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

Amaresh Ray

Co-founder of Rallied. Previously built IT automation at Atlassian and for teams at Indeed and National Geographic.

Expert Verified Last updated

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

If your clients are asking whether staff can paste company data into ChatGPT, you have probably heard Hatz pitched as the answer.

Hatz AI is a secure AI platform that MSPs resell to small and medium business clients. It puts chat, no-code workflows and agents over more than 70 AI models in one multi-tenant console, with credit-based usage and partner-only, quote-based pricing. It is built for AI access and business workflows, so it will not resolve your IT tickets.

This review draws on Hatz's own site, help center and product videos, its credit FAQ, third-party directory listings, an r/msp thread, and Channelholic's October 2026 interview with CEO Jimmy Hatzell.

Hatz AI's landing page.

What is Hatz AI?

Hatz AI is an AI platform built for Managed Service Providers and the small and medium businesses they support. It was founded by CEO Jimmy Hatzell, launched early in 2024 and is based in New York City. According to Channelholic, the company recently passed 1,000 partners, is on track to nearly quintuple revenue this year, has hired AWS and Databricks veteran Jim Fanning as president, and has leased a larger headquarters in Manhattan's Flatiron District. Hatzell told Channelholic that MSPs with 10 to 50 employees are its fastest-growing partner segment.

The core idea is that MSPs should not each build their own AI stack. Hatz provides the platform, the models and the multi-tenant admin console, and the partner brands it, prices it and sells it to clients. Third-party profiles from Nudge Security and Futurepedia describe the platform as powered by an LLM Ops engine called Mido, with AI apps and agents, vector storage and custom LLMs managed through an MSP admin dashboard.

Hatz sits in a different spot in the MSP stack than your RMM, your PSA, or tools like Rallied that work tickets. It is a general-purpose AI workspace for business processes, closer to a managed, multi-model ChatGPT than to an automation engine for IT tickets.

The headline change since this review first ran is Hatz Activate, which every page on hatz.ai now promotes as a way to "launch your AI-as-a-service business." The Activate page describes a rollout dashboard: you connect your PSA or import a CSV, see which clients are ready and which already use unsanctioned AI tools, send bulk invites, and track each client from invite to activation. Hatz has not published pricing for it either.

Hatz AI features and capabilities

Chat, workflows and agents

In Hatz's own product overview video, the platform has three layers. Users start in a chat interface where they pick the model, attach tools and organize work in folders and pinned chats. Once they are comfortable, the "workshop" opens up apps, workflows and agents, with hundreds of templates on a discover page built by Hatz and by other partners. Everything is built in natural language, with triggers and tool connections, and Hatz says no coding is needed.

The use cases Hatz highlights on its homepage include lead generation, HR questions, meeting creation, project briefs and advanced file analysis. Futurepedia's listing adds document and spreadsheet processing, support triage that tags and assigns incoming messages, and customer onboarding through the Intercom integration.

For MSPs specifically, the MSP page pitches Hatz as a way to deploy AI tools, workflows and agents both internally and to customers. Earlier versions of the page showed examples like PowerShell scripting help, client onboarding checklists and client offboarding workflows, which are the day-to-day tasks that eat technician time.

Hatz ships fast. In a February 2026 workflow build video, the presenter says Hatz releases at least one new feature every week and often three or four. That is good for capability and harder on anyone writing internal docs for clients, so plan to recheck anything you document.

Multi-model access

Hatz puts many models behind one login so clients do not manage separate subscriptions and API keys. The video description lists more than 70 models, including the newest from Gemini, OpenAI, Anthropic and Mistral, and the transcript also names Grok, Amazon and Perplexity. Different models suit different jobs, so you can send heavy analysis to a stronger model and simple summaries to a cheaper one. Model choice also drives credit cost, which matters for the pricing section below.

