🚀 Introduction

Business automation is evolving quickly.

A few years ago, automating customer support usually meant configuring a chatbot with buttons, predefined answers, and a few simple workflows.

In 2026, companies are increasingly looking for something more advanced: AI agents that can understand customers, collaborate with other agents, execute actions, and transfer conversations when needed.

Two platforms that approach this challenge in different ways are Flowti and Respond.io.

Both platforms support conversational automation, artificial intelligence, and multiple channels. However, their current strengths are not identical.

Respond.io stands out for its broad omnichannel infrastructure, with support for many messaging channels, routing, workflows, team collaboration, and AI Agents.

Flowti is also an omnichannel platform. Today, it focuses primarily on WhatsApp and Web Chat, while adding a particularly interesting architecture: businesses can create hierarchical teams of specialized AI agents that can transfer conversations between one another and use connected tools to perform business actions.

For example, a company can create a coordinator agent that handles the initial conversation and decides whether the customer should be transferred to sales, support, billing, reservations, or another department. Those agents can also have specialized subagents of their own.

In this comparison, we’ll explore how Flowti and Respond.io differ, where each platform is strongest, and which one may be better suited to different business needs.

🤔 What Is Respond.io?

Respond.io is an omnichannel customer conversation management platform.

It allows businesses to centralize conversations from multiple communication channels into a single workspace while combining human support, workflows, and AI Agents.

Its ecosystem includes channels such as:

📱 WhatsApp.

📸 Instagram.

📘 Facebook Messenger.

✈️ Telegram.

💬 Website Chat.

📲 LINE.

📞 Voice and other supported messaging channels.

Respond.io also provides capabilities such as:

✅ Omnichannel inbox.

✅ AI Agents.

✅ Conversation routing and assignment.

✅ Workflows.

✅ Lead qualification.

✅ Human handoff.

✅ CRM integrations.

✅ Contact management.

✅ Sales and support automation.

Respond.io is particularly attractive for businesses that need to centralize many channels and operate complex conversational workflows from one platform.

🤖 What Is Flowti?

Flowti is an omnichannel automation platform powered by artificial intelligence agents.

Its currently available channels are mainly:

📱 WhatsApp, which remains its primary channel.

💬 Web Chat, which can be embedded into a website using a script generated by Flowti.

But Flowti is not limited to connecting a single AI agent to a communication channel.

Businesses can build structures of specialized AI agents, where each agent can have:

• Its own instructions.
• Specific responsibilities.
• Connected tools.
• Available business information.
• Behavioral rules.
• Subagents.
• Conditions for transferring conversations.

This makes it possible to model business departments and operational processes with specialized agents.

🧠 AI Agent Teams in Flowti

A company does not necessarily need one general-purpose agent to handle every possible customer request.

Instead, it can create several specialized agents.

For example:

Coordinator Agent

→ Sales

→ Support

→ Billing

→ Reservations

Each agent can be responsible for a specific area.

The structure can also have multiple levels.

For example:

Coordinator Agent

→ Sales

→ B2B Sales

→ B2C Sales

→ Support

→ Technical Support

→ Billing

→ Complaints

→ Operations

→ Orders

→ Reservations

This allows businesses to represent part of their real organizational structure through AI agents.

🔄 Transfers Between AI Agents

One of Flowti’s most important capabilities is agent-to-agent transfer.

When an agent identifies that another specialized agent is better suited to handle a request, it can transfer the conversation.

For example:

👤 Customer

I want to buy a vehicle, but I need financing.

The conversation could work like this:

1️⃣ The Coordinator Agent detects purchase intent.

2️⃣ It transfers the conversation to the Sales Agent.

3️⃣ The Sales Agent identifies that financing is required.

4️⃣ The conversation is transferred to the Financing Agent.

5️⃣ If the case requires negotiation or special approval, the conversation can then move to a human advisor.

The flow becomes:

Customer → Coordinator → Sales → Financing → Human

This reduces the need for a single agent to manage every possible process.

