Voiceflow

Voiceflow combines design and development capabilities:

Visual canvas: Design conversations visually with a drag-and-drop interface. Teams can see and understand flows without reading code.

Collaboration features: Multiple team members can work on projects together with commenting, versioning, and handoff tools.

Knowledge base: Upload documents and content for AI to reference when answering questions.

API integration: Connect to external systems through API steps and custom functions.

Multi-channel deployment: Deploy to web, mobile, and various messaging platforms.

AI capabilities: Integration with large language models for natural language generation and understanding.

Voiceflow suits organisations that:

Want designers and developers collaborating effectively. You need shared ownership of the conversational experience.

Need visual tooling stakeholders can understand. Clear communication matters as much as technical capability.

Value rapid prototyping and iteration. You want to test assumptions early and adjust quickly.

Want AI-native features without building from scratch. You want a practical platform, not a pile of components.

Prefer a managed platform. You want to focus on the experience rather than running infrastructure.

The visual approach makes Voiceflow particularly good for teams new to conversational AI or those where communication between roles matters.

We use Voiceflow for:

Customer service bots: Building support chatbots that handle common enquiries and escalate appropriately.

Product assistants: Helping customers find products, understand features, and make decisions.

Knowledge assistants: Making internal or external knowledge accessible through conversation.

Prototyping: Quickly testing conversation concepts before committing to full development.

Voiceflow supports an effective workflow:

Discovery: Mapping user needs and conversation requirements.

Design: Creating conversation flows visually on the canvas.

Review: Stakeholders can see and comment on designs directly.

Build: Adding integration, logic, and AI capabilities.

Test: Running through scenarios in the simulator.

Deploy: Pushing to live channels with version control.

Iterate: Analysing usage and improving based on real conversations.

Voiceflow's knowledge features help create informed assistants:

Knowledge base: Upload documents, FAQs, and content. The AI references this material when answering questions.

Intent recognition: Understand what users want and route to appropriate responses.

Natural language generation: Use AI to produce contextual, varied responses.

Fallback handling: Manage cases where the bot does not understand gracefully.

Voiceflow connects to external systems:

API blocks: Make HTTP requests to external services.

Custom functions: Execute JavaScript for complex logic.

Webhooks: Receive data from external systems.

Native integrations: Connect to popular platforms and tools.

We build integrations that connect Voiceflow bots to your business systems.

We help organisations with Voiceflow:

Design: Creating conversation experiences that work for users and business.

Development: Building complete solutions with integration and AI.

Training: Helping your team use Voiceflow effectively.

Migration: Moving from other platforms to Voiceflow or vice versa.

Use these prompts to define scope and keep the build grounded in real user journeys.

“What are the top user intents we need to support, and what does ‘success’ look like for each?”

“Which knowledge sources should the assistant use, and what is the system of record for each?”

“Which integrations would make the assistant genuinely useful, and what data access controls are required?”