new products and services

  • Execute lean experimentation

  • Develop metrics to support go-no go decisions

  • Transition disruptive offerings from entrepreneurial to operational management

SOLUTIONS

KNOW MORE.
DO MORE.

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