Manifest 2026: Freehand debuts with dedicated AI agents for supply chain spend management

At Manifest 2026 in Las Vegas, agentic AI studio for supply chain and finance teams, Freehand, announced its official launch.

The San Francisco-based company said its mission is to streamline manual labor and brittle workflows plaguing the supply chain industry.

Company founding builds on the success of Pi 

Founded by Nitin Jayakrishnan and Abhijeet Manohar, Freehand said it is an agentic AI platform designed to run end-to-end supply chain spend and operation workflows, connecting procurement, logistics and finance across both source-to-pay and order-to-cash.

Freehand said it is building on the success of Pi, the AI team that demonstrated the power of agentic automation in complex, real-world logistics operations. Global momentum led to the creation of Freehand as a standalone AI-native platform built to scale this model across supply chain spend.

Freehand said it has already begun replacing internal teams and outsourced business process outsourcing (BPO) workflows at Fortune 500 enterprises. The company said its early deployments have delivered 60-80% reductions in reconciliation and audit cycle times, and 30-50% reductions in manual accounts payable (AP) and accounts receivable (AR) effort, with logistics as the initial area of deployment.

“For enterprise, finance and logistics leaders who rely on large internal teams to manually bridge the gap between disorganized real-world communication and rigid systems of record, Freehand provides AI Agents that autonomously read, reason and execute directly on unstructured inputs while capturing the full decision context behind every action,” said Jayakrishnan, founder and CEO of Freehand. “Freehand doesn’t just translate data into clean records. It becomes the system of record for how decisions are made, so you can shut down the exception factory, and run operations that get it right the first time.” 

Unlike other AI agents in the space, Freehand said its AI team is powered by the company’s proprietary domain-trained language and reasoning models for supply chain operations and can:

• Read unstructured inputs (emails, invoices, contracts, rate cards)
• Reason across policies, contracts and live operational data
• Execute decisions across enterprise resource planning (ERP), transportation management systems (TMS), warehouse management system (WMS), finance systems and partner portals
• Operate with full traceability, controls and audit logs

Freehand added that with its offering, enterprises are no longer managing supply chain spend through fragmented tools, outsourced labor or manual exceptions. They’re deploying autonomous AI teams that take responsibility for real work and real outcomes.