- A simplified framework for evaluating AI vendors.
- Ensuring data security and regulatory compliance in the age of AI.
- Protecting your trade data and user privacy.
- Identifying mature AI partners through transparent practices.
In the rapidly evolving landscape of artificial intelligence, businesses are eager to harness its transformative power. However, the enthusiasm must be tempered with rigorous due diligence, especially concerning data handling and compliance. This session from GROW ANZ 2026 at HubSpot Live distills the complex challenge of AI adoption into a straightforward, five-question framework designed to empower every team member to vet AI tools effectively.
The speaker introduced a simplified, internally-used framework comprising five critical questions. This framework is designed to be accessible to anyone in the business, from sales professionals advocating for new tools to security experts. The goal is to equip individuals with the necessary inquiries to engage vendors and understand their practices regarding data usage and security.
Key among these questions is whether an AI vendor uses a client's trade data for training their AI models. A clear, specific answer to this question is paramount. Equally vital is the inquiry into data security. Beyond pre-AI concerns, the advent of AI amplifies the need for robust security protocols. Vendors should transparently articulate their data security measures, often detailed in a 'trust center' or documentation, adhering to globally accepted standards like ISO 27001 or SOC 2.
Further questions delve into data access and deletion. Businesses must understand who within the vendor's company (e.g., product teams, support teams) can access their data and where that data resides. Crucially, vendors must demonstrate a clear process for complying with laws and regulations, with GDPR compliance serving as a benchmark. A lack of a robust GDPR strategy is a significant red flag. Finally, a clear, articulated process for data deletion upon request or contract termination, including mechanisms like cryptographic hashing, indicates a mature and responsible vendor.
By consistently asking these five questions, businesses can move beyond the hype and make informed decisions about AI adoption. This proactive approach not only safeguards sensitive data and ensures legal compliance but also helps in identifying partners who uphold high standards of data hygiene and transparency, ultimately fostering trust in the AI tools they integrate.
“If you can get reasonable answers to these questions just from their website, that's a good indicator that you're dealing with a mature company.”
- Erika Fisher, Speaker