🏢 Agents for Departments and Subdepartments

Flowti’s multi-agent architecture makes it possible to structure automation by department.

For example:

Sales Department

Agents could specialize in:

• New customers.
• Enterprise sales.
• Financing.
• Renewals.

Support Department

Agents could specialize in:

• Technical support.
• Configuration.
• Billing.
• Complaints.

Operations

Agents could handle:

• Reservations.
• Orders.
• Logistics.
• Follow-up.

Each agent can have different tools, instructions, and responsibilities.

This can help reduce overly broad prompts and give each agent a clearer operational role.

📊 Flowti vs Respond.io: General Comparison

🎯 Main Difference: Channel Breadth vs Multi-Agent Orchestration

The biggest difference between the two platforms is where they currently concentrate their value.

🌐 Respond.io: Broader Omnichannel Coverage

Respond.io supports a much wider variety of communication channels.

This matters for companies receiving customer conversations from multiple touchpoints such as:

📱 WhatsApp.

📸 Instagram.

📘 Messenger.

✈️ Telegram.

💬 Website Chat.

📞 Voice.

📲 Other supported communication platforms.

Respond.io can centralize those conversations, use AI Agents, and distribute interactions through workflows and routing.

🧠 Flowti: Hierarchical AI Agent Orchestration

Flowti currently has fewer communication channels, but places strong emphasis on how AI agents are structured and how they collaborate.

An agent can act as a coordinator and decide which specialized agent should continue the conversation.

That second agent can then work with its own subagents.

For example:

Coordinator

→ Sales

→ Financing

→ Enterprise Sales

→ Support

→ Technical Support

→ Billing

→ Reservations

This architecture allows businesses to build virtual AI teams rather than relying on a single general-purpose assistant.

🤖 AI → AI → AI → Human

A transfer does not have to happen only from an AI system to a human.

It can follow a chain of specialization.

For example:

Initial Agent

→ Specialized Agent

→ Subagent

→ Human

Human intervention can then be reserved for cases where it adds the most value.

This is especially useful for:

🎯 Lead qualification.

💰 Negotiations.

🛠️ Specialized support.

📋 Administrative processes.

📅 Reservations.

🛍️ Sales.

💬 Omnichannel Capabilities in Flowti

Flowti currently works mainly through two communication channels.

📱 WhatsApp

WhatsApp remains the primary channel and can be used for sales, support, bookings, orders, lead qualification, and other business processes.

💻 Web Chat

Businesses can create a Web Chat channel, connect it to their agents, and receive a script that can be embedded into a website.

The experience can follow a flow such as:

Website → Web Chat → Coordinator Agent → Specialized Agent

This means the same multi-agent logic can also be used with visitors interacting directly on a company website.

🧠 Artificial Intelligence in Respond.io

Respond.io also offers advanced AI Agent capabilities.

Its AI Agents can participate in tasks such as:

✅ Answering questions.

✅ Qualifying prospects.

✅ Collecting information.

✅ Updating customer data.

✅ Triggering workflows.

✅ Routing conversations.

✅ Transferring conversations to other agents or teams.

✅ Handing conversations off to humans.

Respond.io can also preserve relevant context during handoff, reducing the need for customers to repeat their situation.

🔄 Multi-Agent Workflows in Respond.io

Respond.io can also work with multiple agents and conversational routing.

Its AI Agents can assign conversations to other agents or teams and continue workflows based on business logic.

So the comparison should not be framed as:

Flowti supports multiple agents and Respond.io does not.

A more accurate comparison is:

Both platforms can use multiple AI agents and routing, but Flowti makes hierarchical agent and subagent organization a central part of its automation model.

🏠 Example: Real Estate Company With Multiple Departments

Imagine a real estate company receives a new inquiry.

👤 Customer

I’m looking for an apartment to invest in Bogotá.

The process can begin with a coordinator agent.

It identifies that the customer is a buyer and transfers the conversation to Sales.

The Sales Agent can then collect:

🏠 Property type.

📍 Preferred area.

💰 Budget.