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

Security and compliance

Security is the first problem Hatz says it solves, ahead of adoption and use cases. The MSP page states Hatz meets SOC 2 Type 2 standards, and its help center article on secure AI describes segregated storage for conversation histories and user settings, plus guardrails and protection against model providers training on your data. Hatz runs a public trust portal at trust.hatz.ai.

Nudge Security's vendor profile lists SSO support, including Okta, Login with Google and Login with Microsoft, and shows badges for HIPAA, GDPR, ISO 27001 and others. Treat that profile as a starting point and confirm each certification on the trust portal before you put it in front of a regulated client, because that is exactly the question r/msp members are asking (more on that below).

Role-based access, multi-tenant management and white-labeling round this out, so your clients see your branding rather than Hatz's.

Partner program

The partner program is central to the business model. Hatz sells through partners, and the partner page now also offers a "Join as Non-MSP" path alongside the MSP application.

Partners get:

  • Self-service training modules and a Discord community
  • A learning portal with courses and certifications, plus an "AI-In-A-Box" collection of go-to-market materials in the help center
  • White-label branding and custom workflows
  • NFR (Not For Resale) packages for internal use and demos
  • Custom pricing, so you control margins
  • Weekly MSP meetings for support and learning

Hatz advertises same-day response on applications and a four-step path from application to launch.

Hatz AI pricing

Hatz AI does not publish public pricing. There is no pricing page with tiers and dollar amounts, and everything is quoted through the partner channel.

Futurepedia's listing does name the package tiers: Intro, Starter, SMB, Professional and Business. Per that listing, Intro and Starter are for the smallest deployments with a basic monthly credit allowance, while SMB and above add more credits, administration and SSO eligibility. If a client needs SSO, that tells you which conversation to have.

Usage runs on Hatz Credits:

Aspect Details
Model Credit-based usage
Credit reset First of every month; unused credits do not roll over
Typical chat cost 1 to 30 Hatz Credits
Document summary 1 to 12 credits to turn a 500-word page into a 100-word summary
Credit sharing Pooled across all users in a tenant
Pricing control Partners set client pricing and margins
Trial NFR packages for partner internal use

Source: Hatz AI Credit Usage FAQ

Credit consumption depends on the model selected, the number of input and output tokens, and actions such as API calls, web scraping and file uploads. Chat complexity also counts: how many messages go back and forth, how long they are, and whether files are attached.

Pooling helps because usage is uneven. Each user brings a set number of credits into a shared tenant pool, so a few power users can draw more while occasional users still have access. The catch is the monthly reset. Credits you sold a client and they did not use are gone on the first, so watch consumption per tenant before you set prices. Hatz's Credits & Usage article says unused credits generally don't roll over unless your agreement says otherwise.

When a tenant hits its allowance, the help center lists two routes. Upgrading the tenant's package raises its monthly allowance. Extra Usage, which is not available to every organization, lets a tenant keep working past the allowance up to a monthly cap you set, billed to the MSP at the end of the period.

You will still need to talk to Hatz for real numbers, because there is no self-serve way to model costs upfront.

Hatz AI integrations and setup

Hatz says deployment takes "weeks, not months." The product video claims more than 50 ways to connect data, and the video description names Microsoft, Salesforce, HubSpot, Zapier, n8n, Make and ConnectWise. The help center now has 60 articles in its Connections collection, 16 specific integration articles and 36 MSP and admin articles.

The platform offers:

  • A multi-tenant admin portal for managing clients
  • Role-based access controls
  • An API (specifics are in the docs)
  • A natural language builder for workflows and agents

For MSPs, the integration story is better than it was. ConnectWise is on the list, so you can bring PSA data into a chat or a workflow. What none of the material reviewed shows is Hatz picking up a ticket from your board, running the fix in Microsoft 365 or the RMM, and writing the notes and time entry back. Hatz is mostly a platform your clients and staff log into, rather than an agent working your queue.

Hatz AI vs. alternatives

Hatz AI vs. Rallied

Rallied and Hatz both sell to MSPs, but they solve different problems.

