Richpanel vs Hatz AI
Side-by-side trajectory, velocity, and editorial themes.
Richpanel is widening its integration moat and opening the helpdesk up to AI via MCP.
Richpanel is in heavy integration mode, shipping a new ecommerce or comms connector almost every week — Appstle Subscriptions, JustCall (inbound/outbound calls in the inbox), BigCommerce, WhatsApp templates from the reply box, plus earlier ShipInsure, Okendo, and Fulfil ERP. The strategically interesting moves are a Claude/MCP integration that gives Anthropic's assistant secure access to helpdesk data, and Custom HTTP Widgets that let merchants pull any REST API into the conversation sidebar.
The product is positioning as the most-connected helpdesk for Shopify-era ecommerce: native integrations for every adjacent SaaS, plus the no-code Custom HTTP widget escape hatch for the long tail. The MCP server signals where they want to go next — AI assistants reading and acting on helpdesk data rather than agents copy-pasting between tabs. Competitive frame is Gorgias, Zendesk's commerce push, and Shopify Inbox.
Expect more MCP/agent surface — likely outbound connectors for ChatGPT and Cursor on top of the existing Claude integration, plus internal AI-drafted replies and triage. Integration breadth will keep expanding across loyalty, reviews, subscriptions, and shipping. Pricing may eventually meter AI usage per conversation alongside seat-based plans.
Hatz AI is building the AI workspace for MSPs — per-message model routing, tenant tooling, custom MCP.
Hatz AI is shipping at a high cadence across three connected themes. First, model routing: Auto-LLM picks the right model per message based on task and tools, then layered into Lite, Performance, and Turbo tiers; the catalog keeps adding models (Opus 4.7, Gemini 3.5 Flash, Gemini 3.1 Flash Lite, Gemma 4) with per-model credit multipliers surfaced in the UI. Second, MSP control plane: bulk tenant creation via CSV, custom roles with credit limits, workshop access controls, and embedded support chat in the admin dashboard. Third, surface expansion: audio uploads with auto-transcription, image generation in workflows, file output attaching to chats, 60+ supported file types, speech-to-text in chat, and a steady cadence of integrations and custom MCP server improvements.
The product is taking shape as a multi-tenant AI workspace tuned for MSPs and partner-led delivery — the tenant CSV, credit limits, and workshop sharing are unusual for a generalist AI tool and tell you who buys this. Auto-LLM and tiered routing make sense in that context: an MSP needs cost control across many tenants without micromanaging model picks. Custom MCP and the broad integration cadence position Hatz as a tools-aggregator over multiple LLMs rather than a model wrapper.
Expect more MSP-centric controls — per-tenant budgets, white-label theming, billing reconciliation — and Auto-LLM to grow visible routing telemetry so MSP admins can see why a given model was picked. The custom MCP surface is likely to evolve toward a marketplace pattern with shareable MCP packages across tenants.
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