Health & Risk

AI Customer Health Score

One health number per account, built from usage, support, billing and sentiment signals, updated on your schedule.

Ask three people on your team which accounts are at risk and you will get three different answers. This build combines usage, support, billing and sentiment into one health score per account, weighted the way your team already judges risk. Everyone looks at the same number, sees why it moved, and gets an alert when an account drops sharply.

  • One health score per account, weighted your way
  • A breakdown showing which signals moved each score
  • Alerts when an account's health drops sharply
$3,500 20–30 working days Optional maintenance $249/mo
Paper-collage target ring, funnel and scale balance, standing in for signals combined into one account health score.

What it is

AI Customer Health Score combines usage, support history, billing behavior and sentiment signals into one health number per account, weighted the way your team already thinks about risk. It reports to the one channel you choose and alerts you when a score moves sharply. It is checked against your own history before launch.

Why businesses buy it

Without a shared score, risk lives in individual heads and spreadsheets, and accounts fall through the gaps when someone is on leave or changes role. Teams end up reacting to cancellations instead of preventing them. This build gives everyone one number per account, checked against your own history before launch, so the score earns trust from day one. The written scope sets out the data sources, the metrics and the alerts before you order.

Problems this solves

Every CSM judges account health in a different way

AI Customer Health Score combines usage, support, billing and sentiment into one number per account. It is weighted the way your team already thinks about risk, so everyone reads it alike.

Risk signals sit scattered across several tools

It reads up to three sources read-only and brings their signals into one dashboard or report. Leaders see the whole book of accounts in one place.

A sharp fall in account health goes unseen for weeks

Up to five alerts tell you when a score moves sharply. The model is checked against three months of your history before launch, so alerts reflect your real patterns.

Scope card SKU UPM-C0108

AI Customer Health Score

Everything this build includes, written down before you pay. Choose a delivery speed and any add-ons, then add it to your cart.

$3,500 one-time build price
1. Choose your delivery speed

Delivery times are in working days (Monday to Friday) and start once your intake is complete. They can extend because of national or public holidays, technical issues outside our control (such as platform outages, third-party changes, account approvals or access delays), or natural disasters and other events beyond our control. If a delay happens, we tell you in writing with a new date.

What is included

Channel
1 delivery channel (email, Slack or a web dashboard)
Integrations
Up to 3 read-only data sources
Knowledge
Up to 25 defined metrics or recurring questions
Workflows
1 dashboard or recurring report plus up to 5 alerts
Languages
1
Testing
Results checked against 3 months of your historical data
Revisions
2 rounds
Handoff
1 × 60-min handoff session (recorded)
Support
30 days after launch

A good fit if

Different people currently judge account health differently, using whichever signal they happen to check, and you want one number everyone agrees on.
You already have a rough sense of which signals matter, such as login frequency, ticket volume or payment history, but nobody has combined them into a single score.
You want a recurring report or live dashboard showing health by account, sent to email, Slack or the web, with alerts when a score drops sharply.
You can provide read-only access to your product usage, support and billing data, your own weighting of what matters, and at least three months of historical data.

Not the right fit if

You need the score to trigger actions on the account, not just report a number. See AI Customer Success Agent, which monitors accounts and runs success playbooks.
You specifically need the reasons behind a low score and a recommended save action, not just the number itself. See AI Customer Risk Agent, which flags accounts showing churn signals and recommends save actions.
You want retention plays run automatically against at-risk accounts, not a score for reporting. See AI Churn Prevention, which predicts churn risk and runs targeted retention workflows.
You need more than three read-only data sources, more than twenty-five weighted signals, or a live write-back into your CRM. Add a note at checkout for a Change Quote, or use our Custom AI enquiry form for larger projects.

How it works

  1. We connect your signals. HubSpot, Salesforce, Zendesk, Stripe, Mixpanel or Amplitude, using read-only access so nothing in your live systems is touched.
  2. We agree the weighting with you. Usage, support volume, billing behavior and sentiment, up to twenty-five signals, combined the way your team already thinks about account risk.
  3. We check the score against your history. Three months of your own data run through the model before launch, so accounts you already know are healthy or at risk score the way you expect.
  4. The dashboard or recurring report goes live, delivered to the one channel you chose, showing every account's score in one view.
  5. Alerts fire when a score moves sharply. Up to five thresholds you define, so a fast decline reaches you before it shows up in a quarterly review.
  6. You review the scoring and we hand it off, with two rounds of changes and a recorded sixty-minute session for your team.

What you provide within 72 hours

Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.

  • Read-only access to your product usage, support and billing data sources.
  • Your own weighting of which signals matter most for account health.
  • At least three months of historical data for us to check the score against.
  • The report's recipients and the delivery channel you want to use.
  • Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
  • Your business information (company basics, hours and brand voice), shared during intake.
  • One decision-maker who can approve the scoring weights and sign off on the report.
  • An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.

