Journey Orchestration
Triggers, waits, branches, goals and channel actions on a visual canvas, with per-node stats, versioning and a 30-day replay.
Operate
Copy, segments, reports and journeys from plain language, predictive scores with explanations, and an assistant that never acts without approval.
Win back people who abandoned checkout twice this month but never bought
Proposed as a draft. Here is the segment, the journey and what would have happened over the last 30 days.
+segment "abandoned twice, never bought"+ where checkout_started count ≥ 2 in last 30 days+ and order_completed count = 0 ever+ exclude universal_holdout
come_back_v2 · approved
Wait 24h
exit early on order_completed
still_thinking_v1
4,318
would have entered
212
stopped by frequency cap
0
in universal holdout messaged
diff: +1 segment · +1 journey · 0 existing objects changed · 4,318 profiles affected
Nothing is applied until a person with permission approves. The approval, the diff and the simulation are written to the audit log.
Overview
Every engagement platform shipped an agent in 2026. The winnable ground is the trust boundary. The Edverix assistant drafts the change, simulates it against real history, renders a diff of exactly who is affected, and does nothing until a human approves. Every action is scoped to that person's permissions, logged and reversible.
Only on Edverix
The answer and the SQL it ran, so you can verify it.
Not "churn risk 0.81" but "these customers all hit the same payment error before they left."
Generate and simulate in one motion; nothing applies until a person with permission says so.
Capabilities
13 capabilities in 3 groups, organised the way the product is.
Copy with tone and audience controls, and character-count and cost warnings on SMS.
Plain language in, an editable definition out, so you can check its work.
The answer and the SQL it ran, so you can verify it.
Auto-drafted descriptions for every discovered event and property.
Scores within a window you set, usable as segment conditions.
Not "churn risk 0.81" but "these customers all hit the same payment error before they left."
Learned from each customer's own history rather than a global average.
Changes in event volume or conversion explained by the dimension that moved.
Generate and simulate in one motion; nothing applies until a person with permission says so.
Use a model mid-flow to write, classify or route.
Your team's own assistant can pull analytics, build segments and check campaigns, with exactly that person's permissions.
Multi-step task funnels with retries, escalations and tool failures as first-class events.
AI is part of the product, not a credit pack.
FAQ
No. It can draft, simulate and propose. Applying a change requires a human with the right permission, and the approval is recorded in the audit log.
Frontier models through a gateway you can configure, including bring-your-own keys for teams with existing agreements. Prompts never include data outside the requesting user's permissions.
Get started
Send your first event in an hour, simulate your first journey against real history, and keep every byte of it in a database you can query.