Looks Smart, Gets It Wrong: Hallucination and AI Agents

Generative AI is impressive — but it makes things up more often than most of us realize.

MCP and the AI Governance Gap: A Wake-Up Call for Enterprise

Anthropic's Model Context Protocol (MCP) is gaining significant attention in the AI community. But is it pushing some important governance issues into the background?

AI Agent Definition

An AI agent is a intelligent software with AGENCY - it can make decisions and take ACTION to achieve its objectives.

AI as a Teammate? A Groundbreaking Study Says Yes—And It’s Surprisingly Human

If AI agents are going to fit into our workplace, they need to do more than just perform—they need to collaborate, communicate, and connect —like good teammates.

Live AI Agent Audit

You've deployed your AI Agent, or you're about to. Make sure it's reliable, safe-to-use and engineered to last.

Before You Build: The AI Agent Risk Audit

Governance structures and control strategies are the focus of our AI Agent Risk Audit, specifically designed for a single proposed or conceptualized AI agent solution—one that isn’t yet built or deployed.

AI Agent Safe Opportunity Audit

A focused evaluation to identify where AI-driven agents can unlock efficiencies, enhance customer experiences, and create new value while managing risk and protecting your organization's reputation.

Integration Checklist

Use this checklist to make sure your AI agent is a team player.

Governance Checklist

This list covers key governance principles that will help your organization to exercise control over its AI systems.

Financial Viability Checklist

Check that your AI Agent delivers tangible financial value.