Hatz AI Review: Pricing, Features, and How It Fits the MSP Stack

Hatz AI keeps showing up in MSP conversations about AI, and for good reason — it’s one of the few platforms built specifically for the channel. But there’s a disconnect between what MSPs expect when they search for “Hatz AI” and what the platform actually does. Hatz isn’t an AI helpdesk or a ticket resolution engine. It’s an AI-as-a-Service platform that lets MSPs white-label and resell AI capabilities to their clients. That’s a fundamentally different value proposition than most MSP AI tools, and understanding that distinction is the key to evaluating whether Hatz fits your operation.

This Hatz AI review breaks down what the platform does, what it doesn’t do, how pricing works, and how it compares to tools like Junto that focus on IT operations and service desk automation.

What Hatz AI Actually Is

Hatz AI was founded in 2023 by Jimmy Hatzell (formerly of CyberQP, Barracuda MSP, and Skout Cybersecurity) and Aidan Kehoe. The company raised a $2.5M seed round led by Vestigo Ventures, with investors including Alex Weiss from ClearSky and Matt Higgins from RSE Ventures. They’re based in the New York City area and have intentionally kept the team small.

The core pitch: instead of every MSP building their own AI solutions from scratch, Hatz provides a pre-built platform that partners can white-label and resell to their SMB clients. The platform is powered by an LLM Ops engine called Mido, which manages routing across multiple large language models — GPT-4, Claude, and others — behind a single interface.

Key capabilities include:

• AI Chat Assistant. A customizable, secure chat interface that businesses use for research, document analysis, content generation, and general productivity tasks. Think of it as a managed ChatGPT alternative with enterprise controls.
• AI App Builder. Build custom AI applications and pre-built prompts that can be deployed across multiple client tenants. No coding required — you describe workflows in plain English.
• AI Phone Agents. Automated phone agents for customer interactions, operational 24/7.
• Multi-tenant admin dashboard. Manage multiple client environments from a single MSP portal with role-based access controls.
• ConnectWise integration. Create, search, fetch, and update service tickets in ConnectWise Manage. AI-based ticket categorization and prioritization, plus company and contact lookups for contextual support.

Hatz is SOC 2 Type 2 certified, which matters for MSPs selling into compliance-conscious environments.

Hatz AI Pricing: What MSPs Actually Pay

Here’s where it gets complicated. Hatz AI does not publish public pricing. There’s no pricing page with tiers and feature breakdowns. Everything is quote-based through their partner channel.

What we do know:

• Credit-based model. Hatz uses a consumption-based system where partners purchase credits. A typical AI chat interaction costs 1-30 credits depending on the LLM selected, conversation length, and complexity. Credits are calculated based on input and output token counts, with pricing varying by model.
• Credits reset monthly. They don’t roll over. Plan accordingly.
• Partner-controlled resale pricing. MSPs set their own margins when reselling to clients. Hatz provides the infrastructure; you control the packaging.
• Reseller pricing starts around $190/month. At least one public reseller (allCare IT) lists plans starting at that price point, though your actual cost from Hatz will depend on your partner agreement.

The lack of transparent pricing is worth noting. In a market where SuperOps publishes clear tiers and Rewst breaks down exactly what you’ll pay, a “contact sales” wall makes it harder to evaluate ROI before committing to a conversation. That said, Hatz’s model is designed for partners who will negotiate volume pricing, so public tiers may not make sense for their go-to-market.

Hatz AI Review: What It Does Well

Revenue stream, not just a cost center. Most MSP AI tools are internal — they make your techs faster or your triage smarter. Hatz flips the model. You’re not buying AI to reduce your costs; you’re buying AI to sell a new service. For MSPs looking to add AI-as-a-Service to their offering, that’s a genuine differentiator.

White-label branding. Your clients see your brand, not Hatz’s. Custom AI automations, workflows, and integrations all carry your identity. This matters for MSPs who want to own the client relationship around AI rather than pointing clients to a third-party tool.

LLM flexibility. Access to multiple models through a single interface means you’re not locked into one provider’s strengths and weaknesses. The Mido engine handles routing, so clients get the right model for the right task without managing the complexity themselves.

Partner training and certification. Hatz offers structured training across AI knowledge, product usage, administration, and sales — which helps MSP teams actually sell the service, not just deploy it.

ConnectWise ticket integration. The ability to create and update ConnectWise tickets from within Hatz, with AI-driven categorization, adds practical value for MSPs already on ConnectWise. Analyzing ticket trends to identify recurring issues is a useful proactive capability.

Where Hatz AI Falls Short for IT Operations

This is the critical distinction. Hatz AI is a general-purpose AI workflow platform — not an IT operations automation engine. It helps with research, document analysis, content generation, and business process automation. It does not execute IT operations like password resets, account provisioning, security remediation, or endpoint troubleshooting.

