March 12, 2026 · By Amaresh Ray

Hatz AI review 2026: Features, pricing, and MSP fit

Hatz AI promises to help MSPs deliver AI-as-a-Service to their clients. The pitch is compelling: white-label AI workflows, multi-tenant management, and a partner-first model that lets you resell AI without building it yourself. But does it actually deliver?

We spent time with their documentation, partner materials, and customer testimonials to figure out what Hatz AI actually does, what it costs, and whether it's worth your time as an MSP. Here's what we found.

A screenshot of Hatz AI's landing page.

What is Hatz AI?

Hatz AI is an AI platform built specifically for Managed Service Providers and Small-to-Medium Businesses. Founded by CEO Jimmy Hatzell and based in the New York City area, the company positions itself as a bridge between AI hype and practical implementation.

The core idea is simple: 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 clients. Think of it as infrastructure for AI-as-a-Service.

Hatz AI sits in a different spot in the MSP stack than traditional automation tools. While RMMs and PSAs handle your technical operations, and tools like Rallied execute specific ticket resolutions, Hatz focuses on general-purpose AI workflows. It's more "ChatGPT for business processes" than "automation engine for IT tickets."

The company emphasizes security as a differentiator. They're SOC 2 Type 2 certified and market themselves as the "secure AI platform" for businesses that can't risk feeding proprietary data into consumer AI tools.

Hatz AI features and capabilities

Workflow automation

Hatz AI's main selling point is natural language workflow creation. You describe what you want in plain English, and the platform builds the automation. No coding required, no Jinja templates to wrestle with.

The use cases they highlight include:

Lead generation capturing and processing inbound leads
HR workflows handling employee questions and reducing back-and-forth emails
Meeting creation scheduling and preparation automation
RFP responses generating first drafts with research, budgeting, and case studies
File analysis uploading documents for summaries and insights

For MSPs specifically, Hatz offers pre-built workflows for common operational tasks. The MSP page shows examples like PowerShell scripting assistance, client onboarding checklists, and client offboarding workflows. These are practical, day-to-day tasks that eat up technician time.

Multi-LLM approach

Unlike tools that lock you into a single AI model, Hatz brings "all the best LLMs together in one interface." This matters because different models excel at different tasks. You might want GPT-4 for creative writing, Claude for analysis, and a cheaper model for simple summarization.

The platform handles the routing behind the scenes. You don't manage multiple API keys or subscriptions. Hatz abstracts that complexity away.

By aggregating multiple LLMs, Hatz AI allows MSPs to match specific business tasks with the most effective AI model.

Security and compliance

Hatz AI is SOC 2 Type 2 certified. They offer role-based access controls, multi-tenant architecture for managing multiple clients, and enterprise-grade security protocols. For MSPs serving regulated industries, this compliance foundation matters.

The platform also provides white-label solutions, meaning your clients see your branding, not Hatz's. This is table stakes for MSPs reselling services, but worth confirming.

Partner program

Hatz's partner program is central to their business model. They don't sell direct to end customers. Everything goes through partners.

Partner benefits include:

Training and certifications through self-service modules and a Discord community
White-label branding and custom workflows
NFR (Not For Resale) packages for internal use and demos
Custom pricing models where you control margins
Weekly MSP meetings for support and learning

The onboarding process claims same-day response times, with a four-step path from application to launch.

Hatz AI pricing

Here's where it gets complicated. Hatz AI does not publish public pricing. You cannot see a pricing page with tiers and features. Everything is quote-based through the partner channel.

What we do know: Hatz uses a credit-based system.

Aspect	Details
Model	Credit-based usage
Credit reset	Monthly (credits do NOT roll over)
Typical chat cost	1-30 Hatz Credits
Document summary	1-12 credits for 500 words → 100 word summary
Pricing control	Partners set custom pricing and margins
Free trial	NFR packages for partner internal use

Source: Hatz AI Credit Usage FAQ

Credit consumption depends on three factors: which LLM you select, the number of input/output tokens used, and any additional actions like API calls, web scraping, or file uploads.

The credit-sharing model is interesting. Credits are pooled at the company level across all users in a tenant. This means power users can consume more while occasional users still have access, without paying for individual seats that go underutilized.

Bottom line: You'll need to contact Hatz for actual numbers. There's no self-serve option to evaluate costs upfront.

Integrations and technical setup

Hatz claims deployment in "weeks, not months." Their documentation center contains 56+ articles on connections and integrations, suggesting fairly broad ecosystem support.

The platform offers:

Multi-tenant administrative portal for managing multiple clients
Role-based access controls
API availability (though specifics require digging into their docs)
Natural language interface (no coding required)

For MSPs, the integration story is mixed. Hatz connects to your clients' systems for workflow automation, but it's not a direct integration with your PSA or RMM in the way that execution-focused tools work. You're not triggering Hatz workflows from ConnectWise tickets automatically. It's more of a standalone platform your clients access.

Hatz AI vs. alternatives

Hatz AI vs. Rallied

This is the comparison most MSPs should consider. Rallied and Hatz AI both serve MSPs, but they solve different problems.

Rallied executes fixes directly. It connects to your PSA, RMM, and identity systems, then actually resolves L1 tickets: password resets, account unlocks, mailbox permissions. It updates tickets, notifies users, and closes the loop. The value proposition is reclaimed technician hours.

Hatz AI is a workflow and content platform. It helps with research, document analysis, HR questions, and general business automation. It doesn't execute IT operations. The value proposition is AI-as-a-Service revenue and efficiency gains in business processes.

