Issuetrak vs Hatz AI
Side-by-side trajectory, velocity, and editorial themes.
Issuetrak hardens for serious enterprise deployment — HA support, Azure hosting, off-web-folder attachments.
The visible window is a coherent enterprise-deployment push: high-availability deployment is now supported, Azure joins the hosting-environment list, attachments can live on UNC or local paths outside the web folder, API v2 has new endpoints, Magic Sign-In session length is admin-configurable up to 30 days, and Sys Admins can block risky file types across Windows/Mac/Linux. Smaller UX moves include attachment-count and billing-line indicators on issues and bulk entity import.
Issuetrak is repositioning itself from a small/mid-market self-hosted issue tracker into something deployable inside large IT estates. The combination of HA, Azure, off-web-folder attachments, and API v2 expansion is exactly the deployment-shape work that a procurement team would gate-keep on. Nothing in the feed points to AI features yet — the bet is on owning the regulated/on-prem buyer who can't or won't move to cloud-only ITSM.
Expect AWS hosting support (mirror of the Azure work), more API v2 surface, and probably an SSO/IdP hardening pass to round out the enterprise-deployment story. AI surfaces — agent-assist for ticketing, summarization — are a plausible 2026/2027 add but absent from current signals.
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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