Heizen provides plug‑and‑play AI solutions that first map a company’s procurement workflows and then create custom AI systems tailored to those specific operations. By integrating with existing tools such as contracts, spreadsheets, ERP, and email, the platform automates supplier work and helps recover margin across complex supply chains. The approach ensures higher adoption and coverage of real‑world workflow exceptions compared to generic AI tools.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
1OFounders
Product
Problem
Procurement teams struggle to automate tasks because their workflows span multiple disparate systems—contracts, ERP, spreadsheets, email—and generic AI tools cannot understand the specific exceptions and nuances of each organization’s supply chain processes.
Solution
Heizen offers a plug‑and‑play AI platform that first maps a company’s unique procurement workflows across all connected systems, creating a detailed model of its operational DNA. Using this model, Heizen builds custom AI agents that integrate directly with the existing stack, automating supplier interactions, identifying margin‑recovery opportunities, and handling exceptions that generic solutions miss. The AI is continuously trained on the organization’s real data, ensuring high adoption and coverage of the actual workflow rather than a theoretical model. Results are delivered through a unified interface that allows procurement teams to monitor automation performance and intervene when needed, turning fragmented processes into a cohesive, AI‑driven operation.
Target Audience
Primary customers are procurement and supply chain teams in mid‑size to large enterprises that manage complex, multi‑system purchasing processes and seek to increase automation and cost recovery.
Features
- Automated discovery and mapping of procurement workflows across contracts, ERP, spreadsheets, email, and other data sources
- Custom-built AI agents tailored to the organization’s specific operational DNA and exception handling rules
- End‑to‑end integration that plugs into existing systems without requiring replacement or extensive reconfiguration
- Real‑time automation of supplier tasks such as order processing, invoice validation, and margin recovery
- Continuous learning loop that refines AI behavior based on live transaction data and user feedback
- Dashboard providing visibility into automation coverage, performance metrics, and savings realized