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The Zowie alternative for 2026

Zowie Builds For Banks. We Build For Your Shopify Store.

EvoAI is agent-native, built specifically for Shopify and DTC. It resolves the ticket end-to-end and charges once, per resolution. 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

A config-heavy platform vs. an AI employee that's Shopify-ready on day one

Zowie is built for enterprise support and needs real tuning to reach full accuracy: often weeks of data work with a solutions architect. EvoAI was built agent-native for Shopify and DTC, with your store's order data and policy wired in from day one. Here's how they line up.

Zowie
AI agent platform, config-heavy for full accuracy
Starting price
$499–$2,499+/mo published tiers; custom above
AI cost model
Per-conversation, ~$1.38/conversation at scale
Tickets resolved
No published guarantee (up to ~80% deflection in case studies)
Time to live
Weeks of tuning for full accuracy
Built for enterprise support channels: banking, telecom, insurance
Configurable by a dedicated implementation team
Sales-led onboarding with custom scoping calls
Priced and packaged for large support organizations
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 pass on Zowie

The same friction points, over and over, from teams evaluating Zowie. Here's how EvoAI answers each one.

What they say about ZowieEvo AI
Reaching full accuracy takes real work: several weeks of data tuning with a solutions architect for domain-specific data.Order data, refund policy, and brand voice are wired in from day one. No weeks of tuning sessions.
Deep customizations can be hard and slow to make without looping in the Zowie team.Your policy, your voice, editable directly. No ticket required.
The reporting module lacks integration with BI tools, and is thin for managing multiple brands or markets.Order, attribution, and resolution data in one place, built for a single-brand DTC team.
The language-translation feature doesn't always work when you need it.Live in 1 day with hands-on onboarding, not a queue for special requests.
Support response can be slow on special requests outside the standard playbook.Hands-on onboarding from day one. No waiting on a special request queue.
The business case

The real question isn't cost. It's configuration.

Zowie publishes three mid-market tiers: Basic, Growth, and Professional. Higher ticket volume or advanced automation pushes teams into custom enterprise pricing, which Zowie quotes at $300K+/yr and negotiates through a solutions-architect-led sales process. Here's the annual math across the published tiers.

Zowie's published tiers (mid-market)$5,988/yrBasic$11,988/yrGrowth$29,988/yrProfessionalPublished tier priceWhere your tickets go100%resolved by Evo AI + your team

Illustrative, from Zowie's published mid-market pricing. Once you outgrow Professional, the next stop is a custom enterprise contract. EvoAI replaces the tier ladder with one price that scales with usage, no enterprise renegotiation required.

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 industry. It's the setup time.

Reaching Zowie's full accuracy takes real configuration time: reviewers report several weeks of data tuning with a solutions architect. EvoAI already knows Shopify order data, refund policy, and brand voice, and acts within your policy from day one.

Built for Shopify, not banking

Zowie's playbook is enterprise support: banks, telecom, insurance. EvoAI is built for Shopify and DTC: order data, refund policy, and brand voice, out of the box.

Live in days, not a multi-week rollout

Zowie's enterprise sales process runs weeks of scoping and implementation. EvoAI imports your tickets, help center, and store data powered by Blotout, and is live in 1 day.

Priced per resolution, not a published tier you'll outgrow

Zowie's published tiers run $499 to $2,499+/mo by conversation volume, with custom enterprise pricing above that. EvoAI charges once, per resolution. No tier to plan around.

Switching from a Zowie evaluation

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

Why does Zowie take longer to get right?

Reaching Zowie's full accuracy takes real tuning time: reviewers report several weeks of data work with a solutions architect. EvoAI is built for Shopify data specifically, so there's less to tune from day one.

Is Evo AI just another chatbot?

EvoAI is agent-native: 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's no multi-week implementation project. 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.

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.

Want to see it live in 1 day?

Send us your monthly ticket volume and we'll show you what a 1-day rollout actually looks like on your store. No weeks of tuning required.

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

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