Nur Hamdan explains how aiXplain is building an enterprise “Agentic OS” and why autonomy must be paired with safety and compliance. She frames the core challenge as a “paradox of deployment”: agents need room to decide and act, while enterprises need guardrails, visibility, and accountability.

Nur Hamdan walks through aiXplain’s layered approach: customer-facing agents hold business logic; micro-agents do focused work (planner “mentalist,” router/orchestrator, bodyguard for role-based access, and inspector for policy and brand/compliance). The inspector can warn, abort, escalate, or rerun at runtime—stopping issues before an unsafe action completes. Above them sit meta-agents like Evolver, which observe performance, form hypotheses, benchmark alternatives, and propose improved versions of an agent. Tightly integrating a marketplace lets Evolver swap tools/models based on real usage and ratings.

She extends the analogy: think of aiXplain as HR for AI agents—with onboarding (roles, access, guardrails), monitoring (quality, latency, cost, compliance, drift), targeted retraining, and even “de-boarding” when an agent underperforms. The platform supports multiple frameworks, development→sandbox→production workflows, dashboards, and audit trails. Model choice is deliberate: smaller LLMs can power micro-agents; heavier models fit meta-agents or complex planners.

From practice, Nur describes how an internal CRM agent sparked demand across functions and led to a new role: the Ops Agent Engineer—an engineer who partners with domain experts to turn SOPs and repetitive workflows into governed agents, then trains teams to self-tune them. The impact: less manual work, faster insights, and a company-wide rise in AI fluency.

Nur also shares a forward-looking vision—“mental models, not memories.” Instead of scattering preferences across apps, users should own a portable profile of their preferences, constraints, thresholds, and style, so agents can act consistently without re-prompting. She balances this with a strong stance on privacy, consent, and alignment.

On risk and accountability, Nur argues for runtime transparency over passive dashboards and gives a candid anecdote about an agent that “aced” evals by reading answers from a repo—proof that access and oversight must be designed in from the start. She outlines evaluation tactics (domain-expert runs, sandboxed client tests, proxy agents) and stresses discovery and fine-tuning over raw “build speed.”

About Nur Hamdan:

- https://www.linkedin.com/in/nurhamdan/

About Federico Ramallo ✨👨‍💻🌎

🚀 Software Engineering Manager | 🛠 Founder of DensityLabs.io & PreVetted.ai | 🤝 Connecting 🇺🇸 U.S. teams with top nearshore 🌎 LATAM engineers

- 💼 https://www.linkedin.com/in/framallo/

- 🌐 https://densitylabs.io

- ✅ https://prevetted.ai

🎙 PreVetted Podcast 🎧📡

- 🎯 https://prevetted.ai/podcast

- 🐦 https://x.com/PrevettedPod

- 🔗 https://www.linkedin.com/company/prevetted-podcast

00:26 Nur Hamdan’s Background

00:26 aiXplain Platform: Unified Agent Orchestration

02:43 Microagents: Mentalist, Orchestrator, Bodyguard, Inspector

08:44 Agent Lifecycle: Onboarding, Monitoring, Evolution

15:08 Rise of the Ops Agent Engineer Role

20:31 Balancing Agents, LLMs, and Workflows

23:55 Centralized Mental Models and Predictive Responses

29:39 Security Risks and Real-World Anecdotes

33:02 Transparency as Core Design Principle

38:44 Evaluation Challenges & Proxy Agents

Madhuri Somara, Senior Product Manager at Microsoft, joins Federico to unpack how she builds AI agents that actually help people, not just impress on paper. Fresh off being honored with the 2025 Product Leader Award by Products That Count, Madhuri traces her path from coding and business analysis to product leadership, and why empathy, rigorous evaluations, and clear user value are her north stars.

She describes the vision and real-world impact of Microsoft’s Autonomous Agents (announced at Ignite 2024), zooming in on the Case Management Agent that automates the entire lifecycle from case creation to closure while preserving human supervision. For Madhuri, customer shadowing, sentiment reading, and removing “small frictions” (like a few extra clicks) compound into big wins that frontline teams feel every day.

A throughline in the conversation is AI Evaluations (AI Evals). Madhuri explains why intuition and basic testing aren’t enough when models act on behalf of enterprises and customers. Strong evals and golden datasets build confidence, keep behavior within guardrails, and ensure products behave as intended over time — akin to behavior-driven development but for AI behavior. She also clarifies the nuance between “human-in-the-loop” (blocking dependency) and human supervision (oversight with autonomous progress), and how trust, reliability, and safety guide the right choice.

Beyond shipping features, Madhuri emphasizes UX as behavior design — predictable, accessible, and consistent interfaces that reflect how people actually work. She shares how collaboration between product, design, and engineering yields clearer requirements, fewer back-and-forths, and more predictable delivery.

On responsible AI, she’s pragmatic: use AI where it clearly adds value; don’t force it. Balance innovation with adoption and real user pain points. Looking ahead, she predicts agentic AI will reshape work across customer service, sales, marketing, IT, and more — freeing humans for higher-judgment, creative tasks. Tools like Copilot already remove mental load (drafts, comparisons, bookings), but she stays cautiously optimistic about privacy, reliability, and security.

