A company-specific intelligence system built around your product watches every account, every day — and catches the quiet exits your dashboards can't see. By the time it needs you, the save is already written.
Every account, every day. Nothing needs you right now — and that is the normal state.
The team expanded three weeks ago. Six new seats were added. None of them ever completed a first core action, and the original users slowed down with them.
By every number your billing and analytics tools track, this account is growing. That is exactly why it gets missed.
Logins look normal — but real workflow runs fell 71% in 24 days. Activity without the work.
Six seats added Jun 2 — four never reached first value, and two open tickets sit on that exact step.
Dana's reply time drifted from 2 hours to 3 days across the last five threads.
Their integration stopped posting 11 days ago. Nobody switched it off — they just stopped.
One account, four systems, one pattern — no single dashboard can see it. Every line traces to its source record.
One reversible cause, an admin who still answers, and 19 days before renewal. Effort spent here is likely to change the outcome.
It now knows that in your product, seats added without a first core action is an early loss signal. It will catch the next one sooner.
Scout — the agent that never stops watching — sweeps all of them anyway. Every account, every day, without being asked. It is not a report you run. It is a workforce that is already on shift.
The job is not to produce more dashboards. It is to stay quiet until something actually deserves you.
All quietMeridian Co. stopped doing the thing that makes Meridian Co. stay. Not dramatically — their weekly core actions just quietly fell by two thirds over three weeks. Scout catches it on day 23.
No alert fired anywhere else in your stack, because nothing that anyone else measures actually moved.
Scout · flagged day 23Revenue flat. Seats up from 12 to 18. Logins present. Every number your billing and analytics tools track points the wrong way.
This is the failure mode Revioli exists for: the accounts that look healthiest in aggregate are often the ones quietly coming apart underneath.
Every other tool: healthyScout hands the account to Sleuth, which reconstructs what changed and shows the evidence behind it — usage, seats, support history, who is still engaged — each line traceable to the record it came from.
On their own, each signal is noise. Together — six seats stalled at setup, the champion's replies slowing, an integration going quiet — they are a cause, not a correlation.
Evidence, with sourcesNot "how at risk is this account" — everyone sells you that. The useful question is can you still do anything about it.
One reversible cause, a champion who still replies, 19 days of runway. Judge says: yes, spend the effort here. On another account the same day, it will tell you not to bother — and that is worth just as much.
Still winnable · 19 daysMost AI stops at the insight and leaves you the job. Quill writes the actual message, to the actual person, referencing the actual problem — and routes it to whoever owns the relationship.
And then the whole workforce stops and waits for one thing: you. Nothing reaches your customer until a human approves it. That limit is deliberate, and it is the reason this is safe to switch on.
Awaiting your approvalThe account renewed. More importantly, Revioli now knows something specific about your product: seats added without a first core action is an early loss signal here.
Every outcome makes it less generic. After a few months it isn't running a churn model — it's running yours, and that doesn't transfer to anyone else.
$4,900 / mo retainedYou just watched the save. Here are the same three weeks through the tools most teams already pay for.
MRR flat. Seats up 12 → 18. Every chart green, because everything a dashboard tracks lags the behaviour that predicts the loss. The account churns "out of nowhere" next quarter.
A composite number drifts to 71 — eighteen days later, off a template built for the average company. No cause, no owner, no next step. A yellow cell in a spreadsheet to argue about.
Flagged from workflow depth while every chart was still green. Cause named with sources, winnability judged, response written — waiting on one click from you.
The difference is not better charts. The work arrives finished.
You just watched four agents run one save, end to end. They run continuously, on every account at once — and every one of them stops at the same line: nothing reaches a customer without you.
Sweeps every relationship continuously and knows what "normal" looks like for each one — so it notices the quiet drift long before a lagging metric moves.
Reads the signals dashboards don't have — reply-time drift, workflow depth, integrations going quiet — and assembles the cause with every source attached.
Judges whether action can still change the outcome, and how much of the window is left. Tells you where to spend effort — and just as importantly, where not to.
Drafts the actual response to the actual person about the actual problem, routes it to whoever owns the relationship — then stops and waits for approval.
