Copilot Studio
Description
Copilot Studio will help NNL build custom AI agents that automate repetitive tasks, answer common questions, and streamline workflows across departments, all without requiring deep coding expertise.
Detailed example
Depending on how the agent is designed, outputs can represent recommendations (e.g., suggesting a action), captured user inputs (like dates, names, or preferences), or contextual responses generated using AI.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Copilot Studio delivers significant benefits by enabling NNL to build custom AI agents that automate routine tasks, enhance decision-making, and improve operational efficiency, all through a low-code interface.
Audit / financial statement impact
Output of generative AI is administratively prohibited from being used as principal responses in the various scenarios considered high impact.
Controls / human review
ATO: Not reported; PIA: Not published