
Ecosystem Alpha where Strategy meets GTM Execution
Demystifying the Last Mile of AI Data Adoption, with Rishi Bhatnagar, Founder at Quaeris.ai
Every enterprise has spent heavily on AI and analytics, yet most executives still pick up the phone to get a straight answer. Rishi Bhatnagar built and sold a sixteen year systems integration business before founding Quaeris to close that gap, and he argues the friction between digital data and human decision makers is costing companies billions every day. This conversation unpacks why adoption stalls long after the technology already works. What you'll learn: - How to spot when a partner conflict is actually protecting your customer relationship instead of harming it. - Why only 5 percent of enterprise AI initiatives reach full adoption despite 85 percent getting started, and what closes that gap. - How token based agent architectures quietly inflate AI costs, and what a learn once agent design does to your bill instead. - Why meeting users inside tools they already use, such as Microsoft Teams or WhatsApp, drives higher AI adoption than building a new destination. - What separates an empathetic partner from a partner who protects only their own margin. Bhatnagar is the founder of Quaeris, an AI driven data search and BI platform that helps executive teams get direct answers from their business data. He spent sixteen years as CEO of Syntelli Solutions, an analytics systems integrator he grew to seventy five people through early partnerships with Tableau and Spotfire, before founding Quaeris in 2020. His perspective carries weight because he has sat on both sides of the partnership table. He has sold analytics services as an integrator, built products designed for integrators to resell, and now designs agent architecture around token cost and enterprise governance rather than the growth metrics that benefit the AI labs the most. Chapters : Introduction and guest background From Ernst and Young to Tableau: the first partner bet Horse and jockey: managing channel conflict without losing the customer The last mile problem: why speed of data is not speed of decisions Building Quaeris: headless BI and meeting users where they already are Why most enterprise AI pilots never reach full adoption Token costs and the case for agents that learn once Rapid fire and closing thoughts Legal Disclaimer for Ecosystem Alpha: The Podcast 1. No Professional Advice: The content of this podcast is for informational and educational purposes only. It is not intended to be a substitute for professional advice (legal, financial, tax, or otherwise). 2. Views Expressed: The opinions expressed by guests on this program are their own. Ecosystem Alpha does not verify the accuracy of the information provided by guests, and their appearance does not constitute an endorsement of the guest or the entity they represent. 3. Professional Titles: Guest titles and business affiliations are provided as of the date of recording. Ecosystem Alpha makes no representation regarding the current status of a guest’s employment or their authority to bind any mentioned third-party entities. 4. Limitation of Liability: By listening to this podcast, you agree that Ecosystem Alpha and its hosts are not responsible for any decisions made or actions taken based on the information provided in this program.






