JotVision
JotVision automates complex enterprise workflows that span disconnected systems like ERP, email, spreadsheets, and supplier portals, using AI agents to pull data, reconcile records, and execute routine steps end to end. The platform keeps humans in the loop for judgment-based exceptions, and its AVA computer-vision layer turns physical-world observations into structured data that can trigger workflows. JotVision operates the workflows it builds, measuring impact through cycle time, accuracy, and margin metrics against customer baselines.
- Enterprise Software
- AI Agents
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Enterprise workflows that require moving data between disparate systems—ERP, CRM, SaaS applications, databases, portals, files, and email—are messy and error-prone. Information needed for a single decision is scattered, records disagree across systems, and rules must be manually interpreted and applied, creating slow, costly, and risky operations.
Solution
JotVision acts as a system of action layered across existing systems of record, using AI agents and trained operators to assemble context, reconcile data, and execute routine workflows end to end. Agents flag exceptions that require judgment, which are then reviewed and resolved by people who can teach the system new rules for future handling. The platform measures its impact through cycle time, accuracy, throughput, and margin/risk metrics compared against a customer's baseline. It requires no replacement of existing infrastructure and no new platform for teams to learn or maintain. JotVision also offers AVA, an agentic visual application layer that interprets physical environments through cameras, turning observations into structured data that can trigger workflows.
Target Audience
Operations teams and business leaders at mid-market distributors, manufacturers, and industrial suppliers with complex, cross-system workflows spanning ERP, CRM, SaaS, and legacy infrastructure, where manual data reconciliation bottlenecks are costly.
Features
- AI agents that assemble the context needed for each workflow step from multiple systems
- Automated reconciliation of conflicting or incomplete records across ERP, CRM, SaaS, databases, and legacy systems
- Human-in-the-loop exception handling with a teach mechanism to codify new rules
- Workflow execution across files, email, portals, and databases without replacing existing systems
- Metrics tracking for cycle time, accuracy, throughput, and margin/risk against baseline performance
- AVA computer-vision layer that detects objects, people, events, and states in physical environments and converts them into structured data
- Natural-language intent configuration for visual applications, allowing workflows to change without rebuilding
- Robotic visual inspection and surgical instrument tray identification capabilities powered by LayerJot