This AI agent can analyze historical procurement data to uncover cost trends and pinpoint inefficiencies, then forecast future spending requirements and prescribe targeted cost-saving measures. It can also identify unauthorized or noncompliant spending to enforce budget policies and improve control. By delivering these actionable insights, this solution enables procurement teams to budget effectively, drive savings, and reduce unnecessary expenditures.

Capabilities:

Analyzes historical procurement data to identify cost trends and inefficiencies.

Forecasts future spending needs and suggests cost-reduction measures.

Detects unauthorized purchases and supports budget compliance.

This solution is built on Azure AI Foundry and is invokable in PwC’s agent OS platform. Using agent OS, clients can design and orchestrate AI agents across enterprise workflows, via a drag-and-drop interface with natural language configuration. The solution is framework-agnostic, scalable, and designed for both tech and non-tech users. PwC’s agent OS readily supports multi-agent systems, recursive logic, and governance.

Predictive spend analytics and cost optimization AI agentPwC (Global)

Predictive spend analytics and cost optimization AI agent

PwC (Global)

Predictive spend analytics and cost optimization AI agent

PwC (Global)

Predictive spend analytics and cost optimization AI agent
PwC (Global)