Interloom

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.

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.

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?

1. 1

   Describe: Explain your business procedures and agent tasks in natural language.

2. 2

   Build: Interloom reads your descriptions and constructs the described workflows and agents.

3. 3

   Integrate: Connect Interloom to your existing software stack for data synchronization.

4. 4

   Deploy: Launch production workflows with forward-deployed Interloom engineers.

5. 5

   Operate: AI agents and field agents autonomously execute tasks, drawing on accumulated context.

6. 6

   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

FAQ from Interloom

• What is Interloom and how does it supercharge operations?

  Interloom is an AI platform that accelerates back-office workflows by learning how your business operates. It empowers subject matter experts to build automations using natural language, without coding, and utilizes AI agents that draw on accumulated business context.

• How does Interloom enable subject matter experts to build automations?

  Interloom allows subject matter experts to design workflows and build automations by simply describing them in natural language, similar to explaining a process to a colleague or briefing a contractor. This eliminates the need for coding.

• What is the 'context graph' in Interloom?

  The context graph is a living record of decisions, outcomes, and the reasoning behind them, enriched by every case your experts resolve. This accumulated knowledge is used by AI agents to perform tasks more effectively.

• How do AI agents work in Interloom?

  AI agents in Interloom handle tasks like extraction, triage, and follow-ups. They operate autonomously, drawing on the context graph built by human experts, ensuring actions are grounded in your specific business knowledge.

• What types of back-office workflows can Interloom accelerate?

  Interloom is built for various back-office functions including Facilities Operations, Insurance, Banking, Logistics, Energy, and ITSM, accelerating processes like claims processing, invoice handling, and service requests.

• Can Interloom integrate with my existing tools?

  Yes, Interloom integrates with popular tools such as SharePoint, Salesforce, SAP, Microsoft Teams, Confluence, Google Workspace, ServiceNow, Jira Service Management, and Slack, reading, writing, and syncing data across your stack.

• What are 'Field Agents' in Interloom?

  Field Agents are workers within Interloom that have their own scope and credentials. They run autonomously, learn from past work, and can escalate issues that fall outside their defined remit.

• How are procedures defined in Interloom?

  Procedures in Interloom are defined as a sequence of stages that dictate how a class of case is handled. Any stage can be assigned to a person, an autonomous agent, or a deterministic script.

• What is the benefit of knowledge accumulating instead of disappearing?

  By accumulating knowledge in a context graph, Interloom ensures that insights and decisions from past cases are retained and leveraged for future operations, leading to continuous improvement and more intelligent automation.

• How does Interloom ensure automations are grounded in live systems?

  Interloom achieves this by reading, writing, and syncing data across your existing technology stack. This ensures that workflows are always based on current information and integrated with your operational systems.