Harvard Business School Online
Certificate of Completion in Disruptive Strategy
Disruptive innovation, strategy development, and Jobs to Be Done.
About Violet
Researching what happens between information and action.
Violet Innovations is an applied research and consulting company studying how prior experience, role, trust, context, and message design shape what people notice and how they interpret information.
Violet turns that research into practical tools that help organizations diagnose consequential uncertainty, test a proposed change with intended receivers, and compare the original prediction with what the evidence later shows.
How Violet is different
The prediction remains visible after the recommendation.
Many audits stop at advice. Research platforms help teams design, run, and analyze studies. Violet connects a diagnosed information-to-action problem to the consequential uncertainty, the smallest credible test, the resulting decision, and—where available—the field outcome.
Recruitment, collection, or live experimentation may use appropriate external infrastructure. Violet’s distinctive responsibility is the reasoning that connects the problem, prediction, evidence, and decision.
Observation→Violet hypothesis→Pre-evidence test→Observed evidence→Decision→Update Violet’s reasoning
Why Violet exists
The message is only part of the communication.
Organizations often assume that if information is accurate and clearly written, it will be understood as intended. But receivers bring their own goals, expertise, prior experiences, trust, values, and constraints.
Those conditions influence what enters attention, which cues appear important, and what interpretation becomes likely.
Violet was created to study this gap and make it practically useful.
Message + Receiver state + Context
Attention
Interpretation
Possible transition
Founder
Founder and Research Lead
Osagie Osemwegie
Osagie Osemwegie, known as James, founded Violet Innovations to explore the intersection of artificial intelligence, human behaviour, business strategy, and communication.
His professional work spans engineering and AI leadership across financial technology, digital health, and enterprise software. His research interests centre on how computational systems can help us understand human attention, interpretation, decision-making, and social outcomes.
During his Master of Science in Computer Science at the University of Saskatchewan, his research explored computational and AI-based approaches to human and societal challenges, including mental health, food security, and behavioural data.
He also holds an MBA focused on business analytics and a bachelor's degree in computer engineering. He completed the Certificate of Completion in Disruptive Strategy through Harvard Business School Online, where he studied disruptive innovation and the Jobs to Be Done framework.
Osagie continues to contribute to collaborative research involving University of Saskatchewan researchers while developing Violet's receiver-conditioned attention framework.
Research and collaboration: Direct contact osagie@violetinnovations.ca
Education and research
Education and research
Master of Business Administration
Focus in Business Analytics
Business strategy, analytics, organizational decision-making, and evidence-based management.
University of Saskatchewan
Master of Science in Computer Science
Applied AI, behavioural data, mental health, food security, and technology's interaction with human society.
Bachelor's degree in Computer Engineering
Foundations in computing systems, software, electronics, and engineering.
Why this combination matters
Why this combination matters
Violet sits between disciplines that are often treated separately: technical systems, business decisions, and human interpretation.
Engineering helps establish what a system or message actually contains. Business strategy clarifies the job a receiver is trying to accomplish and what is at stake. Behavioural and AI research help examine why different receivers may attend to different signals.
Violet brings those perspectives together in a practical framework for diagnosing communication risk.
Technology
Understanding systems, evidence, constraints, and implementation.
Strategy
Understanding receiver goals, organizational incentives, and the job to be done.
Human interpretation
Understanding attention, prior experience, trust, and possible responses.
Research posture
An active research programme
Violet's receiver-conditioned attention framework is under active development. Its predictions are probabilistic, receiver states must be inferred carefully, and the framework requires continued empirical testing.
The aim is not to claim certainty about what a person will think. The aim is to produce explicit, testable hypotheses about what may attract attention, how a message may be interpreted, and where communication could fail.
Next step
Diagnose the uncertainty—or test the proposed change.
Start with a free Attention Audit, or request Validation when you already know what decision needs intended-audience evidence.