Sotant creates custom AI Employees that autonomously monitor contracts, invoices, and service level agreements to detect pricing or compliance mismatches in real time, alerting stakeholders and triggering corrective actions without requiring integration into existing IT systems. The service includes an AI Opportunity Audit to identify high‑impact leakage sources and a performance‑based pricing model that ties payment to proven reductions in revenue leakage.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises with complex, contract‑driven supply chain, procurement, and logistics operations often rely on manual reviews of contracts, invoices, and service level agreements. Human errors and delayed actions cause revenue leakage and margin erosion, while adding headcount or IT projects to automate these tasks is costly and slow.
Solution
Sotant builds custom AI Employees that act as autonomous operational analysts for specific workflows such as contract enforcement, procurement coordination, and logistics management. These agents ingest contracts, pricing tables, invoices, and other operational documents, continuously compare actual transactions against agreed terms, and trigger alerts or corrective actions when deviations occur. By operating without requiring integration into existing codebases or dedicated IT resources, the AI Employees can be deployed quickly and scale with usage. Sotant also provides an upfront AI Opportunity Audit to pinpoint the highest‑impact leakage sources and design a tailored AI Employee that delivers measurable ROI. The service includes hosting, maintenance, and ongoing updates, with a performance guarantee that ties payment to demonstrated reduction in revenue leakage.
Target Audience
Primary customers are CFOs, COOs, heads of procurement, logistics, and operations teams in mid‑size to large enterprises that manage contract‑heavy, high‑volume supply chain workflows.
Features
- Custom‑built AI agents that ingest and parse contracts, invoices, and SLA data to detect pricing or compliance mismatches
- Real‑time monitoring and automated triggering of remediation actions (e.g., flagging invoices, notifying stakeholders)
- No‑code deployment that operates independently of the customer’s IT stack, requiring only business‑level access to data sources
- AI Opportunity Audit that identifies high‑value leakage points and delivers a detailed implementation blueprint
- Performance‑based pricing model: customers pay only if the AI Employee reduces leakage or inefficiencies
- Scalable hosting and maintenance with regular model updates to adapt to changing contract terms and business rules