Kansoforce provides an AI platform that creates autonomous “AI Employees” to navigate and act across integrated enterprise applications. It ingests data from ERP, HR, CRM and unstructured sources, builds a searchable knowledge graph, and enables context‑aware, multi‑step workflow automation with governance, role‑based access controls, and audit trails. The service is offered as a subscription SaaS with APIs and a low‑code SDK for rapid integration.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often operate with siloed HR, finance, CRM, and ERP systems, forcing employees to perform manual handoffs, maintain ad‑hoc integrations, and search through scattered documents for critical knowledge. This fragmentation drives high coordination overhead and prevents timely, data‑driven decision‑making.
Solution
Kansoforce delivers an agentic AI platform that deploys autonomous “AI Employees” to traverse and act across connected enterprise applications. The platform first ingests data from existing systems and unstructured repositories, then indexes and structures that knowledge into a searchable knowledge graph. A reasoning layer with persistent memory enables the AI Employees to understand business context, surface relevant patterns, and execute multi‑step workflows—such as invoice routing, purchase‑order matching, or product‑history queries—without continuous human prompting. Built‑in governance, role‑based access controls, and audit trails ensure compliance while preserving data security. Results are exposed through a web dashboard and API endpoints for downstream integration, allowing organizations to shift from coordination to execution at scale.
Target Audience
The primary customers are mid‑size to large enterprises in manufacturing, pharmaceuticals, and financial services that manage complex ERP/CRM ecosystems and need to automate cross‑system processes while unlocking internal product and supplier intelligence.
Features
- Native connectors for major ERP, HRIS, CRM, and finance suites, supporting real‑time bi‑directional sync
- Knowledge‑structuring engine that extracts entities from PDFs, CAD files, and legacy databases into a unified graph
- Reasoning & memory layer powered by large‑language models fine‑tuned on proprietary data, enabling context‑aware decision logic
- AI Employees that orchestrate end‑to‑end workflows with configurable human‑in‑the‑loop approvals and escalation rules
- Governance tier that logs every action, enforces RBAC, and provides immutable audit trails for regulatory compliance
- Secure, zero‑trust architecture with end‑to‑end encryption and on‑premise data residency options
- Low‑code SDK and REST/GraphQL APIs for rapid integration into existing portals and custom applications
- Analytics console offering KPI dashboards, workflow performance metrics, and knowledge‑retrieval latency reporting