Tally provides an agentic execution system for enterprise supply chains, using AI agents to automate workflows across logistics, accounts payable, and accounts receivable. The platform builds a living context graph of a company's operations, enabling agents to reason over contracts, rate cards, and systems to resolve discrepancies and execute tasks. Tally's agents handle everything from invoice reconciliation to shipment tracking, with every action policy-bound and auditable.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise supply chain and logistics operations rely on disconnected systems—TMS, WMS, email, and finance tools—that don't share context, causing revenue leakage, delayed invoices, and manual reconciliation. Teams waste time chasing down information across inboxes and systems of record, leading to missed charges, disputes, and lost margin.
Solution
Tally provides an agentic execution system (aES) that reasons over complex supply chain workflows and takes action on behalf of operations and finance teams. The platform builds a living context graph that maps every carrier, contract, lane, and exception, grounding each agent action in rate cards, contracts, quotes, and SOPs. Tally's agents update systems in real time, reconcile invoices, match payments, flag short pays, and resolve discrepancies automatically. The platform ships with a skills library for quoting, tendering, and tracking, and every agent action is policy-bound, auditable, and reversible. Tally connects directly to existing inboxes, systems of record, and supply chain operating systems, turning hard-won operational judgment into execution at scale.
Target Audience
Primary customers are enterprise supply chain and logistics teams, including operations, finance, and revenue operations leaders at companies that move, make, and buy goods. The platform serves organizations with complex multi-system workflows where revenue leakage and manual handoffs are common pain points.
Features
- Context graph that maps customers, vendors, contracts, and operations into a single source of truth for every agent and decision
- Model-agnostic LLM routing that selects the best large language model for each task
- Agentic harness that routes tools, enforces policy, and carries memory through every step
- Pre-built skills library for enterprise supply chain workflows including quoting, tendering, and tracking
- Live data freshness with zero manual updates—agents keep systems current as work happens
- Security and governance controls ensuring every agent action is policy-bound, auditable, and reversible
- Integrations with inboxes, systems of record, and supply chain operating systems
- Automated accounts receivable with payment matching, short-pay flagging, and credit application