At the Panoramai AI Summit, Lorille Alger, corporate intelligence consultant and founder of Invent, delivered practical insights on AI adoption challenges and knowledge management transformation. With over 15 years in corporate intelligence and experience building AI-powered risk management platforms, she provided ground-level perspectives on organizational change resistance and employee engagement strategies.

Change Adoption Realism

Lorille identified organizational resistance as the primary AI adoption obstacle, drawing parallels to social media adoption cycles. She emphasized that change can emerge either from employee pressure based on personal usage or through top-down management mandate, but requires careful assessment of organizational readiness.

Employee-Centric Implementation

« You have to imply the employee, the collaborator from the beginning of the process. So they have to be aware, trained and also to feel that they are part of the adoption of this new technology... to comfort them that they won't lose, they won't be replaced. » Lorille advocated for inclusive change management positioning AI as enhancement rather than replacement.

Mission Alignment Framework

Lorille emphasized fundamental questions about AI adoption: does the use of AI embrace the mission, values, and objectives of the company? She positioned this alignment as the basis for any successful knowledge management or technology implementation.

Data-AI Governance Integration

« AI policy is really close to data policy regarding this context of knowledge management because in the knowledge management we manage also the data and AI use the data basically. » Lorille connected AI governance to existing data management frameworks, arguing against reinventing governance wheels.

Corporate Intelligence Enhancement

Through her platform development work, Lorille demonstrated how AI can enhance corporate intelligence by improving search capabilities and providing better strategic insights while maintaining human oversight and interpretation.

Practical Risk Assessment

Lorille advocated for systematic evaluation of organizational AI readiness, including assessment of employee capabilities, alignment with company values, and integration with existing knowledge management systems before implementation.

Key Achievement: Lorille demonstrated how successful AI adoption requires honest assessment of organizational change capacity, positioning corporate intelligence professionals to leverage AI enhancement while maintaining strategic human oversight and inclusive change management practices.