Ada

What is Ada?

Ada is an enterprise platform for AI customer-service agents that resolve inquiries across messaging, voice, and email from a single configuration. The company, based in Toronto and founded in 2016 by Mike Murchison and David Hariri, is older than most of its current rivals and began life building declarative, decision-tree chatbots before rebuilding the product around generative reasoning agents. Ada now frames the whole offering as ACX — an “AI customer experience operating model” split into three parts: the ACX Platform itself, an ACX Practice that supplies deployment methodology, and ACX Experts who work alongside customer teams. Playbooks, a more recent addition, targets the harder problem of automating multi-step standard operating procedures such as returns, claims, or booking changes, and ships with vertical-specific templates.

The commercial model centres on one unit: the automated resolution, meaning an inquiry the agent closes without human handoff. Ada’s pricing page described a single all-inclusive package with usage-based billing attached to that metric, and stated that every capability needed to maximise automated resolutions is included rather than split across tiers — a notable contrast with vendors that gate voice or analytics behind upgrades. There are no public numbers. A raw scan of 93KB of the archived pricing page and 143KB of the current homepage turned up exactly one dollar figure between them, and it was a customer case-study savings claim, not a price. During 2026 Ada went further and removed the pricing page entirely, redirecting it to a demo request, so the product is less price-transparent now than it was a year earlier. Ada reports roughly 350 business customers including Pinterest, Monday.com, Malaysia Airlines, Grab, and Barnes & Noble, and publishes resolution figures such as an 84% automated resolution rate on chat for one retailer — these are vendor case-study claims rather than independently measured results.

Who is it for?

Ada suits large support organisations with enough interaction volume to justify a sales-led annual contract and enough process complexity to need agents that take real actions rather than answer FAQs. Because there is no free tier, no self-serve signup, and no published price of any kind, it is the wrong choice for individuals, startups, or anyone who wants to measure resolution rate before committing budget — Fin is the obvious contrast there, since it publishes a per-resolution price and runs a no-card trial. Against Sierra and Decagon, which are also contact-sales, Ada’s distinguishing traits are its longer operating history, its single all-inclusive package, and the advisory services bundled around the software rather than any unique technical capability.

• Enterprise CX and support leaders at high-volume consumer brands who want tier-1 deflection across messaging, voice, and email from one agent definition.
• Global operators serving many markets who need translation across 50+ languages without staffing native-speaking agents in each one.
• Teams replacing a legacy decision-tree chatbot who want reasoning-based resolution while keeping their existing helpdesk and business-system integrations.
• Organisations that want a delivery partner, not a toolkit — the ACX Practice and Experts layers exist for companies that would rather buy methodology and hands-on help than staff an internal agent-ops team.
• Ops groups automating complex procedures such as returns, insurance claims, or itinerary changes, where Playbooks matters more than plain question answering.