One business graph
Customers, people, projects, invoices, conversations, documents, and events remain connected instead of copied between tools.
Runlium AI Business OS
Runlium connects CRM, projects, people, finance, support, documents, workflows, and AI agents inside one intelligent business operating platform.
Why Runlium
The advantage comes from the shared architecture: the same identity, permissions, records, events, search, and automation across every module.
Customers, people, projects, invoices, conversations, documents, and events remain connected instead of copied between tools.
Answers are grounded in permission-filtered records and designed to show the evidence behind important conclusions.
High-impact actions pause for review. Every tool call, approval, change, and external effect belongs in an audit timeline.
Automations are designed for retries, exceptions, long-running approvals, and reliable recovery—not fragile chains of hidden steps.
The suite
Each module works independently, but becomes more valuable as customer, delivery, people, financial, and support context connects.
A permission-aware assistant that understands every connected business record.
A flexible customer system for leads, deals, accounts, renewals, and relationships.
Projects, tasks, milestones, capacity, time, files, and client delivery in one workspace.
Employee records, onboarding, leave, documents, goals, reviews, and operating requests.
Invoices, expenses, approvals, subscriptions, budgets, and operational finance visibility.
Omnichannel tickets, service levels, knowledge, customer health, and success plans.
Documents, decisions, policies, procedures, wikis, templates, and governed knowledge.
Event-driven workflows, approvals, agents, schedules, integrations, and execution history.
Configure the platform
Use the interactive planner to see how the first workspace could be assembled. Pricing is illustrative while founding-customer discovery is underway.
Final pricing will depend on AI, automation, storage, and deployment usage.
Trust architecture
The product is being designed around tenant isolation, least privilege, approval boundaries, source visibility, durable execution, and complete audit history.
Proposed founding plans
Unlimited members on every proposed plan. Variable costs are tied to AI, automation, storage, and deployment usage.
For small teams replacing scattered tools with one connected workspace.
For operating teams that need every core module, controls, and deeper automation.
For regulated or complex organizations requiring deployment and identity options.
These are proposed founding-access plans for product validation, not a binding public offer. Taxes, usage overages, implementation, and enterprise deployment are excluded.
Field notes
Original product strategy, architecture, security, and buyer guidance—written to be useful to people and understandable to search and AI systems.
A practical definition of the platform category, how it differs from point tools, and the architecture required to make it useful.
7 min read · Updated 2026-08-31AI governanceA design framework for permission-aware agents, human approvals, durable execution, auditability, and cost control.
8 min read · Updated 2026-08-31Buyer guideA buyer-focused comparison of connected operating platforms and specialized SaaS tools, including where each model wins.
6 min read · Updated 2026-08-31Frequently asked
The website intentionally separates product vision from completed assurance claims.
Runlium is an AI-native business operating system designed to connect CRM, projects, people, finance, support, documents, workflows, automations, and permission-aware AI agents through one shared business platform.
Traditional SaaS often separates company information across disconnected applications. Runlium is designed around one shared business graph, permissions layer, automation engine, and AI interface, so a customer, deal, project, invoice, and support history stay connected instead of duplicated.
AI should inherit the user’s permissions, cite the records used for important answers, and require approval before sensitive or high-impact actions. Organization administrators should also be able to control models, tools, data access, retention, and usage limits.
The proposed launch model is workspace- and usage-based with unlimited members. AI consumption, automation volume, storage, and enterprise deployment requirements are the main variable cost drivers.
Data portability is a product principle. The production platform should provide structured exports, documented APIs, webhooks, and clear retention and deletion controls.
No certification is claimed on this starter website. The security page separates launch controls from planned assurance work so buyers are not misled. Formal certifications should only be published after independent completion.
Build the right first version
Founding conversations will determine the first production modules, integrations, migration paths, and pricing boundaries.