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Agentic AI

Cameron is a new kind of AI that uses multiple “teamwork” agents to help people clearly understand and discuss their priorities around sustainability. It’s designed to solve a growing problem: many AI tools in areas like sustainable finance make important decisions, but don’t explain how they reach their conclusions—making it hard to trust them.

What makes Cameron different is that it’s built for openness and clarity. Instead of being a “black box,” it shows the reasoning behind its answers. Different AI agents within Cameron each have a role—like checking the information you provide, asking follow-up questions, keeping conversations on track, and creating new questions to explore. You can see the logic each one uses.

Cameron also brings in a unique way of looking at sustainability issues through four lenses:

  • Importance – how much it matters,
  • Sentiment – how people feel about it,
  • Urgency – how quickly action is needed, and
  • Conviction – how strongly someone believes in it.

By combining instant checks during the conversation with a later, more thorough review, Cameron makes sure the results are both reliable and easy to understand.

To know more visit the Cameron website

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