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Verdict: Hatz AI fills a real gap. Managed Service Providers — the IT shops that run SMB technology — have wanted an AI service offering they could resell under their own brand without rebuilding the platform from scratch. Hatz delivers exactly that: multi-tenant architecture, multi-LLM model access, white-label branding, credit-pooled pricing, and a SOC 2 Type 2 posture serious enough for regulated industries. The product is not a fit for enterprises already deep in Microsoft 365 with E3/E5 Copilot licensing — Microsoft owns that workflow. But for the ~40,000 MSPs serving the SMB long tail, Hatz AI is one of the cleanest paths to launching an AI service line in 2026.
Strong MSP fit, niche but real
Multi-LLM + App Builder
No public list; partner-led
Natural-language workflow build
MSP-channel-led, partner CS
SOC 2 Type 2, multi-tenant isolation
Try Hatz AI through a partner, or compare to Copilot/ChatGPT Enterprise.
Compare to Microsoft Copilot Pricing guideWhat is Hatz AI?
Hatz AI is a secure, multi-LLM AI platform built specifically for Managed Service Providers (MSPs) and small-to-medium businesses (SMBs). Per Hatz's own positioning, the company describes itself as "the secure AI platform" for businesses that can't risk feeding proprietary data into consumer AI tools.
The product structure addresses three buyer needs simultaneously:
- SMBs get a single-tenant AI workspace with multi-LLM access (GPT-4, Claude, plus cheaper models for simple summarization), pre-built apps, and the ability to create custom workflows.
- MSPs get a multi-tenant management layer that lets them onboard, manage, and bill multiple SMB clients from a single console — exactly the management surface MSPs already use for RMM, PSA, and other client-facing tools.
- White-label customers get the ability to resell Hatz under their own brand, complete with reseller economics and partner support.
The strategic insight Hatz is built on: roughly 40,000 MSPs in the US serve the long tail of SMBs that Microsoft and OpenAI's enterprise sales motions do not reach. Those MSPs need an AI service line, but most of them lack the engineering depth to build a secure multi-LLM platform from scratch. Hatz provides the platform; MSPs provide the customer relationship.
Pricing in 2026
Hatz AI does not publish list pricing publicly. Per authorized reseller allCare IT, plans start at approximately $190/month for the entry tier. The platform uses a credit-based consumption model where credits are pooled across the company rather than billed per user.
| Plan | Reported price | Included | Best for | Free trial |
|---|---|---|---|---|
| Starter (reported) | From ~$190/month | Multi-LLM access (GPT, Claude, others), pre-built apps, credit pool, RBAC | SMBs (10-50 employees), pilot MSP deployments | Partner-led trial |
| Growth (reported) | Custom | Higher credit pool, App Builder, deeper integrations, dedicated CSM | SMBs (50-200), MSP rollouts | Demo |
| White-label / Partner | Custom | Multi-tenant management console, branded UX, billing tooling, reseller economics | MSPs reselling AI services | Partner onboarding |
| Enterprise | Custom | SSO, advanced audit, custom retention, dedicated infrastructure options | Mid-market & regulated industries | Demo |
The credit-pooling model is worth understanding. Where consumer AI tools price per user, Hatz allocates a shared monthly credit pool across the entire organization. A heavy user in marketing can burn through their share without blocking light users in finance; conversely, a heavy month for the whole team eats into the shared budget faster. For SMBs with uneven AI consumption patterns, this is more flexible than per-seat — but it requires admin attention to usage analytics.
What Hatz actually does
Multi-LLM access
The platform brokers access to multiple frontier LLMs — GPT-4 / GPT-4o, Claude (Anthropic), and cheaper models for simple summarization or classification tasks. The buyer benefit is model-portfolio thinking: use GPT-4 for creative writing, Claude for long-context analysis, smaller models for high-volume rote tasks. Per Rallied's MSP-fit review, this multi-model approach is the core technical value proposition.
Natural-language workflow build (App Builder)
The AI App Builder lets users describe what they want in plain English — "build me a workflow that summarizes new tickets and tags them by priority" — and the platform constructs the automation without code. Pre-built prompts and apps can be deployed across tenants, which matters operationally for MSPs serving similar client profiles (legal firms, accounting practices, dental practices, etc.).
