Episode Summary: Automating Knowledge Work — Alberto Rizzoli on Building Trustworthy AI and the Future of Work

Podcast: The Digital Executive by Coruzant Technologies
Episode: 1140
Date: November 5, 2025
Guest: Alberto Rizzoli, Co-founder and CEO of V7
Host: Brian (Coruzant Technologies)

Overview

This episode centers on Alberto Rizzoli’s journey from building the computer vision app AIPoly for the visually impaired to leading V7, a B2B AI platform that automates complex knowledge work for major organizations. Alberto and Brian discuss what is required to build trustworthy AI, especially in high-stakes sectors like healthcare and finance, the challenges of transitioning from consumer to enterprise technology, and Alberto’s vision for the future of work in an AI-augmented world.

Key Discussion Points

1. From Mission-Driven Consumer Tech to Enterprise AI

• Transitioning Focus: Alberto reflects on moving from AIPoly, a consumer app helping the visually impaired, to V7, a B2B automation platform.
  • At AIPoly, the mission was “helping some of the least privileged people…people with total or almost total visual impairment.” (B, 01:59)
  • V7’s impact is less immediately visible but potentially greater, tackling large-scale inefficiencies: “V7 automates anything that we consider to be back office work…paperwork that really have to be done manually that ends up becoming a huge cost to society.” (B, 02:54)
• Storytelling & User Experience: A vital lesson from this transition is that B2B products must be inspiring and enjoyable to use:
  • “You need to develop a very strong sense of storytelling in order to inspire people to solve some of the most ugly and boring problems in society. And you also need to make it fun.” (B, 03:47)
  • Designing workflows to feel creative: “You feel like you're orchestrating these automations as a designer…as opposed to doing the actual boring work.” (B, 04:11)

2. Operationalizing Trustworthy AI in Regulated Industries

• Human + AI Collaboration: V7 empowers users to “show an AI the step by step process of anything that you do…so that ultimately you're creating your own AI agents that are almost like your own employees.” (B, 05:44)
• Edge Cases and Human Oversight: The platform is built to flag uncertainties and invite human input, essential in healthcare, finance, and insurance.
  • “For anything that is an edge case, they can come to you and ask you for questions and clarifications.” (B, 05:56)
• Traceable Evidence: Every AI-driven decision must be documented and traceable.
  • “It always needs to provide not just a source evidence as a link, but...highlight it with a box so they can never hallucinate. And...giving you a traceable answer.” (B, 07:09)
  • The AI is engineered not to “try and make the user happy like many AIs do, and to ask for help for anything that is subjective and requires a bit of a human opinion.” (B, 07:53)

3. AI Governance, Validation, and Trust-Building

• Industry Standards & Certifications: Alberto notes the role of certifications like ISO 27001 and SOC2 to reassure clients on data security and process integrity. (B, 08:58)
• Data Ethics and Client Control:
  • V7 never uses customer data to retrain its models: “We absolutely don't do that.” (B, 09:48)
  • Clients control their agents and data: “We want to provide them with the infrastructure to develop agents that belong to them, prompts that belong to them, output data that belongs to them.” (B, 10:14)
  • Building trust means “making sure that the customer on the other side sees you as a partner for the long run and understands that we are here to help them build something incredible with AI and not to effectively be this vacuum of data…” (B, 10:40)

4. The Future of Work and AI’s Societal Impact

• Rate of Change: Although AI’s explosive pace is “slowing down a little bit,” the next five years may bring more change than the last 15. (B, 11:48)
• Redefining Work: V7’s legacy aims to be removing bureaucracy and automating knowledge labor:
  • “I hope that V7 will remove all the bureaucracy that we’ve created… and reduce the margin of knowledge arbitrage to near zero.” (B, 13:00)
  • Societal benefits could include cheaper insurance, better public fund management, and less administrative waste.
• Empowering the Next Generation:
  • “Young graduates will want to adapt to becoming workflow designers and AI designers effectively. And it’s becoming accessible to even people that don’t know how to code…” (B, 13:57)
  • The hope: “the work that we don’t automate and don’t want to automate is everything that is interpersonal and creative. And I think it’s the sort of core of the human existence is to use our creativity and our social skills to advance a mission.” (B, 14:38)
  • Memorable moment: “The management of your taxes is not the reason why we’re on this earth…I hope that’s something we will offload to AI very soon.” (B, 14:46)

Notable Quotes & Memorable Moments

• On Mission-Driven Design:
  “If you’re building something B2B, you have to make it fun and you need a really good storytelling angle to it so the people are inspired by the mission behind it.” (B, 04:36)

• On AI & User Trust:
  “We’re much more forgiving if a human makes a clerical error…But we’re very inflexible towards automation because it makes us feel like we’ve gone the cheap route and…created a mistake that is systemic and…it’s affecting people.” (B, 06:32)

• On Building Trust with Clients:
  “We can’t claim to be creating trustworthy AI if we ourselves as the vendor cannot be trusted with our customers data. So it’s a very sacred element of what we’re given.” (B, 10:30)

• On the Opportunity for Youth:
  “It’s becoming accessible to even people that don’t know how to code to be able to look at a process and turn that process into an AI enabled one where humans do less than 20% of the work. I think that’s a huge opportunity for young people...” (B, 14:10)

• On Legacy and Human Creativity:
  “The work that we don’t automate and don’t want to automate is everything that is interpersonal and creative. And I think it’s the sort of core of the human existence is to use our creativity and our social skills to advance a mission.” (B, 14:38)

Timestamps for Important Segments

• [01:59] - Alberto describes lessons learned transitioning from AIPoly to V7
• [05:37] - How V7 operationalizes trustworthy AI with human-AI collaboration
• [07:09] - Ensuring AI traceability and evidence-based decision making
• [08:58] - Governance frameworks, data security, and never using client data for AI training
• [11:48] - Alberto’s vision for AI’s impact on society and the nature of work in 5-10 years
• [13:57] - How young people can adapt to designing AI workflows, and which human skills remain relevant

Final Thoughts

Alberto Rizzoli’s perspective fuses technical rigor, ethical awareness, and a humanistic vision for AI. He emphasizes making enterprise AI inspiring, transparent, and user-empowering, while charting a path toward a future where knowledge work is augmented, not replaced, and bureaucracy is a thing of the past.

Closing Call to Action:
“For anyone that is young and wants to automate a process, come talk to us at v7labs.com…” (B, 15:35)