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Bourne

Bourne is an enterprise automation platform that connects disparate business systems, maps how work actually flows, and converts those processes into self-running, self-improving operations. The platform uses AI agents, automations, and apps to handle work across finance, HR, support, and supply chain, with documented results including resolving 68% of support tickets autonomously and generating five-minute quotes for industrial manufacturers.

Traction –/10
Middletown, Delaware, United States · HQ
110+ followers
  • Enterprise Software
  • AI Agents
  • Artificial Intelligence
  • Software Only
Updated today

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Large enterprises operate across disconnected systems and departments, creating silos that obscure how work truly flows. No single person understands the full operational picture, and processes are not structured in a way that machines can run, leaving slow, expensive bottlenecks that constrain business growth.

Solution

Bourne connects every system a business runs on into a unified view, then builds a model of the business from that data to map how work really flows. The platform restructures each process into a form a machine can run, then automates it using agents, automations, and apps that plan and act for hours or days. Bourne includes built-in self-improvement, where every decision a person makes goes into memory so the next similar case runs on its own. The platform provides testing, monitoring, security, and governance features, with deployment available in the customer's own cloud or Bourne's hosted environment.

Target Audience

Primary customers are large enterprises with complex, siloed operations across finance, HR, support, and supply chain, including industrial manufacturers, steel companies, software companies, and benefits administration firms.

Features

  • Connectors that read and write any system with an API, database, or file feed, from ERP and CRM to machine data, plus document reading and computer use for legacy apps without APIs
  • Ontology layer with objects, relationships, processes, and memory that captures past decisions and exception resolutions
  • Agents, automations, and apps that operate across channels including Slack, Teams, email, and voice, with human-in-the-loop for uncertain cases
  • Coding agent that builds most automations from plain-language descriptions, with version control and rollback
  • Evals that test changes against real business cases, with an improvement loop where the coding agent fixes failures and retests automatically
  • Security features including SAML SSO, role-based access, deployment in customer's AWS/Azure/GCP, TLS 1.2+ in transit, and AES-256 at rest
  • Governance controls with granular permissions, full audit trail, and configurable approval workflows
This profile is AI-generated and may contain inaccuracies.