Every usage dip diagnosed, not just detected
The Adoption Tracker does not stop at the graph. It finds who stopped, works out why, and takes the action the cause deserves: a fix, a nudge, or an honest question.
API usage down 38% · Ridgeline
Adoption TrackerRidgeline’s API usage just fell off a cliff. Finding out who stopped before deciding what to do about it.
Segmenting usage by team4sThe drop is entirely the data team. Every other team is steady, so this is not disengagement.
Checking recent tickets and changes3sThey migrated their warehouse last week and the integration’s credentials broke with it. This needs a fix, not a nudge.
Sending the updated setup guide1sBooking an enablement call2s
How it works
Usage down 38%Feature unused · 14 daysLogins dropped · MeridianCSM asks for a read
Setup guide sentEnablement call bookedDiagnosed flag to CSMAccount record updatedTriggered by usage movement
When an account’s usage moves past its normal range in your product analytics or CRM, the agent opens an investigation the same day.
Diagnoses before it acts
It segments the dip, checks it against the account’s own history and your release timeline, and decides whether the cause is a fix, a drift, or nothing at all.
Acts through your channels
Fixes and guides go to the affected users by email, enablement calls land on the calendar, and diagnosed flags reach the CSM in Slack.
Without Relevance
With Relevance
A dashboard shows usage down 38%. Someone notices it at the Monday review, a week late.
The agent catches the dip the day it starts and opens an investigation, not just an alert.
The alert says "usage down". Whether it is one team, one bug, or the whole account is someone’s afternoon to find out.
The dip gets segmented by team, user and feature until it has a cause: a broken integration, a departed user, a seasonal lull.
Every dip gets the same reminder email, including the ones your own release caused.
The response matches the diagnosis: a fix and an apology when the cause is ours, a nudge when users drifted, silence when the pattern is normal.
The summer slowdown triggers the same fire drill it triggered last year.
The agent checks the account’s own history first. A dip that matches last year’s seasonal pattern is noted, not escalated.
Adoption gets watched on the accounts big enough to have a named CSM.
Every account’s usage gets the same investigation the day it moves, across the whole book.
When the cause is unclear, the alert ships with a guessed explanation attached.
When the data cannot explain the dip, the agent says so, and hands the CSM the specific questions to ask instead of a fabricated cause.
Held to a quality bar, on every run
Every diagnosis is checked against eval test cases written for this exact job before any action fires. If a run fails the bar, it never ships.
Adoption TrackerPass rate · last 14 days
Sampling 2% of live runs · 96% passing this week
Train your agent like an employee
Onboard it with your playbooks and correct it in plain English. It learns the lesson for good, and nothing changes until you approve it.
Built for enterprise teams
Run agents on your real data with the access controls, audit trails, and residency guarantees enterprises require all built in.
Monitoring
Real-time visibility into every agent’s activity, performance, and cost.
RBAC
Control who can use, build, edit, and deploy agents.
Data residency
Multi-region deployment keeps your data within your required geography.
Version control
Full version history on every agent. Roll back to any previous state.
Audit logs
Every action, every decision, every tool call logged and exportable.
Human-in-the-loop
Set approval gates on any action or allow agents to ask questions.
SSO / SAML
Enterprise single sign-on with SAML 2.0. Centralize identity & access.
PII masking
Detect and redact personally identifiable information.
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia
"The key for us was how we can modularize industry knowledge and the best playbooks, and apply it."
Allen Roh
Senior Marketing Manager, Autodesk
"We're looking for every place where AI can allow sellers and customer success reps to be more engaged with customers."
Rob Giglio
Chief Customer Officer, Canva
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia
Team it up with more customer success agents
Deal won- 1Handoff brief sent
- 2Intro email sent
- Kickoff booked
Customer Transitioner
Hands new customers off from sales to success.
Onboarding Guide
Drives new customers through every setup step.
UpsellUpsell & Cross-Sell
Spots upsell and cross-sell potential per account.
Every agent you add shares one stack
These agents all run on one platform: one gateway, one router, one eval suite, one audit trail. Every agent after the first ships faster.
- Triggered by key events or signalslike Zapier
- Given access to contextlike Zep
- Connected to your appslike Composio
- Access to all LLMslike OpenRouter
- Performance evaluatedlike Braintrust
- No-code agent builderlike Dust.tt
- Coordinated into teamslike CrewAI
- Chained into multi-step processeslike n8n
- Kept alive through long-running worklike Temporal
- Traced at every step of every runlike Langfuse
Put the Adoption Tracker to work this quarter
We partner with enterprise teams to take this work off their plate. An agent built with you, proven against your quality bar, and live in weeks.