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Chatbots wait for you to ask questions. Suplari AI agents work proactively—continuously monitoring your data, detecting issues and opportunities, and taking action inside real workflows. They're autonomous workers, not just Q&A tools.
Every insight and recommendation is grounded in your actual enterprise data—spend records, supplier information, contract terms, and policy rules. Agents cite their sources and explain their reasoning, so your team can verify before acting.
Yes. Suplari Studio lets you configure thresholds, logic, and definitions without code. You can customize what "maverick spend" or "high-risk supplier" means for your business, and build entirely new agents using proven templates.
You control the level of autonomy. Some agents can execute automatically (like flagging anomalies), while others require human approval before triggering workflows (like initiating a sourcing event). You set the rules. How long does it take to deploy an AI agent?
Pre-built agent templates can be deployed in days, not months. Custom agents built in Studio typically take weeks to configure and test. Because Suplari works with your existing data—even if it's imperfect—you don't need a lengthy data preparation phase.
Agents operate on Suplari's unified data foundation, which connects to your ERP, P2P, sourcing, contract, and risk systems. The more data sources connected, the more context agents have—but you can start with spend data alone and expand over time.
Suplari tracks every agent action from detection through execution to realized outcome. You can see exactly which savings were identified, which risks were mitigated, and which workflows were automated—with clear attribution to agent activity.
Yes. Suplari AI agents operate within your governed data environment, with role-based access controls, audit logging, and compliance with enterprise security requirements. All agent actions are documented for audit purposes.