Rallied is an AI agent that works tickets in your PSA. It connects to ConnectWise, HaloPSA or Autotask, runs the fix in Microsoft 365 and your RMM (including NinjaOne), pulls the client's docs from IT Glue or Hudu during triage, and writes the notes and time entry back to the ticket. Password resets and new-hire setup are typical examples. The value is technician hours back on the queue.

Hatz is a workflow and content platform. It helps with research, document analysis, HR questions and general business automation, and its revenue case is AI-as-a-Service you resell.

The credit models differ too. Rallied is $300 a month with 2,000 credits, and a ticket costs 1, 3 or 8 credits depending on how much work the agent did. Tickets it could not finish or was not allowed to act on are never charged, and unused monthly credits roll over for one month, where Hatz credits reset on the first.

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

Choose Hatz if you want to resell AI to clients as a new revenue line, or you need general AI workflows for business operations rather than IT operations.

Choose Rallied if your L1 queue is the problem and you want something that runs the fix in the systems you already have. For why that distinction matters, see ticket deflection vs. resolution.

Hatz AI vs. ChatGPT, Claude and Copilot

Consumer AI tools are cheap and easy to start with, so why pay for Hatz? The case is management: SOC 2 Type 2, role-based access, pooled credits, white-labeling and one console across every client tenant. Consumer accounts do not give you those across clients.

If a client's needs are simple and their data is not sensitive, a direct subscription may be enough. If the client is already deep in Microsoft 365, compare Hatz against Copilot before you quote; the Microsoft 365 Copilot readiness assessment covers what that rollout involves. One r/msp commenter compared Hatz head to head with Claude Cowork, which is a reminder that the vendors' own business tiers are now part of the comparison.

Hatz AI vs. other MSP automation platforms

Rewst, Pia and Synthreo also target MSPs, with different approaches:

  • Rewst is a workflow automation platform with deep PSA and RMM integrations and Jinja-based logic.
  • Pia focuses on AI-driven ticket triage and resolution.
  • Synthreo sells AI agents for MSPs to deploy.
  • Hatz is general-purpose AI that is less tied to specific IT operations.

Hatz needs less technical setup than Rewst because there is no Jinja to write, but it is also less wired into your MSP stack. If Rewst is the comparison you are making, see Rewst alternatives for MSP automation.

Hatz AI reviews: what users say

Hatz publishes testimonials on its site. Chris Swecker of Appalachia Technologies credits Hatz with a 20% efficiency boost for his support and NOC teams, which he describes as feeling like an extra day in the week for his techs. Matt Rose of Tech Rage IT says it ties their systems together, cuts manual work and gives clients a secure AI option. An anonymous user puts the revenue case plainly:

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

There is more outside Hatz's site than when this review first ran:

  • Futurepedia rates Hatz 4.5 out of 5, with features at 4.8 and ease of use at 4.0 (listing updated September 10, 2026).
  • FeaturedCustomers shows 4.8 out of 5 from 319 reference ratings and five case studies, including ImageQuest and CMIT Solutions. Granite Technology Solutions is quoted as saying "Hatz AI has earned our trust as a secure, responsive partner driving real AI impact across our business."
  • On r/msp, a thread titled "Is anyone actually selling Hatz.ai in regulated industries?" has one commenter calling app integrations very easy and praising the "ask AI how to use AI" feature for newcomers, before comparing it against Claude Cowork.

Directory ratings built from references are not the same as open user reviews, and the 20% figure has no independent verification. The Reddit thread is the most useful signal because it asks the question your clients will ask: can you sell this into healthcare, legal or finance and defend the compliance story? Read the replies before your first regulated deal.

Is Hatz AI right for your MSP?

