A clearer conversation
about AI.
Keynotes, panels, briefings, and interviews for business, professional, and institutional audiences.

Technology, in context.
Connect AI to the questions an audience actually faces.
Kashyap’s work spans product development, management consulting, industry analysis, enterprise advisory, startups, writing and professional education.
Discuss a speaking invitation ↗Topics that matter to your audience.
Enterprise AI
Strategy, technology choices, and the work of moving from interest to adoption.
Explore enterprise ai →Governance & responsibility
Risk, oversight, and the responsibilities that accompany AI deployment.
Explore governance & responsibility →AI & investments
Technology claims, differentiation, and what an investor needs to understand.
Explore ai & investments →AI & legal practice
AI concepts, professional responsibilities, and the changing legal landscape.
Explore ai & legal practice →Work & skills
How AI changes tasks and the capabilities people need to develop.
Explore work & skills →Past talks and public conversations.
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Questions for an AI conversation.
What’s next on AI’s menu?
Beyond generating content, AI systems increasingly carry out tasks and coordinate workflows. The leadership question is which actions to delegate and under what conditions.
The distinction matters for audiences assessing what AI may change in their own organizations. Automating a fixed sequence and allowing a system to choose its next action create different operating demands. Kashyap’s comparison of AI agents and RPA offers a practical way to discuss that shift without assuming that every task needs autonomy. Read more about AI agents and established automation.
Can a keynote address AI without relying on hype?
Yes. Kashyap’s public conversations examine practical adoption, investment returns, governance and professional responsibilities, giving audiences a basis for evaluating claims.
A productive conversation should leave an audience better able to distinguish capability from suitability. Business applications vary in their information needs, the quality required and the consequences of errors. Kashyap’s discussion of business uses for ChatGPT provides concrete contexts for considering these choices. Read more about business uses for generative AI.
How should leaders discuss AI and jobs with employees?
Acknowledge both opportunity and disruption. Discuss how tasks and skills may change, without assuming that gains and losses will arrive together or affect every group equally.
Make space for practical questions about learning and progression, including what the organization will do to help people adapt. Reassurance without a plan offers little clarity. Kashyap’s reskilling article discusses skills assessment, relevant learning and management communication as parts of a considered response to changing work. Read more about preparing employees for AI.
Why is AI relevant to a legal audience?
Lawyers need to understand the technology to apply professional judgment and help put responsible AI into practice. Kashyap’s legal education work addresses that skills gap.
The discussion should include how legal information is retrieved and checked, not simply how quickly a draft is produced. Reliable references, the relevant jurisdiction and current material affect usefulness. Kashyap’s article on retrieval-based systems examines these requirements and the errors that can remain despite access to source documents. Read more about retrieval and legal information.
How do we propose a speaking engagement?
Contact Kashyap on LinkedIn with the audience, topic, format and proposed timing. Include the central question you want the conversation to help your audience understand.
What is your next AI decision?
Talk to us about your business priorities, an investment, or your team’s learning needs.