Plain
Plain built an autonomous support agent, and has now built the controls to trust it.
A side-by-side editorial comparison of Hatz AI and Xurrent — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Hatz AI | Xurrent |
|---|---|---|
| Sector | Support | Support |
| Velocity score | 6.3 | 6.3 |
| Sparks · 30d | 1 | 0 |
| Top themes | msp-channel, phone-agents, model-selector, multi-tenant-admin | agentic-itsm, sera-ai, cmdb, self-service |
| Last editorial update | 4d ago | 11d ago |
| Website | — | Visit → |
Hatz sells through MSPs, and its roadmap has started to serve the partner more than the end user
Most of Hatz's window is model-selector maintenance — Claude Opus 5, Kimi K3, GLM 5.2 Fast, DeepSeek V4 Flash, the Gemini 3.x line — plus a steady buildout of the phone agent, which has gained pausing, duplication, reassignment, drafts, silence tolerance, business hours, and caller memory. Against that routine, Hatz Activate stands apart: a rollout console built for the managed service providers who resell the platform.
Sera AI crosses from assistant to autonomous agent while the ITSM core keeps its monthly grind.
Xurrent ships on a disciplined monthly cadence, and the last quarter splits cleanly in two. One half is steady ITSM plumbing — shared tags across Requests, Problems, Workflows and Projects, CMDB reconciliation that a human can actually read, iPaaS connectors, self-service reservations. The other half is Sera AI, which moved from a chat widget to a configurable studio and then, on 10 July, to two agents that act without a person in the loop.
Most of Hatz's window is model-selector maintenance — Claude Opus 5, Kimi K3, GLM 5.2 Fast, DeepSeek V4 Flash, the Gemini 3.x line — plus a steady buildout of the phone agent, which has gained pausing, duplication, reassignment, drafts, silence tolerance, business hours, and caller memory. Against that routine, Hatz Activate stands apart: a rollout console built for the managed service providers who resell the platform.
Two arcs run in parallel. The phone agent is being hardened into a product an MSP can deploy repeatedly across client sites — duplicate it onto a new number, reassign it to a different tenant, cap its minutes — while Activate supplies the partner with the shadow-AI scan and enablement material that starts the sales conversation. Model additions continue but carry no direction; they are table stakes restated every few weeks.
Expect more tenant- and partner-scoped administration, since renaming tenants and invoicing over the API both landed this window and point at MSPs managing many clients programmatically. The phone agent's usage-based pricing suggests metering and limits will keep expanding ahead of any new end-user capability.
Xurrent ships on a disciplined monthly cadence, and the last quarter splits cleanly in two. One half is steady ITSM plumbing — shared tags across Requests, Problems, Workflows and Projects, CMDB reconciliation that a human can actually read, iPaaS connectors, self-service reservations. The other half is Sera AI, which moved from a chat widget to a configurable studio and then, on 10 July, to two agents that act without a person in the loop.
The two tracks are converging rather than running in parallel. Knowledge article readiness, CI location hints and reconciliation legibility are not standalone features — they are the data-quality preconditions an agent needs before it can be trusted to close a request. Xurrent is building the substrate first and letting Sera consume it, which is why the agent work has landed without the usual rollback noise. Agent Designer success metrics suggest the next constraint is proving the agents work, not shipping more of them.
Expect the agent count to grow slowly and the governance surface around it to grow faster — more Golden Set tooling, more per-agent success reporting, and tighter scoping of which request types an agent may close unaided.
Other Support products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Hatz AI or Xurrent.
Plain built an autonomous support agent, and has now built the controls to trust it.
Sleekplan rebuilt itself around AI triage, then put the feedback board inside ChatGPT.
Comm100 publishes steadily about AI support — none of it is Comm100 shipping anything.
respond.io is layering an agent-authoring copilot and consumption billing on top of its omnichannel inbox.
A teaser-only content feed making one argument: AI in the contact center fails on knowledge, not models.
A steady SEO blog on SMS basics, with the occasional ecommerce integration walkthrough.
See all Hatz AI alternatives → · See all Xurrent alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Hatz AI and Xurrent are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Hatz AI and Xurrent are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Support products to evaluate alongside.
Top Hatz AI alternatives in Support are ranked by recent ship velocity. Browse the "Hatz AI alternatives" section above for the current picks, or visit /alternatives/hatz-ai for the full list with editorial commentary on each.
Top Xurrent alternatives in Support are ranked by recent ship velocity. Browse the "Xurrent alternatives" section above for the current picks, or visit /alternatives/xurrent for the full list with editorial commentary on each.