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

Consider Hatz AI if:

  • You want AI-as-a-Service as a new revenue line
  • Clients are asking for AI and you do not want to build the platform
  • You need general AI workflows for research, analysis and content rather than IT automation
  • You want many models behind one login with pooled credits
  • SOC 2 Type 2 is a requirement for your clients

Look elsewhere if:

  • You need AI that works IT tickets, such as password resets and new-user setup
  • You want transparent, self-serve pricing
  • You prefer buying direct rather than through a partner channel
  • Your main need is PSA and RMM workflow automation, where Rewst may fit better

Hatz fills a specific niche. It does not replace your PSA, your RMM or a tool that works your ticket queue; it gives clients managed AI they can use without falling back on consumer accounts. The partner model gets you white-labeling and margin control, at the cost of pricing transparency. The credit system handles uneven usage well, but the monthly reset means you have to watch consumption per tenant.

Hatz's growth suggests plenty of MSPs, especially in the 10 to 50 employee range, are finding the resale model works. If you want to monetize AI without building infrastructure, it is worth a trial with an NFR package. Go in clear on what it does (general AI workflows and agents for clients) and what it does not (work tickets in your PSA). For how other MSPs are packaging AI, see what a managed intelligence provider is and the MSP AI adoption statistics.


To see how Rallied handles this inside your PSA, read about AI Ticket Triage and Routing for MSPs.

For the wider picture, read Best MSP AI Tools for Ticket Automation in 2026.

Frequently Asked Questions

What is Hatz?

Hatz AI is a secure AI platform that MSPs resell to small and medium business clients. It offers chat, no-code workflows and agents across more than 70 AI models in one multi-tenant console. It launched early in 2024 and recently passed 1,000 partners.

How does Hatz AI pricing work for MSPs?

Hatz does not publish prices; partners get quotes and set their own client pricing and margins. Third-party listings name five package tiers: Intro, Starter, SMB, Professional and Business. Usage runs on Hatz Credits, with a typical chat costing 1 to 30 credits depending on the model and the length of the chat.

What happens to unused Hatz AI credits?

Hatz credits reset to the standard amount on the first of every month, and unused credits do not roll over. Credits are pooled across all users in a tenant, so light and heavy users share one balance. Watch consumption per client before you set prices.

What makes Hatz AI different from ChatGPT for MSPs?

Hatz adds the management layer consumer accounts lack across clients: SOC 2 Type 2, role-based access, a multi-tenant admin console, white-labeling and pooled credits. It also puts models from OpenAI, Anthropic, Google, Mistral and others behind one login. For simple needs with non-sensitive data, a direct subscription may be enough.

Can Hatz AI integrate with my PSA or RMM?

Hatz lists ConnectWise among its integrations, alongside Microsoft, Salesforce, HubSpot, Zapier, n8n and Make, and its help center has 60 articles on connections. That lets you bring PSA data into chats and workflows. The material reviewed does not show Hatz working tickets end to end, such as running a fix in the RMM and writing time back to the ticket.

Is Hatz AI suitable for small MSPs?

Yes. Hatz's CEO told Channelholic in October 2026 that MSPs with 10 to 50 employees are its fastest-growing partner segment. Pooled credits suit small teams with uneven usage. The lack of public pricing means you still need a sales conversation to model costs.

Is Hatz AI safe for regulated clients?

Hatz states it meets SOC 2 Type 2 and runs a trust portal at trust.hatz.ai, and Nudge Security's profile lists SSO with Okta, Google and Microsoft plus badges such as HIPAA and GDPR. Confirm each certification on the trust portal before quoting it to a healthcare, legal or finance client. MSPs on r/msp are asking this exact question, so expect clients to ask it too.

What training does Hatz AI provide for partners?

Partners get self-service training modules, a Discord community, weekly MSP meetings and a learning portal with courses and certifications. The help center also has an AI-In-A-Box collection of go-to-market materials. NFR packages cover internal testing and demos.

See Rallied in Action

Rallied resolves L1 tickets end-to-end. Password resets, account unlocks, onboarding — handled in minutes, not hours.