How We Agent

Lyzr AI
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"How We Agent" is Lyzr AI's podcast and video series taking you inside real enterprise AI deployments with sovereign AI, agentic automation, and the production-ready agents actually running in the world's biggest companies. Each episode sits down with industry leaders building (and governing) AI agents at scale

  1. Oct 23

    6-Week Focus Groups in 48 Hours: How Synthetic Audiences Are Changing Marketing

    n this episode of How We Agent, Ani sits down with Sandy, founder and owner of DXagency and DXculture. Sandy has spent more than three decades in marketing and advertising, including roles at Lifetime, Fuse TV, Nickelodeon and Sci Fi Channel, and has run DX since 2009. Sandy explains how her team built a synthetic audience platform with Lyzr. It’s a closed-loop system of AI agents that act as real-time focus groups, combining authentic data with social sentiment to predict how real consumers will react. The conversation covers multicultural marketing, why general-purpose LLMs fall short for audience research, synthetic focus groups, product and pricing testing, getting access to first-party data, and why curiosity matters more than ever for founders. Whether you’re a marketer, an agency leader or a founder building with AI agents, this episode shows how synthetic audiences are changing the way brands understand their customers.

  2. Oct 15

    The $15M-a-Month AI Bill: Why “Token Maxxing” Is Draining Your Budget

    In this episode of How We Agent, Ani sits down with Sri Kandikonda, Group Product Manager at FedEx, who leads the evolution of FedEx’s API ecosystem across 200+ countries. Sri has 15+ years in e-commerce, logistics and fintech, teaches a Maven course on taking AI agents to production, and wrote a book on the API economy. Sri shows how his team of product managers works alongside AI agents every day. He shares an internal agent that resolves 80% of product questions and explains why “anyone can build an agent, but few can build a reliable one.” The conversation covers agent guardrails, evals, governance, LLM selection, token budgets, building internal before external, and why AI agents need real-time data to make decisions.

  3. Oct 11

    What Happens to Agile When AI Writes the Code?

    In this episode of How We Agent, Ani sits down with Jason Knight, who leads Agentic Transformation at EWN, a Texas-based operator qualification platform for the oil and gas industry. Jason moved into the role from inside the delivery organization. He has a background in Scrum coaching, Agile development and Lean Startup, with earlier stints at CommunityCare, BOK Financial and the Agile Leadership Institute. Jason shares how EWN went from running one or two experimental backlog items per sprint to rolling out agents across the company. He also explains why rising AI spend is a sign of progress and why human judgment matters more now than it did a year ago. The conversation covers agent orchestration, the BMAD Method, agent scorecards, governance frameworks, the future of Scrum, and what AI means for people who have spent years honing their craft. Whether you’re leading AI adoption, running agile teams or figuring out where you fit in an AI-first workplace, this episode is a practical look at agentic transformation as it’s happening.

  4. Oct 11

    The AI Velocity Gap Is Killing Your Productivity. Here’s How to Close It

    In this episode of How We Agent, Ani sits down with Joel Martin, Chief Research Officer at HFS Research. Joel has spent nearly three decades in tech, with stints at IDC, Microsoft and TechInsights, and has led teams across North America, India, the UK and the Middle East. Joel explains how HFS went from stacks of PDFs to a live, queryable knowledge engine that customers can plug straight into their own systems. He also shares why subscription-based research is dead and what founders and enterprise leaders should focus on as AI changes every three months. The conversation covers enterprise AI adoption, the AI velocity gap, services as software, the headless future of work, AI risk and sovereignty, and the 4 Ps framework for getting AI into production. Whether you’re building an AI startup, leading enterprise transformation or managing teams through the AI shift, this episode gives you a research-backed view of where enterprise AI is heading.

  5. Oct 2

    A cardiologist put 16 agents on her cases. Reviews got up to 60% faster.

    Dr. Lucia Jewbali, with 15 years in the ICU, frames her tool the way she frames the stethoscope: an instrument that augments one specific clinical sense and in this case, reasoning at the bedside. LionAIs, built with Lyzr, connects to the hospital EHR and combines symptoms with EKGs and bloodwork the way a clinician actually would. The design choice that matters is the constraint. Narrow the corpus, cite the source, and the tool becomes something a specialist will put next to a patient.

  6. Sep 28

    Anyone can demo an agent. The last 40% is where it breaks.

    Swami Chandrasekaran has worked through four generations of AI and leads KPMG's move from experimentation into scaling. To understand agents properly, he built an agent harness from scratch rather than reading about frameworks. His mandate splits three ways: innovate, enable, standardize. Rather than build everything, KPMG assembles an ecosystem, which is why he is unusually direct about what gets a startup through the door: be a journey partner, bring differentiated technology, and have the nerve to let an enterprise actually use the product. The through line is the last 40%. Security, trust, scale and adoption are unglamorous, and they are what decides whether an agent ever leaves the demo environment.

    Anyone can demo an agent. The last 40% is where it breaks.

  7. Sep 28

    How a 280,000-person company put 200+ AI agents into production

    Patrick Corcoran leads marketing and external relations at Hitachi Digital Services, and his starting point is that AI is not new here. Machine learning and computer vision have been running inside Hitachi's factories and rail networks for around 25 years. What that bought them is a shorter run-up to the agent wave. HARC Agents is the enterprise framework: pre-built agents, unified observability and centralized control, with 200+ agents already in production and 618 sister companies in a position to test them. The part worth borrowing is where he stops. In the Lisbon rail command center, agents assist and a person still makes the call. Governance, security and observability are treated as the product, not the paperwork.

  8. Sep 28

    Your lab results land before the call. Should AI explain them first?

    Jean Sachs runs an organisation that reaches two million people a year with breast cancer information, supporting people trying to understand a complex diagnosis. Closing that information gap is exactly what AI should be good at and exactly where a confidently wrong answer does the most damage. This episode covers how she moves forward regardless: what they started with, what they won't touch yet, and why the first build was internal. Worth watching if you've had to introduce AI into a room where the sceptics have a point.

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About

"How We Agent" is Lyzr AI's podcast and video series taking you inside real enterprise AI deployments with sovereign AI, agentic automation, and the production-ready agents actually running in the world's biggest companies. Each episode sits down with industry leaders building (and governing) AI agents at scale

Information

  • Creator
    Lyzr AI
  • Years Active
    2026
  • Episodes
    13
  • Rating
    Clean
  • Copyright
    © 2026 Lyzr AI
  • Show Website
    How We Agent