Question

A logistics company is planning its AI strategy. The COO wants to automate a process where inbound shipping documents arrive in a fixed PDF template, and specific fields must be extracted and written into an ERP system with no exceptions or judgment involved. Separately, the COO wants to handle carrier dispute negotiations where reasoning over unstructured emails, weighing contract terms, and choosing among possible resolutions is required. As the Business Solutions Architect, how should you advise structuring the AI strategy for these two needs?

Accepted Answer

Use deterministic workflow automation (with document extraction) for the fixed-template extraction, and an agentic solution for the carrier dispute negotiation that requires reasoning and decision-making.

Answer

Build an autonomous multi-agent solution for both needs, since agents provide the most future-proof foundation regardless of task type.

Answer

Use an agent for the fixed-template extraction to leverage generative flexibility, and deterministic workflow automation for the dispute negotiation to ensure consistency.

Answer

Combine both needs into a single Copilot Studio agent so all logistics logic is centralized in one place for easier governance.