What You Can Build

Real Solutions Powered by Orbit

Orbit isn't prescriptive about what you build — it's a platform that provides the foundation, patterns, and infrastructure. Here are four categories of real solutions teams have built.

Customer-Facing AI

Deploy Conversational AI That Knows Your Product

The Problem

Your customers need instant, accurate help navigating complex products. Traditional chatbots break with edge cases, search is too generic, and hiring enough support staff is cost-prohibitive. You need AI that understands your domain without months of training.

How Orbit Solves It

RAG-powered agents that ingest product docs, help articles, and schema definitions — no manual training required.
Multi-turn context so customers can ask follow-ups without repeating themselves.
Tool calling for live actions like checking order status, updating subscriptions, or triggering workflows.

Case Study

Fitness membership support: A gym chain deployed a member support agent using Orbit Workspace. The agent pulls live membership data, class schedules, and billing history through custom MCP tools. Members get instant, accurate answers without waiting for staff, reducing support ticket volume by 60%.

Workflow Automation

Turn Multi-Step Operations Into Agent-Driven Workflows

The Problem

Your team juggles manual processes across multiple systems — copy-pasting between tools, waiting on approvals, tracking status in spreadsheets. Automation tools exist, but they're rigid and break when business logic changes. You need intelligence in the workflow itself.

How Orbit Solves It

Workflow orchestration with conditional routing — agents decide which specialist to invoke based on context.
Human-in-the-loop (HITL) approval gates so critical decisions still require sign-off.
Swarms of specialist agents running in parallel for tasks like research aggregation or data validation.

Case Study

Internal procurement workflow at a large enterprise: employees submit requests through a form, an agent classifies the request type (software, hardware, services), routes to the appropriate specialist agent for validation, triggers approval workflow if over budget threshold, and generates purchase orders automatically. Procurement cycle time reduced from 5 days to 4 hours.

Legacy Modernization

Overlay Intelligent Interfaces on Legacy Systems

The Problem

You're locked into legacy software — expensive, slow to change, and user-hostile. A full rewrite is off the table due to cost and risk, but employees are frustrated and productivity is suffering. You need a way to modernize the experience without touching the backend.

How Orbit Solves It

Agents act as intelligent middleware — natural language requests translate into legacy API calls or database queries.
MCP servers bridge legacy systems, exposing old functionality as modern tools agents can invoke.
Gradual migration — new features built with agents coexist with old systems until ready for full replacement.

Case Study

Legacy point-of-sale modernization: A family entertainment center POS provider used Orbit to overlay conversational interfaces on their legacy system. Staff ask agents to "pull today's sales summary" or "check party booking availability," and agents translate those requests into backend API calls. No retraining staff on cryptic UI, no rewriting the backend — just a modern layer on top.

Agent Collaboration

Secure, Multi-Tenant Agent Interoperability

The Problem

Your organization has multiple teams building agents independently. Agents live in silos — no shared context, no discovery, no collaboration. A sales agent can't invoke a finance agent for real-time pricing. Every team rebuilds capabilities others already built.

How Orbit Solves It

Agent-to-Agent (A2A) protocol enables secure cross-team agent communication with authentication and authorization.
Agent registry for discovery — teams publish agents to a marketplace, others can invoke them as external tools.
Tenant isolation ensures data sovereignty — agents collaborate without exposing underlying data across boundaries.

Case Study

Multi-business-unit collaboration: A customer support team and an operations team both run agents on the same Orbit deployment. When the support agent needs real-time inventory data, it delegates to the operations agent as a sub-agent. The operations agent retrieves the data and returns it — no direct database access granted, no credentials shared across teams.

These are starting points, not limits.

Orbit provides the building blocks. Your domain expertise defines what's possible. Every solution above started as a simple agent and grew into production systems.