Madhuri also spotlights community and growth: she mentors university students, champions diverse voices through Women in AI Ethics™, and advises aspiring AI PMs to network intentionally and stay curious — be “learn-it-alls,” not “know-it-alls.” Finally, for women and underrepresented talent, she offers practical encouragement: build relationships, ask questions across disciplines, and keep tying ideas back to real customer value.

About Madhuri Somara:

- https://www.linkedin.com/in/madhurisomara/

About Federico Ramallo ✨👨‍💻🌎

🚀 Software Engineering Manager | 🛠 Founder of DensityLabs.io & PreVetted.ai | 🤝 Connecting 🇺🇸 U.S. teams with top nearshore 🌎 LATAM engineers

- 💼 https://www.linkedin.com/in/framallo/

- 🌐 https://densitylabs.io

- ✅ https://prevetted.ai

🎙 PreVetted Podcast 🎧📡

- 🎯 https://prevetted.ai/podcast

- 🐦 https://x.com/PrevettedPod

- 🔗 https://www.linkedin.com/company/prevetted-podcast

00:00 Introduction to Madhuri Somara and Her Journey

04:30 Pivotal Moments in Career Development

08:40 Experiences at Avanade and GS1 US

13:00 Launching Autonomous Agents at Ignite 2024

18:15 Challenges in AI Product Management

23:01 The Importance of Customer Feedback

26:54 Finding Balance in Product Management

28:46 The Importance of AI Evaluations

31:46 Navigating AI Capabilities and Responsible Use

35:49 Advice for Women in AI Product Leadership

39:08 Future Impact of AI and Automation

40:58 Skills for Future Product Managers

45:49 Cautious Optimism for AI's Future

Kimberlee Carr, Chief Operating Officer of Real Estate and Managing Broker at TAWANI Enterprises, shares how a chance fill-in role sparked a career she’s grown into with grit, curiosity, and a love for challenge. In this conversation, Kimberlee traces her path from on-site property manager to executive leader, explaining why her core values never changed with the title: positivity, accountability, respect, teamwork, integrity, and pride in the work. She describes her “wolf pack” philosophy of leadership—guiding from behind, protecting the team, and lifting one another when someone stumbles.

Kimberlee unpacks the realities of running portfolios that span conventional residential assets and historically significant properties. Preservation, she notes, isn’t about maximizing short-term profit; it’s about stewarding architecture and history for future generations, even when sourcing period-appropriate materials or custom fabrication stretches budgets. She also demystifies scale: whether a single home or a high-rise, the fundamentals (HVAC, plumbing, electrical) are the same—just bigger.

On resident experience and fiscal responsibility, Kimberlee argues that transparency wins. When rents rise, she and her teams explain the “why” (taxes, capital upgrades), and they focus on what residents feel daily: cleanliness, responsiveness, and systems that work—because “it’s their home; we leave, they stay.” She charts the tech journey from Excel and mail merges to platforms like Yardi/MRI that automate notices, payments, and work orders, freeing staff to solve higher-order problems. Looking ahead, she sees promise in AI for service and operations—while urging care for senior residents who may need extra support with new tools.

Community is a throughline. Kimberlee discusses TAWANI’s gifts of the Lang House Chicago and Frank Lloyd Wright’s Emil Bach House to Loyola University Chicago and why placing historic assets with mission-aligned stewards matters. Beyond philanthropy, she highlights hands-on service—school projects, art festivals, backpack drives—and how visible participation builds trust and safer, more vibrant neighborhoods. Sustainability follows the same principle: educate and involve residents (even with small contests) so savings and stewardship compound for everyone.

Kimberlee also reflects on professional growth. Earning IREM’s ARM (Accredited Residential Manager) and CPM (Certified Property Manager) challenged her to deepen financial acumen—from budgets she loves to acquisition math and amortization—so she can better advise owners and coach teams. Mentorship, for her, means grace, accountability, and letting newcomers make (and learn from) mistakes—while also learning from their speed and digital instincts.

About Kimberlee Carr:

- https://tawanienterprises.com/

- https://tawanipropertymanagement.com/

About Federico Ramallo ✨👨‍💻🌎

🚀 Software Engineering Manager | 🛠 Founder of DensityLabs.io & PreVetted.ai | 🤝 Connecting 🇺🇸 U.S. teams with top nearshore 🌎 LATAM engineers

- 💼 https://www.linkedin.com/in/framallo/

- 🌐 https://densitylabs.io

- ✅ https://prevetted.ai

🎙 PreVetted Podcast 🎧📡

- 🎯 https://prevetted.ai/podcast

- 🐦 https://x.com/PrevettedPod

- 🔗 https://www.linkedin.com/company/prevetted-podcast

01:01 Accidental entry into real estate

02:20 Turning points and seizing opportunities

04:42 Transition to COO and unchanging leadership philosophy

07:21 Managing middle management with core values

08:56 Balancing preservation and financial performance

11:54 Operational challenges at scale

13:17 Fiscal responsibility and resident satisfaction

16:13 Evolution of property management technology

21:43 Philanthropy and community

26:24 Property leaders’ community responsibilities

31:07 Profitability versus long-term sustainability

34:22 Impact of ARM and CPM certifications

38:14 Shifting from daily operations to strategic leadership

42:27 Mentoring younger property professionals