Jon Ferrara is the Founder and CEO of Nimble, a CRM company that helps businesses build and manage relationships through modern contact and relationship management tools. A pioneer in the CRM industry, he previously co-founded GoldMine Software, one of the earliest CRM platforms for small and mid-sized businesses. He has helped grow Nimble into a widely used platform with integrations across tools like Microsoft 365 and Google Workspace, as well as a strong presence in the Microsoft partner ecosystem. Jon is also known for his focus on authentic relationship-building, blending AI with human connection, and his journey toward purpose-driven leadership.

Managing business relationships today is a balance between efficiency and authenticity. While automation tools improve workflows, they can also make interactions feel impersonal. How can professionals use technology to grow relationships without losing the human connection?

For Jon Ferrara, a CRM pioneer, building strong business relationships requires shifting away from systems focused only on pipelines and reporting and instead prioritizing tools that support real human connection. He explains that effective relationship management happens when contact records are automatically enriched from sources such as email and LinkedIn, allowing users to focus more on engagement than manual entry. He highlights the importance of making relationship-building accessible to everyone in an organization, not just sales teams. This approach helps businesses stay organized while still being deeply personal in their outreach. He also emphasizes blending AI with intentional human actions to build trust and long-term relationships.

In this episode of the Inspired Insider Podcast, host Dr. Jeremy Weisz sits down with Jon Ferrara, Founder and CEO of Nimble, to discuss building technology that supports authentic relationship management. They explore why most CRMs fail at true connection, how AI can enhance — not replace — personalization, and how Nimble makes relationship-building easier across teams. Jon also shares lessons on service-driven business and personal resilience.

Ara Ohanian is the CEO of Netstock, a global provider of AI-powered inventory optimization and supply chain planning software for mid-market businesses. An experienced B2B SaaS and enterprise software leader, he brings deep insight into the challenges companies face when managing inventory, forecasting demand, and scaling operations. Ara leads Netstock's mission to help businesses reduce stockouts, lower excess inventory, and unlock working capital. He has held executive roles at Systech, Unite Us, Infor, and Dubilier & Co., bringing broad expertise across supply chain, ERP, compliance, and growth strategy.

Inventory can either fuel growth or quietly drain cash from a business. When companies rely on spreadsheets or outdated planning systems, they risk tying up working capital in the wrong products while missing demand for the right ones. So how can growing businesses forecast smarter, reduce stockouts, and keep cash moving?

Ara Ohanian, a seasoned B2B SaaS and enterprise software leader, says businesses need better visibility into what inventory they should have in the future, not just what they have today. He highlights the importance of using predictive planning tools to help companies make faster decisions when demand shifts, supplier costs change, or disruptions hit the supply chain. The main impact is more efficient inventory management, fewer missed sales, and less working capital tied up in excess stock. Instead of relying on manual spreadsheets, businesses can use AI-powered insights to anticipate demand across warehouses, markets, and product categories. This gives mid-market companies a stronger chance to compete with larger enterprises that have historically had access to more sophisticated planning resources.

In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz speaks with Ara Ohanian, CEO of Netstock, to discuss smarter forecasting for inventory and cash flow. Ara explains predictive ERP overlays, demand planning across warehouses, and retail forecasting challenges like pricing, promotions, and shelf life. He also shares leadership lessons on culture and curiosity.

Sasha Orloff is the CEO and Co-founder of Puzzle, an AI-powered accounting platform helping startups, small businesses, and accounting firms gain real-time financial insights through a smart general ledger. Before Puzzle, he was a serial entrepreneur, serving as Co-founder and CEO of LendUp and Co-founder & Advisor to Mission Lane, with previous ventures collectively raising over $1 billion. Sasha also hosts the "Tech Finance" with Sasha Orloff podcast, where he interviews leaders shaping the future of finance and accounting.

For many businesses, accounting remains a slow, backward-looking process that delivers insights long after decisions have already been made. As AI reshapes industries across the economy, could financial operations become real-time, accurate, and proactive rather than reactive? What would it take to modernize one of the most critical yet overlooked functions in business?

Sasha Orloff, a serial entrepreneur and technology innovator, says the key is to rebuild accounting systems from the ground up, with data integrity and AI at the core. He notes that traditional software lacks real-time intelligence, leading to inefficiencies and delays. By reengineering the general ledger, businesses can access faster, more reliable financial insights and automate complex workflows. AI-powered anomaly detection and reconciliation further improve accuracy while reducing manual effort. The outcome is a more scalable and intelligent financial system for companies of all sizes.

In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz talks with Sasha Orloff, CEO and Co-founder of Puzzle, about transforming accounting with AI. They cover rebuilding systems for the AI era, using AI for accuracy over speed, why strong accounting drives growth, and strategies for adoption, customer trust, and go-to-market in a conservative industry.