🛏️ Number of bedrooms.

💳 Payment method.

📅 Expected purchase date.

If financing is required:

→ transfer to the Financing Agent.

If a suitable property is found:

→ involve the Property Visits Agent.

Finally:

→ a human advisor can receive the lead once there is a strong sales opportunity.

🍽️ Example: Restaurant Orders and Kitchen Tickets

Flowti also includes automation designed specifically for restaurants.

When a business registers as a restaurant, it can use an order and kitchen-ticket module.

An AI agent can be connected to a specific branch.

The process can work like this:

1️⃣ The customer sends a WhatsApp message.

2️⃣ The AI agent takes the order.

3️⃣ It validates products and preferences.

4️⃣ It creates the order.

5️⃣ The kitchen ticket arrives in real time at the corresponding branch.

A more complex restaurant could also use multiple specialized agents:

Coordinator

→ Orders

→ Reservations

→ Customer Service

→ Payments

The Orders Agent can then connect to branch-specific operational processes.

🦷 Example: Clinic With Specialized Departments

A clinic could structure agents like this:

Virtual Reception

→ Appointments

→ Billing

→ Treatment Information

→ Human Assistance

The conversation can begin through WhatsApp or the Web Chat installed on the clinic’s website.

The patient does not need to understand the internal structure.

The initial agent identifies the request and transfers the conversation to the appropriate specialized agent.

🛍️ Ecommerce Example

An ecommerce business can divide responsibilities across agents:

Coordinator Agent

→ Products

→ Orders

→ Payments

→ Returns

→ Support

Each agent can use different tools.

The Products Agent may connect to Shopify.

The Payments Agent may work with Stripe or Wompi.

The Support Agent can reference documents, policies, or business information.

🔌 Business Tools in Flowti

Flowti agents can connect with different business systems depending on their role.

Examples include:

🛒 Shopify.

📊 Loyverse.

📅 Google Calendar.

☁️ Google Drive.

💳 Stripe.

💰 Wompi.

The real value appears when each agent only uses the tools required for its responsibility.

For example:

Reservations Agent

→ Google Calendar.

Ecommerce Agent

→ Shopify.

Payments Agent

→ Stripe or Wompi.

This can help keep each agent focused and contextually relevant.

🎯 Lead Qualification

A multi-agent architecture can also be used for sales qualification.

The Coordinator Agent can identify commercial intent and transfer the customer to a Sales Agent.

Sales can collect:

💰 Budget.

📍 Location.

📅 Expected purchase date.

🛍️ Product of interest.

💳 Payment method.

The system can then decide whether the lead needs:

→ another specialized AI agent;

→ automated follow-up;

→ or human intervention.

🤝 Human Handoff

AI agents should not become a barrier between the customer and a real person.

Flowti can escalate conversations when the process requires human attention.

Respond.io also provides human handoff capabilities and tools for mixed AI + human operations.

In both platforms, automation works best when there is a clear strategy defining:

• What AI can resolve.
• What should be transferred to another AI agent.
• What requires human assistance.

👥 What About Departments?

Both platforms can support organizations with multiple teams and departments.

Respond.io addresses this through:

• Workspaces.
• Routing.
• Assignment.
• Workflows.
• Teams.
• AI Agents.

Flowti can model these operations through:

• Coordinator agents.
• Specialized agents.
• Subagents.
• Agent-to-agent transfers.
• Agent-specific tools.
• Human support.

So it would be inaccurate to think of Flowti as a platform designed for only one AI agent.

Its architecture can be used to distribute AI-powered work across different business areas.

⚡ Ease of Implementation

The level of complexity depends on the business case.

Respond.io can be especially attractive when a company needs to connect many channels and build workflows around an existing customer operations team.

Flowti can provide a particularly direct experience when the goal is to design a structure of AI agents.

A setup might look like:

1️⃣ Create a coordinator agent.

2️⃣ Create specialized agents.

3️⃣ Define transfers.

4️⃣ Configure tools.

5️⃣ Connect WhatsApp or Web Chat.

