Resolve vs Gladly
Gladly is a beautifully designed, people-centered support platform built around a single lifelong conversation per customer instead of disposable tickets. Premium retail and consumer brands choose it for exactly that human feel. It is also premium-priced and fundamentally agent-first: its philosophy centers the human agent. Resolve centers the AI. Here is a fair, respectful comparison of two different bets.
How Gladly works and where teams hit walls
Gladly organizes support around the customer, not the ticket, so an agent sees one continuous conversation across channels and over time. It is polished, and for brands that compete on service quality it is compelling. The walls are cost and philosophy.
Premium, agent-oriented pricing. Gladly is positioned at the premium end and its model is oriented around agents handling conversations. For a team whose goal is to reduce how many conversations reach a human at all, paying a premium per agent runs against the grain.
Agent-first by design. Gladly's entire thesis is elevating the human agent. AI features (its Sidekick automation) exist, but they support a model that assumes a person is the heart of most conversations. Resolve's thesis is the opposite: the AI resolves most conversations and the human handles only the judgment calls.
Best fit is a specific segment. Gladly shines for premium consumer brands with the budget and the service philosophy to match. Outside that segment, the premium is harder to justify.
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 Gladly, head to head
- Pricing model: premium, agent-oriented pricing vs Resolve: flat rate, no per-seat
- Real resolution rate: agent-first, AI assists the human vs Resolve: AI resolves by default, grounded and cited, designed for 80 to 90 percent
- Setup time: an implementation for a premium platform vs Resolve: live in minutes from existing docs
- Admin needs: configuration and ongoing ownership vs Resolve: zero-admin, plain-language tuning
- Who it is for: premium consumer brands competing on human service vs Resolve: teams that want AI to resolve most tickets on flat pricing
When Gladly might still be the better pick
Gladly is the right choice for a premium brand whose competitive advantage is the human relationship: customers who expect to be known, agents empowered with a full lifelong history, and a service philosophy that treats every conversation as part of a relationship rather than a ticket to close. If that is your brand and you have the budget, Gladly is built precisely for it, and it is excellent at it. Resolve is the better pick when your goal is to resolve most tickets without a human, keep costs flat, and reserve your people for the genuinely high-value judgment calls.
Frequently asked
Is Resolve impersonal compared to Gladly?
No. Resolve's customer replies are written to sound human, and its sentiment guardrail ensures an angry or emotional ticket never gets a canned FAQ voice and never auto-closes. The difference is that Resolve uses AI to deliver that experience at scale, then routes the relationship-heavy calls to a person, rather than putting a person on every conversation.
How does pricing compare?
Gladly is premium and agent-oriented. Resolve is flat rate with no per-agent seats, which is a very different economic model, especially if your aim is to reduce how many conversations a human handles.
Does Resolve keep customer history like Gladly?
Resolve reads the customer's full history to ground answers and route correctly, but it does not center the product on a single lifelong-conversation model the way Gladly does. If that specific model is your priority, Gladly is built around it.
Which is better for a premium retail brand?
It depends on your thesis. If your differentiator is human relationship and you will staff for it, Gladly fits. If you want AI to handle the volume so your people focus only on high-value moments, Resolve fits. Both can deliver a warm experience.