Meet the Founder
For over a decade, I've studied how humans interact with emerging technology - particularly in high-stakes environments where the cost of error is measured in millions, and adoption resistance can kill even the most sophisticated systems. My research focuses on decision-making frameworks that bridge the gap between AI capability and real-world usage.
I founded WorkWise Solutions to solve the problem that keeps me up at night: brilliant AI systems that never get used. My PhD research into how humans interact with emerging technology proves invaluable when handling senior partners and investment committees - understanding the human dynamics of adoption is as critical as the technical architecture.
We don't just build AI - we ensure it becomes an invisible, indispensable part of how your team works.
Education & Credentials
Publications
Research on responsible AI adoption, governance frameworks, and value measurement in high-stakes professional environments.
Measuring AI ROI in Private Equity: A Framework for Decision Velocity vs. Decision Quality
Introduces the Decision Velocity–Quality Framework (DVQF), a measurement model for evaluating AI’s impact across four dimensions: throughput efficiency, analytical depth, outcome attribution, and risk-adjusted return contribution in private equity.
AI Governance Across the Deal Lifecycle: From Sourcing Through Portfolio Monitoring
Extends the WorkWise Verification Framework across the complete deal lifecycle, mapping AI use cases, error types, and governance requirements for five stages from sourcing through exit preparation.
The Skill Erosion Paradox: Preserving Analytical Capability in AI-Augmented Teams
Addresses the deeper, slower-moving threat beneath AI adoption: the gradual decay of the analytical skills that make expert judgment possible. Presents a framework for preserving expertise through deliberate practice structures, workflow design, and organisational talent development strategies calibrated for AI-augmented environments.
Combating Automation Complacency in Financial Due Diligence — A Deep Dive into Verification Atrophy: Cognitive Interventions and Interface Design for Epistemic Humility
A comprehensive framework for combating automation complacency through cognitive interventions, interface design principles, organisational protocols, and measurement frameworks — ensuring AI-augmented due diligence remains sustainable and resistant to verification atrophy.
Closing the Accountability Gap: A Governance Framework for AI in Private Equity, Venture Capital, and Strategic Consulting
A comprehensive governance framework for responsible AI deployment in high-stakes investment and advisory contexts, addressing accountability chains, tiered oversight mechanisms, and audit trails that satisfy regulatory and fiduciary obligations.
Areas of Expertise
Speaking Engagements
Dr. Coney is available for speaking engagements on topics including AI adoption in financial services, behavioral science in technology implementation, and human-in-the-loop AI systems for high-stakes decision-making.
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