Subsplash vs Chat Data
Side-by-side trajectory, velocity, and editorial themes.
Subsplash wires natural-language AI through People and Analytics — its two highest-leverage surfaces.
Subsplash has spent the last two months putting AI on the busiest parts of its admin. Trends AI consolidated giving, attendance, and events data into AI-buildable dashboards in late March, and People Assistant followed in May with natural-language filtering of congregation lists. Between those, the team shipped a dedicated Events Manager role, a group-attendance analytics dashboard, and smaller workflow-board UX gains.
The bet is clear: ministry staff with no SQL or BI background want to ask questions of their congregation's data in plain language — both for analysis and for action. Trends AI handles the analytical half; People Assistant is the actionable list-building counterpart. The supporting work — RBAC, attendance analytics, faster workflow navigation — is what lets the AI features actually land inside real church-staff workflows.
Expect AI to extend next into Workflows (plain-language routing rules for congregants) and Giving (donor segmentation for stewardship outreach), with a unified AI surface across modules as the natural endpoint. Pricing the AI tier separately, as Trends AI already is, telegraphs how Subsplash will monetize this push.
Chat Data is turning its chatbot platform into a workflow runtime with payments built in.
Chat Data is no longer just a custom-chatbot builder — recent shipments push it toward an end-to-end agent platform. The last two weeks added cron-driven workflow triggers, native Stripe OAuth, deeper page-context tiers, and access to GPT-5.5. Each move targets a different gap that previously forced customers to bolt on outside tooling.
The arc is unmistakable: chatbot to agent to autonomous workflow with monetization wired in. Scheduling decouples Chat Data's automations from live user prompts; direct Stripe handles the revenue side; richer page context closes the gap with retrieval-heavy competitors. Pricing is shifting in lockstep, with a per-node credit charge for non-AI workflow steps replacing the prior all-or-nothing model.
Expect the next releases to focus on workflow observability — run history, retries, conditional branches — and likely an agent marketplace or template gallery to drive adoption of the scheduled-trigger surface.
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