Hatz AI
Paid ✓ VerifiedHatz AI is a white-label AI platform that lets managed service providers build and sell private AI assistants to their SMB customers.
📋 About Hatz AI
Hatz AI is a white-label AI platform purpose-built for managed service providers and IT consultancies that want to offer private, branded AI assistants to their small and mid-market business customers without building the infrastructure themselves. MSPs use Hatz AI to package ChatGPT-style productivity tools with client-specific knowledge, controls, and branding, then sell them as a recurring add-on to their existing service stack.
The platform takes care of multi-tenant account isolation, single sign-on, audit logging, content moderation, and model routing so that each end-customer gets a dedicated workspace that meets basic compliance expectations. MSP administrators provision new client workspaces in minutes, connect data sources such as SharePoint, Google Drive, and shared mailboxes, and apply role-based controls from a central dashboard. End users get a polished assistant branded to their own company.
Hatz AI serves the fast-growing market of SMBs that want generative AI capabilities but cannot evaluate or deploy the tooling themselves. By delivering through their trusted MSP, they get AI that works with their existing documents and policies from day one. MSPs get a recurring revenue stream with healthy margins and a competitive differentiator against peers still selling only traditional IT services.
⚡ Key Features of Hatz AI
Multi-Tenant Workspace Architecture
Hatz AI provides each MSP with a master account under which they provision separate workspaces for each end-customer, with strict logical and data isolation between tenants. Per-tenant usage metering supports accurate per-client billing, and per-tenant admin controls keep client-specific policies independent. MSPs can manage hundreds of clients from a single pane of glass.
White-Label Branding
Each workspace can be themed with the end-customer's logo, colors, and domain so end users experience the assistant as a native product of their own company. MSPs can also brand the platform as their own managed service or reseller product. Custom domains and email templates are supported.
Knowledge Base Connectors
Pre-built connectors integrate with SharePoint, OneDrive, Google Drive, Dropbox, Microsoft 365 mailboxes, and common file shares so the assistant can answer questions grounded in each client's own documents. Indexes are tenant-scoped and respect the client's existing file-level permissions. Incremental sync keeps answers current without reindexing full corpora.
Model Routing and Cost Control
Hatz AI routes requests between multiple underlying LLM providers based on task type, cost, and sensitivity, allowing MSPs to balance quality and margins per workspace. Admins can enforce hard caps on per-user monthly spend to prevent runaway costs. Model choice is abstracted so end users see a single unified assistant.
Content Moderation and Guardrails
Tenant-configurable content policies, PII redaction, and output filters help MSPs deliver an assistant that meets client-specific compliance requirements without custom engineering. Guardrails include industry templates for healthcare, legal, financial services, and professional services clients. Violations are logged to the audit trail.
Audit Logs and Compliance
Every conversation, document access, and admin action is logged with exportable audit trails suitable for SOC 2, HIPAA BAA, and general client compliance reviews. MSPs can offer compliance as a service to clients in regulated industries. Logs are retained per tenant with configurable retention periods.
Revenue and Billing Tools
Built-in usage analytics, per-workspace billing reports, and Stripe billing hooks let MSPs run Hatz AI as a packaged service with predictable margins. Price-per-seat or price-per-tenant models are both supported. Analytics surface upsell opportunities based on workspace activity.
🎯 Use Cases for Hatz AI
⚖️ Hatz AI Pros & Cons
Advantages
- ✓Purpose-built for MSP resale with multi-tenant architecture
- ✓White-label branding at both MSP and end-customer levels
- ✓Pre-built connectors for SharePoint, Drive, and common SMB tools
- ✓Strong margin profile versus reselling commodity AI seats
- ✓Compliance features suitable for regulated SMB verticals
Drawbacks
- ✗Requires MSP partner channel — not sold direct to end-users
- ✗Interface less polished than flagship consumer AI assistants
- ✗Advanced features can lag behind pure-play AI platforms
- ✗Smaller community and third-party integration ecosystem
📖 How to Use Hatz AI
Sign up as an MSP partner at hatz.ai and complete onboarding with the channel team.
Provision your first client workspace from the MSP admin dashboard.
Customize branding, content policies, and model defaults for the workspace.
Connect the client's SharePoint, Drive, or mailbox as a knowledge source.
Invite end users and train them on the assistant through Hatz AI's templates.
Monitor usage, billing, and feedback from the MSP dashboard and upsell additional seats as adoption grows.
❓ Hatz AI FAQ
Hatz AI is for managed service providers, IT consultancies, and channel partners who want to resell a private AI assistant to their SMB and mid-market customers. It is not sold direct to end-users.
Hatz AI routes between multiple providers including OpenAI, Anthropic, and open-source models to balance quality, cost, and data residency. Model choice is abstracted from end users.
Hatz AI offers HIPAA-compliant configurations and signs BAAs with MSP partners who serve healthcare clients. Specific compliance posture depends on model selection and workspace configuration.
Yes. MSPs pay Hatz AI a wholesale fee and set retail pricing to their end customers. Typical retail pricing is two to four times the Hatz AI wholesale cost.
Each client has a dedicated logical workspace with separate indexes, conversation history, and configuration. No data is shared across tenants and per-tenant encryption keys are available on higher tiers.
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