Understanding the distinction between IT-focused automation like Rallied and business-focused AI like Hatz helps with stack selection.

When to choose Hatz: You want to resell AI capabilities to clients as a new revenue stream, or you need general-purpose AI workflows for business operations (not IT operations).

When to choose Rallied: You're drowning in L1 tickets and need something that actually executes fixes across your existing stack.

Hatz AI vs. ChatGPT/Claude

Consumer AI tools like ChatGPT are cheaper and more accessible than ever. So why pay for Hatz?

The answer comes down to security, management, and multi-tenancy. Hatz offers SOC 2 compliance, role-based access, pooled credit management, and white-labeling. You can't get those enterprise features from consumer tools.

That said, if your needs are simple and your data isn't sensitive, consumer AI might be sufficient. Hatz is betting that MSPs serving business clients need the enterprise wrapper.

Hatz AI vs. other MSP automation platforms

Tools like Rewst and Pia also target MSPs with automation. The difference is in approach:

Rewst is a workflow automation platform with heavy emphasis on PSA/RMM integrations and Jinja-based logic
Pia focuses on AI-driven ticket triage and resolution
Hatz is more general-purpose AI, less tied to specific IT operations

Hatz requires less technical setup than Rewst (no Jinja coding), but it's also less deeply integrated into your MSP stack.

Real user feedback

Hatz AI publishes several customer testimonials on their site. Here's what actual users say:

"Hatz has been a game-changer for our support and NOC teams. We've seen a 20% boost in efficiency. It's like adding a whole extra team member. For our techs, it feels like gaining an extra day in the week to focus on what matters most." Chris Swecker, Appalachia Technologies LLC

"Hatz ties our systems together and gives clients a secure AI option. It streamlines automation, reduces manual work, and speeds up response times. Now, with one centralized platform, our teams work the same way and our data stays protected." Matt Rose, Tech Rage IT

"We're finally making money from AI instead of just talking about it with customers." Anonymous Hatz User

The 20% efficiency claim from Appalachia Technologies is specific enough to be credible, though we couldn't find independent verification. The testimonials consistently hit two themes: efficiency gains and the ability to resell AI services.

The limitation: We found no independent reviews on G2, Capterra, or Reddit. All testimonials come from Hatz's own site. This isn't unusual for a newer platform, but it means we can't cross-reference claims.

Is Hatz AI right for your MSP?

Here is what actually matters.

This flowchart helps MSPs determine if Hatz AI aligns with their specific business goals and client service requirements.

Consider Hatz AI if:

You want to add AI-as-a-Service as a new revenue stream
Your clients ask for AI solutions but you don't want to build them
You need general-purpose AI workflows (research, analysis, content) rather than IT-specific automation
You value the multi-LLM approach and credit-sharing model
SOC 2 compliance is a requirement for your clients

Look elsewhere if:

You need AI that executes IT operations (ticket resolution, password resets, provisioning)
You want transparent, self-serve pricing
You prefer direct vendor relationships rather than partner-channel purchasing
Your primary need is PSA/RMM integration and workflow automation (tools like Rewst may fit better)

The honest assessment: Hatz AI fills a specific niche. It's not a replacement for your PSA, RMM, or execution-focused automation tools. It's a platform for delivering general AI capabilities to clients who want them but can't or won't use consumer tools.

The partner-first model has pros and cons. You get white-labeling and margin control, but you lose pricing transparency and direct purchasing. The credit system is flexible for variable usage patterns, but monthly expiration means you need to monitor consumption carefully.

If you're an MSP looking to monetize AI without building infrastructure, Hatz is worth evaluating. Just go in with clear expectations about what it does (general AI workflows) and what it doesn't (IT operations execution).

Frequently Asked Questions

How does hatz ai pricing work for MSPs?

Hatz AI uses a credit-based pricing model where partners purchase credits and resell to clients. Credits reset monthly and don't roll over. Typical usage ranges from 1-30 credits per chat. Actual pricing requires contacting Hatz directly as they don't publish public rates.

What makes hatz ai different from ChatGPT for MSPs?

Hatz AI offers enterprise features that consumer AI tools lack: SOC 2 Type 2 compliance, role-based access controls, multi-tenant architecture for managing multiple clients, white-labeling, and pooled credit management across users.

Can hatz ai integrate with my PSA or RMM?

Hatz AI has 56+ integration articles in their documentation, but it's not a direct PSA/RMM automation tool like some alternatives. It connects to client systems for workflow automation but doesn't execute IT operations like ticket resolution or account provisioning.

Is hatz ai suitable for small MSPs or only larger ones?

Hatz AI targets MSPs of various sizes through their partner program. The credit-sharing model can actually benefit smaller teams where usage varies across members. However, the lack of transparent pricing makes it harder for smaller MSPs to evaluate without sales conversations.

What kind of training does hatz ai provide for partners?

Partners get access to self-service training modules, a Discord community, weekly MSP meetings, and certification programs. Hatz also provides NFR (Not For Resale) packages for internal testing and demo environments.

Does hatz ai require technical expertise to implement?

Hatz AI emphasizes natural language workflow creation with no coding required. The platform abstracts away the complexity of managing multiple LLMs and API keys. Deployment is advertised as 'weeks, not months.'

What happens to unused hatz ai credits?

Hatz credits reset monthly and do not roll over. This is important for budgeting as unused credits at month-end are lost. Partners need to monitor client usage patterns to optimize credit allocation.