Drift vs Hatz AI
Side-by-side trajectory, velocity, and editorial themes.
Drift, absorbed into the Salesloft-Clari stack, ships monthly agentic and admin bundles
Drift no longer ships as a standalone product — its changelog now flows through Salesloft's monthly release notes following the Salesloft-Clari merger, with Drift's chatbot settings appearing as one section among many. The cadence is a steady monthly digest spanning dialer, Outlook Connect, Conversations, and CRM sync. The clearest strategic thread is agentic: an MCP server for external AI tools, a Sales Strategist coaching agent, and AI call scoring.
Expect Drift's identity to keep dissolving into the combined Salesloft/Clari revenue platform, with the monthly notes increasingly led by AI agent and Copilot features rather than Drift's conversational-marketing roots. Security and governance controls — recording visibility tiers, passcode-gated sharing, token rotation — are hardening in parallel, signaling an enterprise push.
The next monthly release will likely deepen Clari-Salesloft integration and expand the MCP/agent surface, while Drift-branded features continue to appear only as a shrinking subsection.
Hatz turns its MSP AI platform into an agent-composition and phone-automation system.
Hatz AI is an MSP-oriented AI workspace: a governed model selector plus agents, workflows, integrations, and AI phone agents, sold through managed-service-provider tenancy. Recent releases push hard on two fronts: making phone agents a real front-line call system (routing, warm transfer, caller memory, business hours, post-call workflows) and making agents composable inside workflows. Model breadth keeps expanding, with Sonnet 5 and seven new LLMs added to the selector.
The direction is from a chat-with-models tool toward an automation platform where saved agents are reusable building blocks and phone agents replace human triage. Governance is a throughline: role-based model, integration, and tool controls, tenant templates, and usage budgets all deepen the MSP multi-tenant control plane. Model selection is increasingly abstracted behind Auto-LLM.
Expect further phone-agent autonomy and more agent-as-step composition across workflows, with continued MSP governance controls and ongoing additions to the model roster.
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