Bird vs Hatz AI
Side-by-side trajectory, velocity, and editorial themes.
Bird is shipping AI agents far outside its CX/messaging roots — Travel Explorer and an autonomous code pipeline.
Bird's last three monthly notes describe a CX latency win (60% chat response-time cut via router bypass and greeting fast path), a consumer AI travel agent (Travel Explorer with destination research, hotel recs, itinerary building), and an autonomous code-delivery pipeline (Forge: AI review, tiered testing, zero-touch deploys with rollback). The remaining tracked entries are duplicate aggregator views of the same three releases.
Despite being categorized as customer support and messaging, Bird's actual shipping pattern reads like a generic AI-agent platform: a messaging speedup that benefits the legacy product, plus two agent-shaped surfaces (consumer travel, autonomous DevOps) that have nothing to do with CX. The company is using its CRM/messaging customer base as a distribution channel for adjacent AI-agent products rather than deepening the support tooling itself.
Expect more vertical AI-agent surfaces wrapped under the Bird brand — likely commerce, scheduling, or recruiting agents — alongside continued latency and routing improvements to the chat core. The next pricing question is whether these agents bundle into the existing CX seat or detach into separate metered SKUs.
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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