Run is a platform that deploys AI‑driven coworkers to continuously monitor signals from email, chat, document and enterprise systems, automatically extracting, classifying, and routing data while applying organization‑wide rules and approval policies. Its Context Engine shares learned knowledge across all AI coworkers, enabling end‑to‑end, auditable automation of multi‑step processes such as invoice handling, onboarding, and ticket triage without custom scripting.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often struggle with fragmented workflows that span email, chat, document platforms, and enterprise systems, requiring manual data extraction, routing, and approval processes that are time‑consuming and error‑prone. The lack of unified automation leads to delayed operations, inconsistent compliance, and high overhead for routine tasks such as invoice handling, onboarding, and ticket triage.
Solution
Run provides a platform that deploys AI‑driven “coworkers” which continuously monitor signals from email, Slack, Teams, DocuSign, Jira, ERP, CRM, and other sources. Each AI coworker interprets incoming information, enriches it with organizational context (rules, approvals, vendor preferences, compliance requirements), and autonomously executes the appropriate actions—extracting data, filing documents, requesting approvals, and updating downstream systems. The system’s Context Engine ensures that knowledge learned by one coworker is shared across all, improving accuracy and efficiency over time. Users retain control through just‑in‑time prompts for feedback or approvals, while all activities are logged for audit and compliance. This enables end‑to‑end automation of multi‑step, asynchronous business processes without custom scripting.
Target Audience
Run targets mid‑size to large enterprises that manage high volumes of routine transactional work across finance, procurement, HR, IT, and sales, and that need automated, auditable process orchestration across multiple SaaS and legacy systems.
Features
- Continuous signal ingestion from email, Slack, Teams, DocuSign, Jira, webhooks, ERP, CRM, and cloud storage
- AI coworkers that extract, classify, and route data (e.g., invoices, contracts, access requests) with automatic filing to designated drives
- Context Engine that applies organization‑wide rules, finance approval policies, escalation paths, and vendor preferences to each action
- Real‑time approval workflows delivered in chat (Slack/Teams) with pause‑and‑resume handling for human input
- Centralized audit log and permission scoping for compliance and governance
- Active learning loop where insights from one process improve all AI coworkers across the organization
- Plug‑and‑play integrations with major SaaS tools and on‑premise systems via webhooks and APIs