Raw signals arrive messy — usage, seats, tickets, invoices. Atlas sweeps your entire base continuously and turns the noise into one organised, living map — and it stays quiet unless something deserves you.
A wrapper forwards your question to someone else's model and forwards the answer back. Revioli runs a brain of its own — built from your systems, trained around your product, working around the clock. Three layers. You have already seen all three of them work.
Connected read-only to the systems you already run, Atlas keeps a living model of your business current every single day: your product, every account, the people inside them, and what healthy looks like here — not in some average company.
A company-specific decision engine — not a chatbot. It reads every account against your normal, tells ordinary wobble from real deterioration, and judges cause, timing and winnability. And it never overstates how sure it is.
Scout, Sleuth, Judge and Quill turn each call into work you can act on — evidence assembled, save written, routed to the right person. Around the clock, on every account at once, stopping at exactly one line: your approval.
Learns the workflows, personas and proof points that explain why customers stay and expand — in your product, not the average one.
Learns which signals matter for your product, segment and lifecycle stage — and which to ignore.
Tracks where every account truly stands:
realizing value · drifting · recoverable · critical · lost
Estimates when risk is rising and how fast the intervention window is closing — time, not just temperature.
Ranks the next move by urgency, revenue exposure, recovery potential and confidence — effort goes where it changes outcomes.
Saves, churns, contractions and false alarms all recalibrate future confidence and priority. Every miss makes it sharper.
The moat is not a better prompt. It is the growing map of which signals matter — and which actions change outcomes — in your product.
That map is built from your outcomes, belongs to your workspace, and transfers to no one.Anyone can rank your accounts by risk. The judgment that saves your team's quarter is knowing where effort still changes the outcome — and where it doesn't. Three accounts, same day. Click them.
One fixable cause — four seats stalled at setup. The champion still answers, and 19 days is enough runway. Effort spent here is likely to change the outcome.
What happens: Quill drafts the save to the right person. You approve, it sends, the outcome trains your model.
Their sponsor left in June, and a replacement tool is already live in their workspace. No reversible cause remains — outreach now would only spend your credibility.
What happens: No outreach drafted. Your team's week goes where it still works — and Revioli sets a win-back check for next cycle instead.
Reply times drifted this month — but usage matches their summer pattern from last year. Acting today would just be noise in their inbox.
What happens: No alert. The account is re-judged on every sweep — you hear the day this stops looking seasonal.
"Don't bother" is delivered with the same evidence and confidence as "act now." That discipline is what makes the flags believable.
The incumbents in this category sell you a data project — warehouse work, event instrumentation, a success-ops rollout. Six months later you have one generic health score nobody trusts. Revioli starts from the systems you already have.
Point Revioli at Stripe with a restricted key, or drop in two CSVs. No warehouse, no engineering ticket, no write access at any point.
A paragraph or a doc. Revioli reads it and proposes the signals that matter for what you actually sell, rather than a generic template.
Approve the signals, and decide what the agents may do alone, what needs your sign-off, and what always escalates. The only step that needs you.
Your first pass runs the same working session. From then on it runs continuously, whether or not anyone is logged in.
So here is exactly what it may do, what it may never do, and how you check afterwards.
Autonomous where authorized. Human-controlled where consequential.
Every action is attributable, reviewable and reversible — and Revioli does not guarantee churn prevention.No — a dashboard's last mile is a chart you still have to interpret. Revioli's last mile is a drafted, evidenced save sitting in your queue. You read it, you click, it sends.
A health score is one number, built from a template of the average company, with no cause and no next step. Revioli reads your product's own signals — workflow depth, champion pulse, integrations going quiet — names the cause with sources, judges whether the account is still winnable, and writes the response.
No. It starts from a read-only Stripe key or two CSV exports, the same afternoon. No event instrumentation project, no engineering ticket — and it never writes to your systems.
Never on its own. Every message is drafted for you and stops at your approval — that line is architectural, not a setting someone can flip.
It's useful on day one, starting from retention patterns that hold across B2B. From your first recorded outcomes it tunes to your product specifically — and what it learns from your data stays yours. It is never pooled into anyone else's model.
Connect a read-only source this afternoon and find out which account it is — while you can still do something about it.
Flat plans — not a per-customer bill · no implementation fee · see pricing
Revioli