In this episode of The Margin, MGI Research Managing Director Andrew Dailey speaks with Noel Goggin, former CEO of Conga and board member at Anaplan and Auctane, to examine how artificial intelligence is fundamentally reshaping enterprise software companies. While much of the market conversation has focused on whether AI will disrupt the SaaS business model, Goggin argues that the more important challenge is organizational speed. As AI dramatically compresses product development cycles and lowers the cost of experimentation, software vendors must rethink pricing, product development, customer retention, and internal operations simultaneously.
Drawing on decades of executive leadership through major technology transitions, Goggin explains why incumbent software companies possess valuable advantages, including customer relationships, domain expertise, and mission-critical data, but must overcome organizational inertia to capitalize on them. The discussion explores the growing pressure on traditional seat-based pricing, the emergence of AI-first product strategies, the importance of creating organizational capacity through internal AI adoption, and why “clock speed” may become the defining competitive advantage of the next generation of enterprise software companies. The conversation concludes with Goggin’s perspective on software valuations, M&A activity, enterprise architecture, and where AI-driven transformation is likely to create the greatest long-term value.
Key Analytical Takeaways
- The Pressure on Traditional SaaS Economics: Why seat-based licensing models are increasingly vulnerable as AI changes software utilization patterns, forcing vendors to rethink pricing, renewal strategies, and monetization before customers demand it.
- Clock Speed as Competitive Advantage: How AI compresses product development cycles and market experimentation, making organizational agility and cross-functional execution more important than the underlying SaaS business model itself.
- Creating Capacity Through Internal AI: Why successful software companies will use AI first to simplify operations, accelerate software development, improve internal workflows, and free resources that can be reinvested into innovation and growth.
- Balancing Innovation with Customer Retention: How established vendors must simultaneously protect renewal rates for existing products while building AI-first offerings capable of driving competitive wins and incremental revenue.
- The Next Phase of Enterprise Software: Why mission-critical enterprise applications remain well positioned despite AI disruption, as organizations increasingly combine packaged software with internally developed AI agents, faster development cycles, and new application architectures built around proprietary enterprise data.
Featured Experts
Andrew Dailey | Managing Director, MGI Research
Andrew Dailey is a co-founder and managing partner of MGI Research. Andrew brings his 25+ years of diversified technology and financial services experience working in the enterprise software market and Fortune 500 firms to his clients.
Noel Goggin | Former CEO, Conga
Noel Goggin is an enterprise software executive and board member with decades of experience leading high-growth technology companies through periods of strategic transformation. As former CEO of Conga, he led the company’s operational turnaround, product transformation, and acquisition strategy while achieving Rule of 40 performance. He currently serves on multiple technology company boards and advises organizations on AI strategy, enterprise software innovation, and executive leadership.
