Byteflow
AI-native orchestration platform for workflow automation, AI agents, no-code, API & non-API systems, browser automation, enterprise integrations.
About
ByteFlow is an AI-native orchestration and automation platform built to connect systems, automate workflows, and deploy AI agents into real-world operations with or without APIs. Designed as a horizontal AI orchestration layer, ByteFlow works seamlessly across CRMs, HRMS, ERPs, POS systems, government portals, telephony platforms, and even legacy applications. It enables enterprises, SaaS teams, and developers to move beyond isolated automations and build intelligent, end-to-end processes. What makes ByteFlow different: Agentic AI modules like VoiceFlow, DocumentFlow, BrowserFlow, and ContentFlow to handle real tasks autonomously API ↔️ MCP converter that allows AI agents to communicate directly with systems General Process Automation (GPA) engine for automating platforms that don’t expose APIs With ByteFlow, teams can unify automation and AI under one platform turning fragmented systems into connected, intelligent operations that scale. - Key Product Capabilities AI-native orchestration API + no-API automation Agent-to-system control (MCP) Voice, document, browser, content automation Open-source flow engine Enterprise-grade security & observability Multilingual & India-optimized Fast POC-to-production velocity . Why ByteFlow Exists (Problem Statement) Modern enterprises face five structural problems: Fragmented systems CRMs, HRMS, ERPs, portals, and vendor tools don’t interoperate. Slow, expensive integrations API-led transformations take months, cost crores, and often fail or become obsolete. Legacy & no-API systems Many mission-critical systems have no APIs and cannot be replaced easily. AI adoption barriers Security, compliance, orchestration, and integration complexity slow AI rollout. Developer & IT bottlenecks Teams need faster ways to deliver AI-enabled features without rebuilding systems. ByteFlow solves this by: Connecting API and non-API systems Embedding AI agents directly into workflows Reducing time-to-value from months to days
Key Features
Visual Flow Builder
Drag-and-drop, no-code interface to design, connect and configure multi-agent workflows with sandboxed simulation, real-time debugging and instant iteration.
Agentic Modules (Voice, Document, Browser, Content)
Pre-built agent modules — VoiceFlow, DocumentFlow, BrowserFlow and ContentFlow — that autonomously handle voice calls, document understanding, resilient browser automation and conversational content tasks.
API ↔ MCP Converter
Bridge that enables AI agents to communicate with systems regardless of native APIs by converting between standard APIs and platform control protocols (MCP), unlocking integrations with legacy and proprietary systems.
General Process Automation (GPA) Engine
Engine for automating systems that don’t expose APIs using self-healing browser automation, UI-scripting and orchestration patterns to ensure robust executions across changing interfaces.
Enterprise-grade Security & Observability
Audit logs, monitoring, role-based access and observability for agent activity and integrations, plus multilingual support and rapid POC-to-production capabilities for enterprise deployments.
How to Use Byteflow
Step 1: Sign Up & Access the Dashboard Create an account and log in to the ByteFlow dashboard to start building AI-powered workflows. Step 2: Create a New Workflow Use the no-code Flow Builder to design an end-to-end workflow visually. Step 3: Connect Systems Choose from 600+ connectors or use the API ↔ MCP converter to connect APIs, databases, or tools. For systems without APIs, use the GPA (General Process Automation) engine. Step 4: Add AI Agents Attach built-in agentic modules like VoiceFlow, DocumentFlow, BrowserFlow, or ContentFlow to perform tasks autonomously. Step 5: Configure Logic & Triggers Define triggers, conditions, and actions to control how the workflow runs across systems. Step 6: Test & Deploy Test the workflow, then deploy it to production (cloud, on-prem, or hybrid). Step 7: Monitor & Scale Monitor executions, optimize performance, and scale workflows as usage grows.
Use Cases
Frequently Asked Questions
Q: What problem does ByteFlow solve?
A: ByteFlow helps teams connect disconnected systems, automate workflows, and deploy AI agents even for tools that don’t provide APIs.
Q: Do I need coding skills to use ByteFlow?
A: No. ByteFlow is a no-code platform with a visual flow builder, making it accessible for non-technical users and developers alike.
Q: Can ByteFlow work with tools that don’t have APIs?
A: Yes. ByteFlow includes a General Process Automation (GPA) engine that automates legacy systems, portals, and apps without APIs.