Google’s most powerful AI model is still rolling out globally – and you already have access. Gemini 3 Pro and Gemini 2.5 Flash are now available in the Enterprise model dropdown. One click. No configuration. Enable Gemini Now Already tested. […]
Google’s most powerful AI model is still rolling out globally – and you already have access. Gemini 3 Pro and Gemini 2.5 Flash are now available in the Enterprise model dropdown. One click. No configuration. Enable Gemini Now Already tested. […]
People would pay good money for your expertise. The question is – can they access it? Launch a new revenue stream with a 24/7 expert AI assistant. Give customers expert answers based on your existing content. No devs. No new […]
Your AI agent is often the first interaction customers have with your brand. It answers questions, captures leads, drives conversions. First impressions are visual – and now your agent makes a better one. Introducing CustomGPT.ai’s Upgraded Agent UI In this example above, […]
An enterprise-ready AI assistant should support enforceable federated SSO (SAML/OIDC), least-privilege RBAC, protected admin audit logs, and defenses against prompt injection and data leakage (especially in RAG). Validate these by running an admin-live demo plus prompt-injection and offboarding test cases, […]
To verify AI responses for GDPR compliance, treat every answer as a personal-data processing event: check whether it includes personal data, whether the requester is authorized to receive it, whether the use matches a lawful purpose and lawful basis, whether […]
To make a “lawyer AI chatbot,” build a retrieval-based assistant that answers from approved sources, shows citations, and escalates anything that looks like individualized legal advice to a licensed attorney. Add clear disclosures that it’s an AI program (not a […]
AI governance in finance is the set of controls that make AI outputs defensible, ownership, validation, monitoring, and documented approvals. With GenAI, that means verifying each response against approved source documents and capturing review signals that Legal, Risk, and Security […]
Legal blocks GenAI to prevent AI legal issues when outputs can’t be traced, justified, or governed. To get to “yes,” define allowed use cases, lock AI to approved sources, and require verification that each claim is supported, producing an auditable […]
Implementing a practical AI governance framework starts with clear roles. An AI governance RACI for a GenAI assistant assigns who owns intake, data and knowledge sources, security controls, legal/compliance sign-off, monitoring, and incident response. Without it, deployments stall or ship […]
Enterprise chatbots can produce confident, incorrect answers (“hallucinations”), which creates trust, compliance, and security risk. An AI governance checklist helps you define what the bot is allowed to say, prove what it used as evidence, and continuously verify responses, especially […]