Timeline

Start Intake verified, scoring weights agreed.
Weeks 1–2 Data connections built, scoring model drafted.
Week 3 Dashboard populated with your live account scores.
Weeks 3–4 Scores checked against three months of your historical data.
Week 4 Your review and two rounds of changes.
Go-live Live, recorded handoff session, support starts.
Delivery options, in working days (Monday to Friday) from completed intake. They can extend because of national or public holidays, technical issues outside our control (such as platform outages, third-party changes, account approvals or access delays), or natural disasters and other events beyond our control. If a delay happens, we tell you in writing with a new date.
OptionDelivery timePrice
Standard20–30 working days$3,500
Express15–25 working days$4,100
Rush10–20 working days$4,750

What you receive at handover

  • AI Customer Health Score configured and deployed, scoring every account
  • Workflow, prompt and guardrail configuration with your chosen weightings
  • Read-only connections to up to three data sources
  • One dashboard or recurring report in your chosen channel, plus up to five alerts
  • A test report checking scores against three months of your history
  • An admin guide, the recorded 60-minute handoff session and 30 days of post-launch support

Expected benefits and how to measure them

  • Gives your team one shared view of which accounts need attention.
  • Can help you act on a falling account before renewal is at stake.
Renewal rate by health band
After two renewal cycles, compare renewals for accounts scored healthy and at risk to see if the score holds up.
Time spent preparing account reviews
Ask CSMs to log prep time for two weeks before launch and two weeks after.
Gross renewal rate
Compare the two quarters after launch with the same quarters last year, using billing data.

Before you start: Write down how your team rates account health today and your recent renewal rate. List the accounts you consider at risk now.

These are things to track, not promised results. Outcomes depend on your data, your team and your market.

Running costs

The build price is one-time. What it costs to keep the score running afterwards is paid directly in your own accounts, mainly AI model usage with a little hosting or scheduler cost on top, typically $20 to $150 a month.

Build-time and test-time AI usage is billed the same way, to your own accounts, so every provider relationship stays yours. Nothing routes through us.

Ask about running costs

Custom requirements

Need more data sources, more weighted signals, or a live write-back into your CRM? Note it at checkout and we return a written Change Quote inside two working days; work on it starts only once you accept. Your original order keeps moving on its normal timeline regardless. Larger or bespoke projects go through the Custom AI request form instead.

Request a custom version

Keep it running

Monthly maintenance covers monitoring, fixes, updates, a health report and change hours each month, enough for a reweighted signal, a shifted alert threshold or a redesigned chart. The hours scale with your build. Maintenance starts once the thirty days of support end, bills monthly, and cancels any month you like.

$249/mo (the minimum fee, includes 2 change hours)

Optional. Starts after the post-launch support period. Cancel any month.

How maintenance works

How this compares

Do it yourself with a SaaS toolHire a custom agencyUpmark Labs
Price A CS platform's health score is bundled into a per-seat fee you already pay A custom agency quotes after discovery calls Ours is one fixed price, shown before you buy
Weighting A platform's score uses a fixed, generic weighting model An agency agrees scope during the project Ours is weighted the way your own team judges risk
Delivery A platform's score is available immediately but rarely trusted at first An agency usually takes several weeks, set per project Ours has a fixed delivery time shown before you buy, with faster options
Validation A platform's score is rarely checked against your own known accounts An agency build depends on what was agreed Ours is checked against three months of your real history
Alerts A platform typically shows a score you have to remember to check An agency build depends on what was agreed Ours alerts on up to five thresholds you choose

Questions about this product

How much does AI Customer Health Score cost?

Each delivery speed has one fixed price. The price panel shows standard, express and rush side by side before you pay, and the cart confirms your delivery date. The price is fixed once your scoring weights and data sources are agreed, with no per-account pricing to track. Running costs of roughly $20 to $150 a month are separate and paid to your own providers.

What does AI Customer Health Score cost to run each month?

Roughly $20 to $150 a month, covering AI model usage and the hosting or scheduler that keeps scores refreshing on schedule. You pay that directly to your own providers, in your own accounts. Monthly maintenance is optional if you want us managing changes.

How fast can AI Customer Health Score go live?

The clock starts once your intake is complete and verified. Your fixed delivery date for standard, express or rush is shown before you buy, and faster speeds keep the same scope, testing and handoff. Most of the time goes into agreeing the scoring weights and checking them against three months of history.

What access does AI Customer Health Score need to my systems?

Read-only access to your product usage, support and billing data, shared by adding our team as a user or creating a key you control, never by email. Nothing in your live systems is changed. We also need at least three months of historical data so the score can be checked against accounts you already know.

Can I change the scoring weights after launch?

Yes. Two rounds of changes are included before launch, based on the test report. After that, a reweighted signal or a moved alert threshold fits inside the monthly change hours that come with maintenance. A new data source or extra signal is a separate add-on.

Does AI Customer Health Score cost anything once the 30 days of support end?

No. The 30 days of post-launch support are included in the build price with nothing extra to pay. After that, monthly maintenance is optional, not required, and you can cancel it in any month once you trust the score without further tuning.

Who owns the AI Customer Health Score setup once it is built?

You do. It runs in your own CRM, helpdesk, billing and AI provider accounts, so nothing is tied to us to keep it working. If you ever move away from Upmark Labs, the scoring model and every connection stay in your accounts, not ours, exactly as delivered.

Get everyone looking at the same health number.

Order AI Customer Health Score and every account gets one score your whole team trusts, weighted your way, with alerts the moment health drops sharply.

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Paper speech bubbles with a brass gauge laid across and a green tag tied on, showing conversations turned into a health tag.
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A filing drawer with a brass gauge on its front and a green flag on one card, showing an account flagged for its owner.
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Record cards with a brass gauge clipped on top and arrows curling back in, showing a score written onto the CRM record.
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Staging copy for testing. Not the live site; payments are in PayPal sandbox and every email goes to the team.