FlowBridge Orchestrator
Call n8n workflows from chat to execute business logic, fetch data, and deliver action-ready answers fast
Trusted by
Built on OpenAI assistants + n8n callable workflows; uses role-based flows, webhooks, and auditable outputs already proven in enterprise operations
Success Story
Vodafone’s AI assistant TOBi handles over 1 million conversations per day across 15+ markets, reducing live-agent load and improving response times
Integrates with
Problem
Knowledge and actions are locked inside point tools. Staff hop between dashboards, run manual checks, and copy results back to chat, slowing response times and creating errors
Solution
FlowBridge lets users ask in chat and execute the right n8n workflow instantly. It calls sub-workflows as tools, passes parameters, and returns structured results or next steps—centralizing knowledge, automating handoffs, and standardizing responses
Result
Faster resolution times, fewer manual steps, consistent outputs, and clear audit trails as conversations trigger reliable, reusable workflows
Use Cases
FlowBridge Orchestrator extends an OpenAI assistant with callable n8n workflows, turning conversations into actions. From a single chat, users can invoke prebuilt business flows—query internal datasets, enrich records, generate summaries, or perform checks—and receive structured outputs back in the thread. The main interaction block handles memory and tool calls; each callable sub-workflow encapsulates business logic (e.g., validation, lookups, scoring). Teams reduce swivel-chair work, standardize processes, and shorten cycle times by letting the assistant orchestrate tasks they previously performed across multiple apps. FlowBridge is ideal for ops, support, HR, and analytics teams that already use n8n to connect services and now want a conversational front-end that executes those flows reliably
Integrations
Connect to your existing tools seamlessly
Technology Stack
Automation
Infrastructure
Implementation Timeline
Task Identification
0.5–1 dayanalyze frequent chat-based requests and select 3–5 that can be automated through n8n
Workflow Wrapping
1–2 daysconvert chosen n8n workflows into callable tools; define input/output fields and test for consistency
Chat Flow Configuration
1 dayconnect OpenAI Assistant, set memory window, and register all callable workflows in the main logic
Validation & Guardrails
0.5–1 daydefine success criteria, validation rules, and fallback responses to handle failures safely
Pilot Phase
1–2 daysrun with a small team, collect user examples, and refine prompts and tool outputs based on real interactions
Full Rollout
1–3 daysdeploy organization-wide, enable log monitoring, and iteratively add new workflows for continuous improvement
Support Included
Quick-start guide, prompt templates, input/output contracts for tools, example callable workflow, and office-hours Q&A
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FlowBridge Orchestrator
Vodafone’s AI assistant TOBi handles over 1 million conversations per day across 15+ markets, reducing live-agent load and improving response times
Call n8n workflows from chat to execute business logic, fetch data, and deliver action-ready answers fast