Description
Interloom offers a powerful AI platform designed to supercharge back-office operations by enabling subject matter experts to build and manage automations without writing code. The system learns how a business actually runs, accelerating workflows in areas like facilities management, insurance, banking, logistics, energy, and ITSM.
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At its core, Interloom is built for domain experts. Unlike traditional automation platforms that require developer intervention, Interloom puts control directly into the hands of those who understand the business processes best. These experts can design workflows, establish governance, and construct automations simply by describing them in natural language. This approach ensures that automations are aligned with real-world business needs and are easily maintainable.
The platform emphasizes context that compounds. Every case resolved by an expert enriches a dynamic context graph, which serves as a living record of decisions, their outcomes, and the reasoning behind them. This accumulated knowledge prevents information loss and provides a robust foundation for future automations. AI agents then leverage this context graph, rather than generic training data or static documentation, to perform tasks such as extraction, triage, and follow-ups.
Interloom's unique methodology allows for automation through description. Procedures are written as if explaining a task to a new colleague, and agents are briefed like contractors. The system interprets these natural language descriptions to build and execute the described processes. Each piece of work, whether a ticket, order, claim, or request, is managed as a case with a status, history, attached files, and a communication thread for both human and agent interactions.
Field agents, a key component, operate autonomously within their defined scope and credentials, drawing on past work memory and escalating issues outside their remit. Procedures are structured as sequences of stages, which can involve people, autonomous agents, or deterministic scripts, providing flexibility in handling diverse case types. Interloom integrates seamlessly with existing tools like SharePoint, Salesforce, SAP, Microsoft Teams, Confluence, Google Workspace, ServiceNow, Jira Service Management, and Slack, ensuring workflows remain grounded in live systems by reading, writing, and syncing data across the technology stack.
- CategoryAI Agent Builders
- DeploymentCloud
- PlatformsWeb
Interloom's Core Features
AI agents for task automation
Natural language workflow design
Context graph for knowledge accumulation
No-code automation builder
Case management system
Field agents with autonomous operation
Integration with enterprise tools
Automations built from descriptions
Subject matter expert control
Continuous learning from resolved cases
Workflow governance
Deterministic script execution
How to use Interloom?
Describe: Explain your business procedures and agent tasks in natural language.
Build: Interloom reads your descriptions and constructs the described workflows and agents.
Integrate: Connect Interloom to your existing software stack for data synchronization.
Deploy: Launch production workflows with forward-deployed Interloom engineers.
Operate: AI agents and field agents autonomously execute tasks, drawing on accumulated context.
Refine: Continuously improve automations as the context graph grows with new decisions and outcomes.
Interloom's Use Cases
- Facilities Management
- Insurance Claims Processing
- Banking Operations
- Logistics Coordination
- Energy Sector Workflows
- IT Service Management
- New Hire Onboarding
- Invoice and Lease Management
