Ada is built to deflect support tickets at enterprise scale. This stack converts shoppers before they need support, then resolves everything else automatically, in 14 days, at a price you can actually see before signing.
Enterprise AI customer service platform built for airlines, banks, insurance companies, and SaaS. Automates support workflows via customizable Playbooks across chat, email, voice, and social. No native Shopify app, no free trial, no public pricing. Implementation takes weeks to months and requires dedicated internal resources.
Built for
EcommerceAda deflects support tickets at enterprise scale. This stack converts shoppers before a ticket is ever created, then resolves what follows — on Shopify, in 14 days, at a price you can see before the first call. Different problem. Different buyer. Worth knowing which one you actually have.
| Capability | Ada | Manifest AI + BIK Helpdesk | Why it matters |
|---|---|---|---|
| Shopify native app | No. API integration plus a separate order tracking app. Not on the Shopify App Store. ❌ | Native app with real-time catalog and order sync. | No middleware, no sync delays, no custom dev required. |
| Time to go-live | Weeks to months. Dedicated implementation team required. ❌ | 14 days with a named success manager from day one. | Every week in setup is a week your store is not converting or resolving. |
| Pricing | No public pricing. Reported $30,000/year starting cost. Consumption model grows with usage. ❌ | Feature-based, transparent, predictable. | A consumption model means your bill rises as the AI gets more successful. |
| Free trial | No. Requires a demo and sales process before access. ❌ | 30 days, no questions asked. | Test on your real store before signing anything. |
| Proactive storefront nudges | No. Ada responds to inbound queries only. ❌ | 8 triggers across the full funnel. Homepage, collection, PDP, cart, checkout, post-checkout, search, and browsing history. | Ada waits. Manifest reaches. Most revenue is lost to shoppers who never asked a question. |
| AI on product pages | ❌ | Embeds for sizing, reviews, FAQs, and ingredient info directly on the page. | A chat bubble waits to be clicked. An embed is already there when the shopper is deciding. |
| Pre-built workflows | Playbooks require you to write and train SOPs before the AI can execute. | 100+ pre-built automations ready on day one. Returns, cancellations, exchanges, order modifications. | Ada makes you build the logic. BIK already has it for ecommerce. |
| In-chat checkout and revenue attribution | ❌ | Agents generate checkout links and track revenue per agent interaction, with team and individual breakdowns. | Support conversations are sales moments. Most platforms never build for this. |
| Mobile agent app | No dedicated mobile app for support agents. ❌ | BIK Agent App on iOS and Android. | Support teams do not only work at desks. |
| Platform depth | Limited. Enterprise API integration required for non-Shopify stores. | Shopify, WooCommerce, BigCommerce, Magento, and custom sites. | Multi-store brands or those planning to migrate do not lose their AI investment. |
Most AI platforms treat customer conversations as a cost to eliminate. BIK Helpdesk turns them into revenue moments. Agents get AI product recommendations and can generate checkout links in the same window where they are handling a return.
A $30,000 starting price does not include months of implementation, developer time, and SOP training. A platform that takes three months to go live and requires a dedicated team to run costs more than its invoice says.
Ada connects to Shopify via API, which means a separate integration layer and additional configuration. Manifest is a native Shopify app, and BIK pulls order and product data directly into the agent side panel by default.
Ada's enterprise features are built for the industries they were designed for. DTC brands pay for that infrastructure without using it, and miss the commerce-specific features that drive revenue.
A US-based apparel founder came in having already received an Ada proposal. After seeing both, the deciding factor was not support automation. "With Ada, my team resolves tickets. With yours, they close orders at the same time." They went annual the same week.
Based on a real customer evaluation