We encourage you to read these influential works that inspires our vision for nVeris.
They will prove invaluable helping you facilitate more effective and lasting change in service to others.
Key Concept: Theory of Constraints (TOC) emphasizes identifying and addressing the top bottleneck in a system.
Goldratt famously stated, “The system’s output is determined by the constraint, and improving anything other than the constraint does not significantly increase throughput.” nVeris provides insights identifying the top bottleneck in each Adapt Cycle with Pareto analysis for data-supported improvement decisions.
Key Concept: Leadership engagement and continuous improvement are critical for organizational success.
Deming emphasized, “The transformation is everyone’s job, but it begins with leadership.” nVeris equips leaders to inspire change and have a profound effect on engagement by supporting at least one team agreed improvement per cycle and taking decisive action when they become blocked. This incremental data driven approach will ignite change in even the most siloed cultures.
Key Concept: In Lean Thinking by James P. Womack and Daniel T. Jones, they emphasize the significant gap between the potential and actual performance of operations in most organizations. They famously note that up to 95% of all effort and time in business operations is waste, meaning only 5% of activities add value from the customer's perspective.
Womack and Jones stated, “Mapping the value stream exposes waste and provides a blueprint for redesigning the flow of value.” nVeris aligns with this principle by using AI to map value streams, identify inefficiencies, and simulate future state scenarios at up to 10x effort reduction.
Key Concept: Value Stream Mapping emphasizes visualizing work, identifying waste, and aligning leadership for organizational transformation.
Martin and Osterling noted, “Value stream mapping illuminates inefficiencies, fosters alignment, and provides a clear path to improvement.” nVeris supports these principles by using AI to rapidly create value stream maps, highlight bottlenecks, and simulate improvement scenarios, enabling teams to align on priorities and deliver measurable results in a fraction of the time and effort.
Key Concept: SAFe Distilled provides a practical guide to implementing the Scaled Agile Framework (SAFe) to align strategy with execution, optimize value streams, and achieve enterprise agility.
Knaster and Leffingwell emphasized, “SAFe connects strategy to execution through value streams, enabling enterprises to deliver continuous value at scale.” nVeris founders were inspired by SAFe to radically simplify value stream and agile release train (ART) identification, to make it easier for enterprises to integrate customer journeys and value streams in SAFe portfolio, solution and ART cadences.
Key Concept: Flow Engineering focuses on optimizing flow across value streams to improve delivery and responsiveness.
Pereira and Davis stated, “Aligning teams around flow creates faster value delivery and reduces friction.” nVeris accelerates this alignment by defining future state outcomes for alignment in a low stakes exercise to “start with the end in mind”, for clarity before mapping and optimizing value streams.
Key Concept: “The benefits of adopting agile ways of working are well-understood in the digital world. But those in cyber-physical systems (combining software, hardware, and firmware) think it is risky. But with today's speed of change, maybe the risk is in not changing.”
nVeris supports integrated levels of planning horizons and feedback loops using nVeris Adapt Cycles with AI insights, enable data-supported decisions grounded in lean manufacturing and DevOps principles at scale.
Key Concept: Wiring the Winning Organization focuses on enabling learning and collaboration to improve outcomes across teams and systems.
Kim and Spear emphasized, “Winning organizations enable fast, iterative learning at scale.” nVeris embodies this by faster collaboration through AI-driven visualization, enabling teams to experiment, adapt, and learn with the added instant availability of AI insights. This enhances collaboration across the layer 3 communications and management level, improving layer 2 process and systems with resulting quality and value improvements for the layer 1 technical product.
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