No autonomous ticket resolution. Hatz can create and categorize tickets, but it doesn’t resolve them. It won’t reset a password via Graph API, run a remediation script on an endpoint, or execute a multi-step workflow to fix a printer mapping issue. If your goal is reducing resolution time on L1 tickets, Hatz doesn’t address that directly.

Limited IT-specific integrations. Beyond ConnectWise, Hatz’s integration story is more about general business tools than IT operations tools. Platforms focused on MSP service delivery — like Thread or Junto — connect to RMMs, documentation platforms, security tools, M365, and networking gear because that’s where ticket context and resolution actions live.

Business AI, not service desk AI. Hatz is closer to “ChatGPT for your clients” than “AI technician for your service desk.” Both are valuable — they’re just different products solving different problems. If you’re searching for Hatz AI expecting an AI helpdesk alternative, you may be comparing apples to oranges.

Hatz AI vs. Junto: Head-to-Head Comparison

Dimension	Hatz AI	Junto
Primary function	AI-as-a-Service platform for resale	AI service desk automation for MSPs
Target user	MSP’s clients (via white-label)	MSP technicians
Ticket resolution	Creates/categorizes tickets	Resolves tickets via runbook execution
PSA integration	ConnectWise (ticket CRUD + categorization)	ConnectWise (embedded, deep triage)
Total integrations	ConnectWise + general business tools	19+ (PSA, RMM, docs, security, M365, networking)
AI triage	Basic ticket categorization	Cross-tool triage with 18 AI processors
Runbook automation	No native runbooks	43+ templates, 3 modes (AI/Hybrid/Human)
Human-in-the-loop	N/A (no action execution)	Built-in approval on every action
Pricing model	Credit-based, quote only	Per-MSP pricing
Revenue model for MSP	Resell AI to clients	Reduce service delivery costs
Security certifications	SOC 2 Type 2	SOC 2 in progress, TLS + encryption at rest
White-label	Yes	No

These aren’t competing products in most scenarios. They address different parts of the MSP business.

When Hatz AI Makes Sense

Hatz fits MSPs who want to:

• Add a new revenue stream. If you’re looking to sell AI-as-a-Service to your SMB clients — managed ChatGPT, AI-powered document analysis, custom AI applications — Hatz gives you the infrastructure without building from scratch.
• White-label AI under your brand. Clients interact with your branded AI platform, not a third-party tool. You control the experience and the pricing.
• Offer general business AI, not IT-specific AI. Hatz works well for HR automation, content generation, research assistance, and business workflow optimization. These are real use cases that SMBs will pay for.
• Stay small and margin-focused. The credit-based model means you can control costs tightly and mark up based on perceived value rather than fixed per-seat pricing.

Hatz doesn’t make sense as your primary tool for service desk automation, ticket resolution, or IT operations efficiency. It’s not built for that, and evaluating it against tools that are will lead to a mismatch.

When You Need IT Operations AI Instead

If your actual problem is ticket volume, resolution time, or technician efficiency, you need a platform built for IT operations — not general-purpose AI resale.

Junto connects to 19+ tools and queries them simultaneously when a ticket arrives. Device health from NinjaOne, documentation from ITGlue or Hudu, user status from M365, security alerts from SentinelOne or Sophos, licensing data from Pax8, network context from Meraki or Auvik — all pulled into a single triage summary before the tech opens the ticket. Then runbooks execute the fix with one-click technician approval.

The 43+ pre-built runbook templates cover the workflows MSPs actually run: password resets, MFA enrollments, license adjustments, security incident responses, user onboarding/offboarding. Each runs in one of three modes — full AI automation, hybrid with selective approval gates, or human-guided checklists — depending on the client’s risk tolerance and your SOP requirements.

For the broader landscape of AI agents built for IT support, the market is splitting clearly between platforms that help you sell AI and platforms that help you deliver IT services with AI. Both are legitimate businesses. The question is which problem you’re solving first.

The Bottom Line on Hatz AI

Hatz AI is a well-positioned AI-as-a-Service platform for MSPs who want to resell AI capabilities to their SMB clients. The white-label model, multi-tenant management, LLM flexibility, and SOC 2 certification make it a credible option in that specific category. The ConnectWise integration adds practical value for ticket context, even if it doesn’t extend to resolution.

Where expectations go wrong is when MSPs evaluate Hatz as a service desk AI tool. It isn’t one. The platform doesn’t resolve tickets, execute IT operations, or automate the technician’s workflow. If that’s what you need, you’re looking at a different category entirely.

The credit-based pricing model without public transparency is the other consideration. You’ll need to engage with their sales team to understand actual costs, which makes it harder to model ROI upfront compared to platforms with published pricing.

If you want to see what IT operations AI looks like — cross-tool triage, runbook automation, and human-in-the-loop resolution across your entire MSP stack — start with Junto.