Helply vs Voiceflow

Helply and Voiceflow both harness AI to transform customer experience, but they approach the problem from fundamentally different angles. Helply is a purpose-built B2B support platform that gives software companies a free helpdesk and charges only when AI delivers measurable outcomes, while Voiceflow is a no-code agent-building platform that lets teams design, deploy, and iterate on AI agents across chat, voice, and email without writing code. The key differentiator is build versus buy: Helply is an out-of-the-box support solution with deep CRM and billing integrations, whereas Voiceflow is a flexible development environment for teams that want full control over their agent logic. CX leaders comparing these tools are usually deciding between a turnkey AI support suite and a highly customizable agent-building platform.

Why Helply?

Helply's outcome-based pricing model is a genuine industry differentiator, meaning companies only pay around $0.25 per AI-assisted draft or resolved interaction rather than a flat per-seat fee, dramatically lowering the cost of AI adoption for growing B2B teams. The platform pulls full account context from Salesforce, HubSpot, Stripe, and Gong into every support conversation, enabling agents to see MRR, open deals, and product usage data without switching tabs. Helply also includes revenue intelligence features like churn detection and upsell identification, effectively turning the support team into a revenue-aware function rather than a pure cost center. Built on the foundation of Groove, a well-regarded SMB helpdesk with years of product iteration, Helply brings operational maturity to its AI-native feature set.

Why Voiceflow?

Voiceflow is one of the most widely adopted AI agent design platforms available, with a reported user base of over 250,000 teams including enterprises like TELUS, Instacart, and JP Morgan using it to prototype and deploy production agents at scale. Its visual workflow builder and Agent Operating Procedures framework allow non-technical CX teams to map out complex conversational logic, conditional branching, and escalation paths without engineering dependencies. Voiceflow supports LLM flexibility, meaning teams can swap between OpenAI, Anthropic, Gemini, and other providers without rebuilding their agent architecture, which future-proofs investments against rapid AI model evolution. The platform also offers robust testing, versioning, and production environment controls that make it suitable for enterprise-grade deployments where reliability and auditability matter.

Helply Is Best For

Helply is best suited for B2B SaaS companies with at least $1 million in ARR that want a fully operational AI-powered helpdesk without a lengthy implementation project. It is ideal for support teams of 3 to 50 agents who are currently using or planning to adopt tools like Salesforce, HubSpot, and Stripe, since the platform's value multiplies with richer CRM and billing data. Companies frustrated by per-seat pricing on tools like Zendesk or Intercom will find Helply's free helpdesk with usage-based AI costs particularly compelling. It is especially well-matched for teams where support leaders are being asked to demonstrate revenue impact, given the built-in churn and upsell intelligence features.

Voiceflow Is Best For

Voiceflow is the right choice for product, CX, or innovation teams at mid-market to enterprise companies that want to design and own their AI agent experience end to end rather than rely on a vendor's prebuilt flows. It suits organizations in industries like telecom, financial services, retail, and healthcare where customer interaction workflows are complex, compliance-sensitive, or highly branded. Teams with at least one technically fluent member, such as a conversation designer, CX ops lead, or product manager comfortable with API integrations, will get the most out of the platform. Voiceflow is also a strong fit for agencies and consultancies building AI agent solutions for multiple clients, since the platform supports multi-project management and collaborative design environments.