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The Zendesk alternative for 2026

Zendesk Deflects. We Resolve.

EvoAI is agent-native. It resolves the ticket end-to-end and charges once, per resolution, not per seat plus an AI add-on fee. 100% of tickets resolved: AI handles the bulk end-to-end, your team closes the rest.

100%

of tickets resolved: AI handles the bulk end-to-end, your team closes the rest.

77%

lower support cost vs. a human team, live in 1 day.

Side by side comparison

An AI agent that deflects vs. an AI employee that resolves

Zendesk's AI Agent triages, drafts, and routes. It's a helpful assist, still built on a per-seat ticketing model. EvoAI was built agent-native: it executes, not just deflects. Here's how they line up.

Zendesk
Per-seat helpdesk, AI resolutions billed on top
Starting price
$19–$115+/agent/mo
AI cost model
~$1.50–$2.00 per resolution over plan allotment
Tickets resolved
Limited AI allotment (5–15/agent/mo), then billed
Time to live
Weeks of setup and agent onboarding
Shopify order plus tracking in the reply
Self-serve help center / FAQ
Order, attribution and past tickets pre-loaded into every reply
Auto-approves refunds and exchanges via policy engine
Evo AI
Agent-native support, powered by Blotout
Starting price
$0 setup, outcome-based
AI cost model
One charge per resolution
Tickets resolved
100% (AI + human)
Time to live
1 day
Shopify order plus tracking in the reply
Self-serve help center / FAQ
Order, attribution and past tickets pre-loaded into every reply
Auto-approves refunds and exchanges via policy engine

Why teams leave Zendesk

The same complaints, over and over, in Zendesk reviews. Here's how EvoAI answers each one.

What they say about ZendeskEvo AI
Per-resolution billing stacks on top of per-seat pricing. The more your team grows, the more both cost lines grow.$0 setup. One charge per resolution, no surprise overage.
AI resolution overage now auto-bills once you exceed your plan's allotment, with no warning.Agent-native: one charge per resolution, nothing stacked.
New AI capabilities aren't compatible with legacy plans, so teams get pushed onto pricier tiers just to keep automation.One plan, one price. No legacy-tier migration required.
Costs feel reasonable at first, then climb fast once you add agents, workflows, or AI features.Live in 1 day with hands-on onboarding, not a ticket queue you beg.
Hard to predict the real bill or tie it back to a clear ROI number.One number: cost per resolution. Easy to tie to ROI.
The business case

The real cost of Zendesk once AI Agent is on

Zendesk's published starting rate is $19/agent/mo, scaling to $115+/agent/mo for plans with AI Agent features. Seat cost alone already climbs with headcount, before any AI resolution overage is added.

Zendesk seat cost by team size$1,1405 agents$3,42015 agents$6,84030 agentsSeat cost (published rate: $19/agent/mo)Where your tickets go100%resolved by Evo AI + your team

Bars show published seat cost only, at $19/agent/mo. On top of this, Zendesk bills $1.50–$2.00 per AI resolution once you exceed your plan's small monthly allotment. Zendesk doesn't publish an all-in total, so your real number depends on resolution volume. EvoAI replaces both lines with one charge per resolution.

You stay in controlPolicy thresholds, approval queues, and a full audit trail on every action Evo AI takes.
Augments your teamEvo AI resolves 100% of tickets. It clears the bulk end-to-end, and your agents handle the rest with a case file ready to read. Zero new hires.
Live in 1 dayNo rules trees to rebuild. Evo AI learns from your existing tickets, help center, and store data.

The difference isn't the ticket queue. It's the architecture.

A chatbot deflects: it asks for an email, drops a help-center link, and hands the work back to the customer. An agent resolves: EvoAI already knows the order, detects the store and currency, checks the customer's history, and acts within your policy. Same ticket, different context, different outcome.

Resolves, not just deflects

Zendesk's AI Agent drafts a reply and escalates the judgment call. EvoAI resolves refunds, exchanges, and order changes end-to-end inside your policy. Only true edge cases escalate.

Context built in, not bolted on

EvoAI is powered by Blotout, so orders, attribution, and prior conversations are in the reply from the first message. No macros to maintain, no "what's your order number?" Live in 1 day.

Priced per resolution, not per seat

Zendesk prices per agent seat, then layers an AI add-on on top. EvoAI charges once, per resolution. Cost scales with outcomes, not headcount.

Switching from Zendesk

The questions DTC teams ask us most when they move off a per-ticket helpdesk.

Why is Zendesk expensive once AI Agent is on?

Because you're paying for two things that both scale with headcount: agent seats and the AI Agent tier on top. EvoAI charges once, per resolution, so cost scales with outcomes, not headcount.

Is Evo AI just another chatbot?

No. Zendesk's AI Agent drafts and triages, but it still hands off the judgment calls. EvoAI is agent-native, so it executes: it checks the order, applies your refund and exchange policy, auto-approves what's allowed, and only escalates the edge cases, with a case file ready to read.

How long does it take to switch?

Most brands are live in 1 day. There are no macros or bots to rebuild. EvoAI learns from your existing tickets, help center, and store data.

Will it sound like us, and stay within policy?

Yes. EvoAI replies in your brand voice and operates inside the policy you set: refund limits, approval thresholds, escalation rules. Anything outside policy reaches your team with full context attached.

What happens to the tickets Evo AI doesn't resolve?

The remaining tickets land with your team as a ready-to-read case file: order, history, attribution, and what EvoAI already tried. Your agents pick up where EvoAI left off instead of starting from a blank queue.

Want the numbers for your store?

Send us your monthly ticket volume and we'll run the side-by-side cost math against your current Zendesk bill.

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One context layer. One AI brain. Every customer moment, end-to-end

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