Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?

I've worked as an AE at Varonis, ActiveCampaign, and now ServiceNow. My experience spans cybersecurity, marketing automation, and enterprise workflow digitization. I've sold across the EMEA region, particularly in Italy and Switzerland, and have consistently been recognized for my performance and growth.

Q2. What is the projected growth trajectory of the SaaS market through 2030, and which sub-sectors are expected to lead this expansion?

The SaaS market is expected to surpass $1 trillion by 2030, with key growth in cybersecurity, AI-powered tools, and vertical-specific solutions like health tech and fintech.

Q3. What are the ethical and regulatory considerations surrounding agentic AI, and how might they impact various domains?

Challenges include a lack of transparency, accountability for autonomous actions, and compliance with laws like the EU AI Act. These concerns can limit adoption in regulated industries.

Q4. How are AI-native startups leveraging agentic AI to disrupt traditional enterprise workflows, and what opportunities does this present? Give examples

Startups like Adept and Cognition AI use agentic AI to automate tasks in enterprise tools or software development. This reshapes workflows and opens up new productivity models.

Q5. What impact does the integration of AI technologies have on cybersecurity M&A activities?

AI capabilities are driving higher valuations and faster acquisitions. Large vendors are acquiring AI-native startups to enhance detection, automation, and threat response capabilities.

Q6. What challenges does SaaS sprawl pose to organizations, and how can investment in management solutions mitigate these issues?

Sprawl leads to wasted spend and security risks. SaaS management platforms help monitor usage, cut costs, and enforce governance by consolidating oversight.

Q7. If you were an investor looking at companies within the space, what critical question would you pose to their senior management?

How are you embedding AI in a way that's core to your value and hard to replicate?