Our mission is to empower clients to transform their enterprise asset management operations by leveraging the immense potential of data and artificial intelligence. We address a critical market need: the reinvention of existing enterprise asset management business processes in sectors where asset performance is paramount to safety, efficiency, and profitability.
We help clients define a clear vision and actionable roadmap for AI adoption. This includes identifying high-impact use cases (e.g., predictive maintenance, asset failure prediction), assessing organizational readiness, and creating a business case for investment. We then guide the integration of AI solutions into existing technology landscapes.
specialize in the implementation, upgrade, and optimization of leading EAM systems (e.g., IBM Maximo, SAP EAM). Our "reinvention" approach focuses on re-engineering business processes to fully leverage the capabilities of modern EAM platforms, moving beyond simple data entry to strategic asset performance management.
We address the foundational challenge of data quality. This service involves assessing a client's data maturity, creating robust data governance frameworks, and modernizing data infrastructure (e.g., data lakes, cloud warehousing) to ensure that AI models are built on the foundation of accurate, accessible, and reliable data.
Our team designs and builds bespoke AI and machine learning models. This includes for example developing algorithms for anomaly detection, asset health scoring, and optimization of maintenance schedules and capital planning.
Technology implementation is only successful if people adopt it. We provide structured change management services, including stakeholder communication plans, user training programs, and process redesign workshops to ensure smooth adoption and lasting transformation.
We offer post-implementation support contracts to ensure our clients' solutions continue to operate optimally and evolve with their business needs. This includes model monitoring, retraining, and system health checks.
Our unique value proposition lies in our niche focus, agility, and commitment to delivering practical, high-ROI solutions that bridge the gap between complex AI capabilities and real-world business operations.
Dr. Kennedy Oyoo has over fifteen years of progressive experience in Information Technology, encompassing enterprise architecture, software engineering, enterprise systems, project management, data governance, cybersecurity, artificial intelligence, and robotic process automation. Throughout his career, primarily within technology consulting, Dr. Oyoo has held both technical and leadership roles. This experience has allowed him to collaborate with diverse clients across various industries, assisting them in defining digital transformation strategies using emerging technologies and methodologies. His work involves the definition, design, and delivery of solutions that align with business goals and objectives through the combination of application, data, business, and technical design patterns.
Additionally, Dr. Oyoo is an active information technology researcher and adjunct faculty member. His research focuses on integrating strategic thinking, technological solutions, artificial intelligence, data science methodologies, and creative design to effectively solve complex business challenges.
