Signals in separate systems.
Orders, usage, support tickets and contract dates each sit with a different team.
Who is about to leave?
Every account watched for the signs that it is drifting, so the account team knows who may leave, why, and what to do while there is still time.
See it worked throughThey don’t say goodbye.
They just drift.
Customers rarely cancel out of the blue. Orders thin out, complaints go unanswered and the renewal date arrives with nobody watching.
Noticed at renewal.
The first sign of trouble is often the cancellation notice itself.
No reason given.
A list of accounts at risk doesn’t help unless it says why each one is drifting.
What the AI reads.
Every account read across orders, usage, support and contract, against how it behaved before.
In
- Orders and invoices
- Product usage
- Support tickets and calls
- Contracts and renewal dates
- Account notes and emails
- Survey responses
At work
- Understand Turns tickets, emails and notes into what each customer is unhappy about.
- Check Compares each account with its own history, not with an average.
- Anticipate Estimates how likely each account is to leave, and by when.
- Operate Briefs the account owner with the reasons and a suggested next step.
Out
Accounts at risk, each with its reasons and a next step.
Every account watched.
Every risk explained.
The account team sees which customers are drifting, what changed, and how long they have before the renewal.
5 accounts · 2 healthy · 2 drifting · 1 at high risk
| Account | Customer | Risk | Detail | Renewal |
|---|---|---|---|---|
| AC-1021 | Regional builders’ merchant | Healthy | Orders steady; usage up | Mar 2027 |
| AC-1034 | Hotel group | Drifting | Orders down 30% since July at 2 of its sites | Feb 2027 |
| AC-1047 | Logistics firm | High risk | Usage down 55%; 3 open invoicing tickets; new procurement lead | Dec 2026 |
| AC-1052 | Care home operator | Drifting | Survey score fell; asked about contract terms | Jan 2027 |
| AC-1068 | Food wholesaler | Healthy | New site added in September | Jun 2027 |
High risk
Usage down 55%; 3 open invoicing tickets; new procurement lead.
AC-1047 · Logistics firmDrifting
Orders down 30% since July at 2 of its sites.
AC-1034 · Hotel groupDrifting
Survey score fell; asked about contract terms.
AC-1052 · Care home operator
Illustrative example. Accounts, figures and dates are fictional.
Built for account teams.
The AI watches and explains. Your account owners decide what to do.
Every risk has its reasons.
The orders, tickets and emails behind each score sit beside it.
How Anticipate works ↗Measured against itself.
Each account is compared with its own history, so a small customer isn’t flagged for being small.
How Check works ↗Runs in your environment.
Customer and contract data stay inside your boundary.
Deployment options ↗Same records.
Other questions.
The documents and data behind this work answer other questions too.
Why are customers calling?
Call reasons
Find what drives calls, straight from the recordings.
See how →What actually happened with this complaint?
Customer complaints
Reconstruct what happened, and how it was handled.
See how →What should we have charged?
Revenue leakage
Find money that should have been charged.
See how →How much will we need next month?
Demand planning
Plan stock and capacity ahead of demand.
See how →Bring us a year of account history.
We’ll show you which customers were drifting before they left, and which ones are drifting now.
Talk to us →LondonDiscovery AI Limited · United Kingdom
HyderabadReDscvry Technology Private Limited · India
ChennaiReDscvry Technology Private Limited · India