6️⃣ Test different scenarios.

7️⃣ Activate the automation.

As the number of agents grows, roles and responsibilities should be clearly defined to avoid overlap.

🎁 Flowti Free Plan

Flowti offers a free plan with access to an AI model provided by the platform.

This makes it possible to:

✅ Create agents.

✅ Define instructions.

✅ Test conversations.

✅ Validate automations.

✅ Experiment with the platform.

Advanced capabilities and integrations depend on the selected plan.

💰 Flowti vs Respond.io: What Should You Compare?

Do not compare only the monthly subscription fee.

Consider the full operational cost:

💬 Channel fees.

🧠 AI usage.

👥 Users.

🤖 Number of agents.

🔌 Integrations.

🌐 Required channels.

⚙️ Automations.

📊 Conversation volume.

📈 Future growth.

A business using ten communication channels has very different requirements from one where 90% of conversations happen through WhatsApp and its website.

✅ When Should You Choose Respond.io?

Respond.io may be especially suitable when:

✅ You need a broad range of channels.

✅ WhatsApp, Instagram, Messenger, Telegram, and other channels are important.

✅ You manage high conversation volumes.

✅ You need advanced routing.

✅ You have a mature omnichannel operation.

✅ You want to combine AI Agents with workflows and teams.

🚀 When Should You Choose Flowti?

Flowti may be especially interesting when:

✅ WhatsApp is one of your primary channels.

✅ You also want AI agents available directly on your website.

✅ You need multiple specialized AI agents.

✅ You want to model departments and subdepartments with agents.

✅ You need AI-to-AI transfers.

✅ You want each agent to use different business tools.

✅ You need AI agents to execute operational processes.

✅ You want to combine AI with human assistance.

✅ You want to start with a free plan.

❓ Frequently Asked Questions

Does Flowti support multiple AI agents?

Yes.

Businesses can create multiple specialized agents and configure transfers between them.

Does Flowti support agents and subagents?

Yes.

An agent can have specialized subordinate agents, allowing businesses to build hierarchical structures around departments or processes.

Can Flowti transfer a conversation between AI agents?

Yes.

A conversation can move from a coordinator agent to a specialized agent, then to another subagent or a human.

Does Respond.io support multiple AI Agents?

Yes.

Respond.io supports AI Agents and routing capabilities that can assign conversations between different agents and teams.

Which platform currently supports more channels?

Respond.io.

Flowti currently focuses mainly on WhatsApp and Web Chat, while Respond.io supports a broader range of communication channels.

Is Flowti omnichannel?

Yes.

Flowti currently supports WhatsApp and Web Chat as its active channels.

Which platform is better for companies with multiple departments?

Both can support this scenario.

Respond.io provides mature tools for teams, workflows, routing, and omnichannel operations.

Flowti allows companies to model departments through coordinator agents, specialized agents, subagents, and agent-to-agent transfers.

✅ Conclusion

Flowti and Respond.io represent two advanced approaches to conversational automation.

Respond.io stands out for its broad omnichannel infrastructure, mature workflow ecosystem, routing, and conversation management at scale. It currently supports a significantly wider range of communication channels.

Flowti currently focuses primarily on WhatsApp and Web Chat, but introduces a strong architecture based on hierarchical teams of AI agents.

A company can create:

🤖 Coordinator agents.

🤖 Sales agents.

🤖 Support agents.

🤖 Payment agents.

🤖 Reservation agents.

🤖 Specialized subagents.

And allow conversations to move between them depending on the customer’s needs.

For that reason, the comparison should not be reduced to:

Respond.io for complex organizations and Flowti for simple automations.

The real decision depends on two questions:

How many channels does your business actually need?

and:

How complex should the AI agent structure and business workflows be?

If you need broad omnichannel coverage and mature routing across many communication channels, Respond.io can be an excellent choice.

If your primary channels are WhatsApp and Web Chat and you want to build teams of specialized AI agents that collaborate, transfer conversations, and execute business actions, Flowti offers a compelling alternative.