Resolve vs Ada
Ada is one of the more serious AI automation platforms, and it deserves credit for pushing honest metrics: its LLM-graded Automated Resolution measure (relevant, accurate, safe) is a good idea Resolve adopts. The differences are structural. Ada is an enterprise bot layer that sits on top of your existing helpdesk and is priced per automated resolution, with a build effort to match. Resolve is a complete, flat-priced support platform. Here is a fair comparison.
How Ada works and where teams hit walls
Ada is an AI agent that automates customer conversations across channels and hands off to your existing helpdesk when needed. Its Reasoning Engine and LLM-graded resolution measurement are genuinely thoughtful. The walls are about scope, cost model, and effort.
It is a bot layer, not your whole desk. Ada automates and deflects, then hands off. You still need a helpdesk behind it for the tickets a human works. That means two systems, two bills, and a handoff seam.
Per-automated-resolution pricing. Ada popularized measuring Automated Resolution honestly, but it also prices around it, so the same structural dynamic applies: more automated resolution can mean a larger bill.
Enterprise build and sales motion. Ada is enterprise-oriented, typically sold through a sales process, and getting strong automation live is a build project with configuration and content work, not a minutes-to-live experience.
How Resolve is different
Resolve starts from a different premise: the AI is the product, not a widget bolted onto a ticketing system. Every ticket runs a resolution engine on arrival. It is categorized, matched to the customer's full history, grounded in your knowledge base, and scored against a confidence threshold you control. When the answer is confident and low risk, Resolve resolves it with zero human involvement. Everything else comes to you as a clean decision card.
The design intent is 80 to 90 percent of tickets auto-resolved, but the number that matters is verified resolution, not deflection. Resolve grounds every answer in real content or live system data and refuses to guess when it cannot. A separate supervisor model verifies each reply before it ships. Business logic like refund amounts and return windows is computed in code, never authored by the language model. Reopen rate is treated as the honesty north star, so "the customer never reached a human" is never allowed to masquerade as "solved."
The four things Resolve does differently
- Flat pricing that never taxes success. No per-agent seats and no per-resolution meter. Your bill does not climb when the AI does its job better.
- Verified resolution, not deflection. Grounded answers with cited sources, a supervisor check before send, and reopen rate reported honestly next to any deflection number.
- Zero-admin configuration. Change routing, tone, SLAs, and the confidence dial in plain language. No admin role gate, no query language, no consultant.
- A self-improving knowledge base. Resolved tickets auto-draft articles that a human approves before they become groundable, so the next similar ticket resolves alone and a bad answer never becomes a cited source.
Resolve vs Ada, head to head
- Pricing model: priced per automated resolution, enterprise sales motion vs Resolve: flat rate, no per-resolution meter, self-serve
- Real resolution rate: strong, honestly measured, but a bot layer over your existing desk vs Resolve: grounded resolution inside one platform, verified reporting, designed for 80 to 90 percent
- Setup time: an enterprise build project with configuration and content work vs Resolve: live in minutes from existing docs
- Admin needs: ongoing build and tuning, often with vendor involvement vs Resolve: zero-admin, plain-language tuning
- Who it is for: large enterprises adding automation over an existing helpdesk vs Resolve: teams that want one AI-first platform, not a bot plus a desk
When Ada might still be the better pick
Ada is a strong choice for a large enterprise that already has a helpdesk it will not replace and wants a best-in-class automation layer on top, with the budget and team to run an enterprise deployment. Its resolution measurement discipline is excellent, and at very large scale its channel coverage and reasoning tooling are mature. If you must keep your existing desk and only want to add automation, Ada fits that shape. Resolve is the better pick when you want the AI and the helpdesk to be one product, flat pricing instead of a per-resolution meter, and a self-serve setup measured in minutes rather than a build project.
Frequently asked
Is Resolve a full helpdesk or just a bot like Ada?
Resolve is a complete AI-first support platform: the resolution engine, the agent inbox of judgment calls, decision cards, the self-improving knowledge base, and analytics are one product. Ada is primarily an automation layer that sits on top of a separate helpdesk you still need.
Does Resolve measure resolution as honestly as Ada?
Resolve deliberately adopts the same discipline. It grades resolution on relevant, accurate, and safe, reports verified resolution separately from deflection, and treats reopen rate as the north-star honesty metric. Ada helped popularize this approach, and Resolve builds it in.
How does the pricing compare?
Ada prices around automated resolutions, so cost tracks the volume of automation. Resolve is flat rate, so your bill does not rise with resolution volume. Resolve is also self-serve rather than enterprise sales-led.
Is Resolve enterprise-ready?
Resolve offers SSO, audit logging, roles, and custom SLAs and routing on its higher tier, without the multi-month build Ada deployments often involve. If your requirement is specifically to bolt automation onto an existing enterprise desk, Ada is shaped for that.