Ecosystem Alpha where Strategy meets GTM Execution

Most AI projects start with the tool. That is exactly why so many of them return almost nothing. Riaz Kanani flips the question, and the answer changes what your team does on Monday morning.What you will learnWhy starting with the growth blocker beats starting with the tool, and what that does to your returnHow to escape the sameness trap so your content stops sounding like everyone else'sWhere corporate IP leaks when teams work through base models, and what MCP servers changeWhat it actually took to find a 42 percent saving on one operational processWhy an IKEA chatbot ended in a new billion dollar revenue line instead of 6,500 job cutsAbout the guestRiaz Kanani is Consultant and Founder at Connected Paths, an AI implementation consultancy based in London. He spent nearly nine years as CEO and Founder of Radiate B2B, the intent data and advertising platform, after building behavioural email and marketing automation at Silverpop and Lyris.His view carries weight because he ships the thing most people only discuss. He builds MCP servers, runs client transformation work, and reports the numbers on both sides of the ledger. That mix of operator scar tissue and current build experience is rare among people talking about agentic AI.Chapters00:00 Introduction and guest background08:16 Building two sided ecosystems from video advertising to ABM10:05 Escaping the AI sameness trap19:13 How AI thinks, and why you have to challenge it23:27 Protecting corporate IP and expert knowledge29:00 MCP connectors and the move to an AI operating layer46:10 The revenue receipt, 42 percent saved and the IKEA turnaround56:34 Rapid fire and pay it forwardLegal Disclaimer for Ecosystem Alpha: The Podcast1. 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.

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 backgroundFrom Ernst and Young to Tableau: the first partner betHorse and jockey: managing channel conflict without losing the customerThe last mile problem: why speed of data is not speed of decisionsBuilding Quaeris: headless BI and meeting users where they already areWhy most enterprise AI pilots never reach full adoptionToken costs and the case for agents that learn onceRapid fire and closing thoughtsLegal Disclaimer for Ecosystem Alpha: The Podcast1. 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.

Blue Triangle spent three months testing whether automated outbound still works. Thousands of calls produced one answer and zero sales conversations. Lance Buchholz explains what he does instead, and how he funds a long term partner strategy while carrying a quarterly number.What you will learn▹ Why thousands of automated calls produced one answered phone and no pipeline▹ How to run near term, mid term and long term revenue at the same time▹ Why partner sourced revenue and partner counts mislead a board▹ The single ecosystem number that predicts churn before the renewal▹ What to do when a buyer takes your demo and builds the product with AILance Buchholz is Chief Revenue Officer at Blue Triangle, where he owns the full number and answers to the board for it. He has spent roughly 25 years in partnerships, from a billion dollar business with thousands of signed partners to small companies with no partner motion at all, and he has been through a couple of exits on the partner side.Buchholz moved from partner leadership into the CRO seat, so he now approves the discounts he once had to argue for. That is what makes his view useful. When he defends partner investment, he defends it against his own quota and his own board conversations, not from the sidelines.ChaptersIntroduction and guest backgroundBear's Paw and the reason it existsThe automated outbound experiment and what it returnedNear term, mid term and long term revenue in one planWhat AI changed about buyer conversationsThe warning signs that a customer is about to leaveThe revenue receipt: an OEM partnership that opened a new marketRapid fire: overrated metrics, attach rate and book picksLegal Disclaimer for Ecosystem Alpha: The Podcast1. 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.

Most partnership leaders spend their careers optimising for incremental referral volume. Gautham Pandiyan has spent his building the kind of ecosystem bets that show up in a balance sheet. This conversation is about the ones that transform a business and how to know which partnerships deserve that level of conviction.What you will learn:▹ Why partners amplify product-market fit rather than find it, and what that means for how you pick your strategic bets.▹ How to build a fail-fast framework that lets you evaluate a major partnership in five months rather than eighteen, and pivot without destroying the relationship.▹ What a clear value exchange looks like in practice, and why expectation misalignment kills more strategic partnerships than bad fit does.▹ How Gautham's team scaled to $150 million of revenue through AWS Marketplace at Qualtrics, and the cross-functional effort required to get there.▹ How to build the perception umbrella inside your business so executives and stakeholders see partnership momentum, not just end-of-year results.Gautham Pandiyan is Global Head of Cloud, SI & Affiliate Partnerships at Pendo, where he leads the company's Hyperscaler, GSI, and consulting partner motions. He previously spent four years at Qualtrics scaling the AWS partnership to nine-figure Marketplace revenue, and has held senior alliance roles across multiple high-growth SaaS businesses.Chapter overview:Introduction and guest backgroundHow to choose the right strategic partners: product-market fit and natural pullThe difference between push and pull in channel-first versus overlay modelsEvaluating failures and knowing when to pivotHyperscalers in practice: the Qualtrics and AWS storyExpectation setting, the perception umbrella, and managing internal stakeholdersRapid-fire round and recommended voicesLegal Disclaimer for Ecosystem Alpha: The Podcast1. 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.

Growth at all costs is over. Boards no longer ask how many people you hired. They ask how efficiently you can grow, and that question is reshaping how revenue leaders scale across Europe, the Middle East, and Africa.What you will learn:▹ Why treating EMEA as one market inflates customer acquisition cost, and what to do instead▹ How to trade a share of AE headcount for partner headcount without losing quota on the street▹ The give to get motion that keeps local partners active long after referral business dries up▹ How to match global SIs, regional integrators, and boutique consultancies to the right customer segment▹ A real example where going partner first lifted conversion by up to 50 percent in six monthsGuest bio:David King Harris is VP Sales EMEA at Optro. He has led European, EMEA, and global teams through both the growth at all costs era and the efficiency mandate that followed, with earlier roles across martech leaders and IBM. He speaks in commercial terms because he carries the revenue number himself.Chapters:Introduction and guest backgroundWhy EMEA is a collection of markets, not oneLocal partners and the last mile of trustMatching partner types to your ideal customerWhere partnerships should sit in the organizationThe efficiency pivot after COVIDThe revenue receipt: partner first resultsRapid fire and closeRebuild your EMEA go to market around efficiency. What you will learn:▹ Why the partner team's job is not to bring a list of integration requests to product, and what to do instead to validate real end-user value before anyone writes a line of code▹ How to choose between a large, hard-to-work-with partner and a smaller, easier partner, and why internal relationships and prioritisation willingness often matter more than market reach▹ What it means in practice when a product manager asks your partner team a hard question, and why the correct answer is sometimes no▹ How to build the working relationship between engineering, product, and the partner's technical team so integrations move fast without becoming liabilities▹ The most common mistake product teams make when building toward a partnership, and how to avoid building something customers will never useAbout the guest:Agata Bugaj is Chief Product Officer at ButterflyMX, a property access technology platform serving multifamily, commercial, and student housing. She brings over fifteen years of experience leading product, UX, and engineering teams across B2B SaaS and enterprise eCommerce. Prior to ButterflyMX, she served as SVP of Product at FullStory, where she scaled the product function from Director through to SVP level.Legal Disclaimer for Ecosystem Alpha: The Podcast1. 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.