ChatDash

ChatDash is infrastructure for a very specific business model: agencies and service providers who want to sell AI voice agents as their own branded product without building the unglamorous plumbing of delivery, client management, and billing themselves. It doesn't build the voice agents. It integrates the ones you already use from Retell, Vapi, or ElevenLabs and wraps them in everything you need to turn them into a sellable, billable service. Think of it as the operations and monetization layer that sits on top of the voice AI, the part that's tedious to build and easy to underestimate. The platform splits cleanly into three jobs, and the structure is genuinely useful for understanding what you're buying. Automate is a visual workflow builder that wires your voice agents to your other apps, with unlimited workflow transactions and agent event triggers that fire instantly on things like a call ending, without you stitching together webhooks. The unlimited-transactions piece is a pointed shot at Zapier and Make, whose per-task pricing eats agency margins, and ChatDash positions itself as replacing those to protect what you keep. Deliver is the white-label client command center, a branded analytics dashboard and configurable service tiers your clients log into, so the whole experience looks like your product rather than a reseller's. You control feature access per client, enabling or disabling builder capabilities to create upsell tiers. Monetize is the billing engine, running usage-based charging through Stripe with support for subscriptions, overage charges, pure pay-as-you-go, one-time setup fees, and, notably, performance-based billing where you charge for outcomes like booked appointments or qualified leads rather than just minutes. That last capability is the most interesting thing here. Most billing tools can charge per call or per minute. Charging for a booked appointment or a qualified lead aligns your pricing with the value your agents actually deliver to clients, which is a stronger commercial position than billing for raw usage. Combined with the white-label portal and the automation layer, it consolidates what would otherwise be a spreadsheet, a Stripe integration you built yourself, a Zapier account, and a hand-rolled client dashboard into one place. The target buyers are exactly who you'd expect: agencies packaging voice AI for end clients, BPOs and call centers, VoIP providers adding billable AI services, and managed service providers bundling voice automation into their offerings. ChatDash says 600-plus agencies currently use it. It integrates with HubSpot, Google Calendar, Gmail, Stripe, Twilio, and GoHighLevel, and it ships with a help center, API docs, and a public roadmap, which are good signs of active development. The weaknesses are real and worth weighing. Plan pricing isn't published. There's a 7-day free trial, but to see actual tiers you have to start it or contact the company. The main site lists no named founders and no clear contact email, which is a transparency gap for a platform you'd be running your client billing through. It's a newer, narrowly focused tool, so public reviews and an independent track record are still thin, and you're trusting your revenue plumbing to a young company. And the focus cuts both ways: ChatDash is built for resellers, not for end businesses, so if you just want voice agents for your own company rather than to sell them to clients, this isn't aimed at you at all. Where it sits in the category: ChatDash isn't competing with the voice-agent builders it sits on top of, it's competing with the do-it-yourself stack and with general agency-ops or white-label SaaS billing tools. Its edge is being purpose-built for the voice-AI reseller specifically, with the automation, branded delivery, and outcome-based billing all designed around that one workflow. For an agency that has found product-market fit selling voice agents and is tired of duct-taping the back office together, it's a focused, well-conceived answer. For anyone earlier in that journey, or any business that just wants to use voice agents internally, it's the wrong layer of the stack.