Gintic provides enterprise‑grade AI agents that integrate directly with a company’s back‑office systems to automate processes such as accounts payable, receivable, month‑end close, bookkeeping, compliance, and procurement. Their platform handles the full stack—from data ingestion to user interface—allowing customers to design, deploy, and fine‑tune digital workers on their own rules and approval chains, typically moving from kickoff to production in about two weeks.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often rely on manual, fragmented processes for back‑office functions such as accounts payable, accounts receivable, month‑end close, bookkeeping, compliance, and procurement. These tasks require extensive data entry, cross‑system validation, and multiple approval steps, leading to high labor costs, error rates, and slow cycle times.
Solution
Gintic delivers enterprise‑grade AI agents that embed directly into a company’s existing ERP, vendor portals, CLM, and other core systems. The platform ingests data from all relevant sources, applies custom‑coded business rules, validation logic, and approval hierarchies, and executes the required actions through the same user interfaces employees already use. Each deployment is built around the client’s specific processes, edge cases, and compliance requirements, with a full‑stack approach that includes data integration, governance, context handling, and a user‑facing interface. Gintic’s agents are self‑evaluating to reduce false positives and negatives, and they provide audit‑ready logs for every decision. Typical implementations reach production within two weeks, allowing organizations to accelerate processing while maintaining control.
Target Audience
Primary customers are large enterprises and mid‑market organizations that run high‑volume back‑office operations—such as finance, accounting, compliance, and procurement teams—within ERP environments like Oracle Fusion.
Features
- End‑to‑end data ingestion from ERP, vendor portals, CLM, procurement trackers, and other back‑office systems
- Customizable rule engine that encodes client‑specific validation rules, exception paths, and approval matrices
- Real‑time invoice processing with PO matching, rate‑card verification, GST/TDS compliance checks, and multi‑entity handling
- Integrated with existing approval workflows; all actions are logged, timestamped, and auditable for SOX and other regulatory standards
- Self‑evaluating AI that continuously monitors for false positives/negatives and surfaces exceptions for human review
- Observability layer (Pulse) providing real‑time visibility into processing accuracy, exception rates, and SLA adherence
- Seamless deployment within two weeks via embedded implementation teams and a full‑stack ownership model