Multi-tenant architecture
The architecturally distinctive feature. A single MSP operator can manage many client tenants from one console with proper data isolation between tenants. This is the difference between giving every SMB client their own ChatGPT Team subscription (operationally painful, no central visibility) and managing all of them through a single AI service offering (clean, profitable, repeatable).
White-label and resale
For MSPs that want to brand the AI offering as their own ("AcmeIT AI", "TechHaven Cognitive Assistant", etc.), Hatz provides the white-label layer. This is how MSPs turn an AI platform into a recurring revenue line item without giving away brand equity to Microsoft, OpenAI, or Anthropic.
Role-based access controls
Standard enterprise-grade RBAC, audit logging, and admin controls — table stakes for any platform claiming SOC 2 Type 2 posture, and present here. Buyers in regulated industries should confirm specific control granularity during procurement.
Security: SOC 2 Type 2
The single most consistent marketing message from Hatz: it is the secure AI alternative to dumping company data into ChatGPT free or consumer Claude. SOC 2 Type 2 certification is the substantiation. For SMBs in regulated verticals — legal practices, financial advisors, healthcare-adjacent businesses — this is the differentiator that justifies the price premium versus consumer AI tools.
Pros and cons
Strengths
- Built specifically for MSPs — solves a real channel gap
- Multi-LLM model brokerage with model-portfolio thinking
- White-label and reseller economics let MSPs build branded AI service lines
- SOC 2 Type 2 posture suitable for regulated SMB verticals
- Credit-pool pricing is more flexible than per-seat for uneven usage
- Natural-language App Builder accelerates workflow creation
- Multi-tenant management console for MSPs managing many clients
- Pre-built apps deployable across tenants for similar client profiles
Limitations
- No published list pricing — slows direct buyer evaluation
- Smaller brand recognition than Microsoft Copilot, ChatGPT, or Anthropic
- Channel-led GTM means evaluation usually requires an MSP partner
- Credit pool can be hard to forecast in months of uneven usage
- Younger company (2023) with smaller reference base
- For organizations already on Microsoft 365 E3/E5 with Copilot, Hatz duplicates capability
- Native deep integrations into specific SMB stacks (legal practice software, dental PM, etc.) vary by partner
Who Hatz AI is best for — and who should look elsewhere
Strong fit: MSPs adding an AI service line without building their own platform. SMBs (10-500 employees) wanting a secure, multi-LLM AI workspace with pooled pricing. Mid-market businesses in regulated verticals (legal, finance, healthcare-adjacent) that need SOC 2 Type 2 posture and centralized RBAC. Companies that have ruled out feeding proprietary data into consumer ChatGPT/Claude and need an alternative their compliance team will sign off on.
Weak fit: Enterprises already deep in Microsoft 365 with E3/E5 Copilot licensing — Copilot covers similar ground inside the existing security boundary. Heavy-developer organizations that prefer raw API access to OpenAI, Anthropic, or Azure OpenAI — the App Builder layer is overhead. Companies with no MSP relationship and an aversion to channel-led GTM — direct vendors like ChatGPT Enterprise may be easier to buy.
Alternatives to evaluate
Microsoft Copilot for Microsoft 365. The default enterprise AI overlay if you already have E3/E5. Bundled in the Microsoft licensing motion. Strong for Office-heavy workflows. See our Microsoft Copilot review.
ChatGPT Enterprise. Direct from OpenAI with SOC 2 Type 2 and an enterprise-grade contract. Stronger model frontier; less channel-friendly. See our ChatGPT Enterprise review.
Claude Enterprise. Anthropic's enterprise tier. Strong long-context analysis, increasingly enterprise-friendly procurement. See our Claude Enterprise review.
Cassidy AI. Workflow automation focus, knowledge-base as first-class object, $49-$499 tiers. Different shape — Cassidy is direct-to-SMB rather than MSP-channel. See our Cassidy AI review.
Vellum AI, Gumloop. AI workflow platforms with parallel-processing strengths. Direct-to-customer models rather than MSP-channel.
Build-your-own with Azure OpenAI or AWS Bedrock. The DIY alternative for MSPs with engineering depth. Greater control, much greater effort.
Implementation and onboarding
Hatz onboarding usually runs through an MSP partner. The partner handles tenant provisioning, initial app library configuration, user training, and integration into existing client tooling. For direct SMB customers without an MSP, expect a partner-assisted onboarding model rather than fully self-serve.
Most SMBs reach productive use within 2-4 weeks: tenant setup, model selection, RBAC configuration, pilot of 1-3 pre-built apps (often summarization, Q&A on internal documents, and tone-rewriting), then expansion into custom App Builder workflows. The bigger lift is the same change-management challenge every AI rollout faces — getting employees into the habit of using the platform rather than reverting to consumer tools.
Security, privacy, and compliance
Hatz publishes SOC 2 Type 2 certification and markets multi-tenant data isolation, RBAC, and enterprise-grade security protocols as core platform features. Procurement should request the current SOC 2 Type 2 attestation, scope of controls, sub-processor list, data-residency disclosure, and the model-training posture (does prompt data train future models? — confirm in writing).
For regulated industries: confirm specific compliance scope (HIPAA BAA availability for healthcare-adjacent SMBs, FINRA/SEC posture for financial advisors, attorney work-product privilege considerations for legal practices). MSPs reselling Hatz should be specific about which compliance commitments flow through to client contracts.
User reviews and reception
Third-party coverage on Futurepedia, TechShark, Rallied, and SourceForge position Hatz favorably as an MSP-channel AI platform. Common positive themes: real MSP fit, multi-LLM brokerage, SOC 2 Type 2 posture, credit-pool economics. Common critiques: no public list pricing, smaller brand recognition than direct-to-enterprise alternatives, partner-led GTM is not for everyone.
Inside MSP communities — Reddit's r/MSP, the ChannelE2E and CRN coverage of the channel — Hatz has earned a reputation as one of a small number of AI platforms purpose-built for the channel, alongside competitors like Liongard's AI features and the growing Cove / SkyKick AI overlays. The category is forming; Hatz is one of the more credible early entrants.
Evaluate Hatz AI through a partner, or compare direct alternatives.
Compare to ChatGPT Enterprise All workflow AIFrequently asked questions
What is Hatz AI?
Hatz AI is a secure AI platform built specifically for Managed Service Providers (MSPs) and small-to-medium businesses (SMBs). It provides multi-LLM access (GPT-4, Claude, plus cheaper models for simple tasks), a no-code AI App Builder, multi-tenant architecture for MSPs managing multiple clients, role-based access controls, and a white-label / reseller layer so MSPs can resell the platform under their own brand.
How much does Hatz AI cost in 2026?
Hatz AI does not publish list pricing publicly. Reseller pages (notably allCare IT) cite plans starting at approximately $190/month, with the platform using a credit-based system where credits are shared across the entire company rather than per user. Final pricing depends on MSP tier, white-label scope, and seat counts — request a quote directly or via an authorized partner.
Is Hatz AI SOC 2 compliant?
Yes. Hatz AI is SOC 2 Type 2 certified and markets itself explicitly as a secure AI platform for businesses that cannot risk feeding proprietary data into consumer AI tools. Role-based access controls, multi-tenant isolation, and enterprise-grade security protocols are part of the standard posture. Confirm the current attestation report and SOC 2 scope during procurement.
How does Hatz AI compare to Microsoft Copilot and ChatGPT Enterprise?
Different shapes. Microsoft Copilot and ChatGPT Enterprise are vendor-built productivity products. Hatz AI is a white-label platform MSPs resell to clients, with multi-tenant architecture, credit pooling, and an App Builder for custom workflows. For an MSP wanting to launch an AI service practice without building from scratch, Hatz fills a gap that Microsoft and OpenAI do not address. For end customers already standardized on Microsoft 365, Copilot may be the cleaner pick.
Who is Hatz AI best for?
Hatz AI is best for: MSPs adding an AI service line without building their own platform from scratch; SMBs (10-500 employees) that want a secure, multi-LLM AI workspace with predictable pricing; mid-market businesses that want pre-built AI apps and the ability to create custom workflows; and businesses in regulated industries (legal, finance, healthcare-adjacent) that need a SOC 2 Type 2 posture. Less ideal for enterprises already deep in Microsoft 365 with E3/E5 Copilot licensing.
Sources & further reading
- Hatz AI official — hatz.ai
- Rallied MSP-fit review — rallied.ai
- allCare IT (authorized reseller) — allcareit.com
- Futurepedia listing — futurepedia.io
- SourceForge — sourceforge.net
- Crunchbase profile — crunchbase.com