Monitoring & Forecasting
AI Forecasting Assistant
Forecasts demand, revenue or volume with explained assumptions.
Monitoring & Forecasting
AI KPI Monitor
Your key metrics watched every day, with an alert and a plain explanation the moment one crosses your threshold.
The numbers that matter most often slip without anyone noticing until the month-end report. This monitor watches the metrics you define every day, checks them against the thresholds you set, and alerts you the moment one is crossed. Each alert comes with a plain-language explanation of what moved and why it might matter, by email or Slack.
- Your key metrics checked against your thresholds every day
- Alerts arrive the moment a threshold is crossed
- Each alert explains what moved in plain language
$5,500
20–30 working days
Optional maintenance $275/mo
What it is
AI KPI Monitor watches the specific metrics you define, checks them daily against the thresholds you set, and sends an alert with a plain-language explanation the moment one is breached. Alerts arrive by email or Slack, and connections to your data are read-only.
Why businesses buy it
A drop in conversion, a spike in refunds or a slide in margin costs more the longer it goes unnoticed. Most teams only find out at the next report, when the damage is done. This monitor checks your chosen numbers daily and raises the alarm early, with an explanation that saves the first hour of digging. The written scope sets the sources, metrics, thresholds and checks against your history before you order.
Problems this solves
A key metric slips and nobody notices until month end
The monitor checks the metrics you define every day against thresholds you set. When one is breached, an alert goes out by email or Slack straight away.
Alerts from other tools say what changed but not why
Each alert comes with a plain-language explanation of the breach. Whoever receives it can understand the issue without opening a report first. Connections to your data stay read-only.
Managers waste time checking dashboards that are usually fine
Up to five alerts cover the metrics that matter most, out of up to twenty-five defined. Managers can stop routine checking and wait for a reason to look.
A good fit if
You already know which numbers matter, such as daily revenue, support backlog or churn rate, and want them watched without checking manually.
You want to set your own thresholds, such as 'alert if revenue drops below $X', rather than rely on generic anomaly detection.
You already keep data in tools such as Google Sheets, BigQuery, PostgreSQL or Google Analytics 4, and can grant read-only access.
You want up to five alerts delivered to one channel, such as Slack or email, the moment a threshold is crossed.
Not the right fit if
You do not have fixed thresholds and want unusual patterns caught automatically instead. See AI Anomaly Detection, which flags unusual patterns without a preset rule.
You want projections of future values, not alerts on current ones. See AI Forecasting Assistant, which forecasts demand, revenue or volume.
You want ad-hoc answers to new questions, not standing alerts on fixed metrics. See AI Data Analyst Agent.
You need a full dashboard covering many metrics at once, not five alerts on a handful of them. See AI Business Intelligence Dashboard.
How it works
- You name the metrics to watch and the threshold for each, such as 'alert if daily active users drop below 500'.
- The monitor checks each metric daily against your connected sources, such as Google Analytics 4, BigQuery or a database.
- When a threshold is crossed, an alert is sent to the channel you chose, with a plain-language explanation of what moved and by how much.
- Thresholds are checked against 3 months of your historical data before launch, so alerts fire on real breaches, not normal day-to-day variation.
- Up to five alerts run at once, covering the metrics you decided matter most.
- You review the first weeks of alerts with us and tune the thresholds before the 30-day support window closes.
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 each data source the monitored metrics come from.
- Your own threshold for each metric, so alerts fire on the numbers that matter to you.
- At least 3 months of historical data, so thresholds can be checked before launch.
- The list of recipients and the channel you want alerts delivered to.
- 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 confirm the thresholds before launch.
- 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 confirmed and priority metrics and thresholds agreed.
Weeks 1–2
Data sources connected and threshold monitoring built.
Week 3
Alert delivery and escalation channel configured.
Weeks 3–4
Thresholds tested against 3 months of your historical data.
Week 4
Your review and two rounds of changes to thresholds.
Go-live
Live, handover report sent, 30 days of support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $5,500 |
| Express | 15–25 working days | $6,450 |
| Rush | 10–20 working days | $7,450 |
What you receive at handover
- The AI KPI monitor, running daily checks and sending alerts by email or Slack
- Read-only connections to up to three data sources
- Your defined metrics and thresholds, with one dashboard or recurring report and up to five alerts
- A test report checking alerts against three months of your historical data
- An admin guide and the written handover report
- 30 days of post-launch support
Expected benefits and how to measure them
- Can catch slipping metrics while there is still time to respond
- Helps managers spend less time on routine checking
- Makes it clear why an alert was raised
- Time from breach to awareness
- Review past incidents to see how late issues were spotted. Compare with alert times after launch.
- Alert usefulness
- Ask recipients to mark each alert as useful or noise for the first months.
- Time spent on routine checks
- Ask managers to estimate weekly checking time before launch and again a month later.
Before you start: List the metrics to watch, their normal ranges and recent misses. Note how often managers check them today.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build itself is a one-time payment, shown before you buy. Running the monitor costs roughly $20 to $150 a month in your own accounts, covering AI model usage and hosting or scheduler fees, depending on how many metrics are checked and how often.
AI usage during the build and testing is billed to your own accounts too, so every provider relationship stays in your name.
Ask about running costsCustom requirements
If you need more than five alerts or more than 3 data sources, add a note at checkout for a written Change Quote. Your order still runs on its original delivery date. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
We recommend monthly maintenance for this build. It covers monitoring, fixes and monthly hours for new thresholds, an extra alert or a revised metric, and the change hours scale with the build. Maintenance starts after the included support period and can be cancelled any month.
$275/mo (5% of the build price a month, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A monitoring tool charges per metric or per alert channel | An agency quotes per dashboard or monitoring project | Ours is one fixed price, shown before you buy |
| Delivery | A monitoring tool is instant to sign up but slow to tune to your numbers | An agency build usually takes several weeks | Ours has a fixed delivery time shown before you buy, with faster options |
| Thresholds | A monitoring tool ships generic default thresholds | An agency sets thresholds once, in a workshop | Ours checks your thresholds against 3 months of real data before launch |
| Explanation | A monitoring tool sends a bare number in an alert | An agency build depends on what was agreed | Ours explains what moved and by how much in plain language |
Questions about this product
What does the AI KPI Monitor price include?
One fixed price, agreed before work starts, covers up to three read-only data sources, up to 25 defined metrics, up to five alerts on one delivery channel and threshold checks against three months of history. Faster delivery options are shown in the price panel before you order, and there are no other build fees.
How many KPIs can the AI KPI Monitor watch?
Up to 25 defined metrics can be tracked, with up to five of them set up as active alerts on your chosen channel. Which five matter most is agreed during intake, and can be changed later through maintenance or a Change Quote.
How long does the AI KPI Monitor take to launch?
The standard, Express and Rush delivery times are all shown in the price panel before you order, and the clock starts once your intake is complete. Delays only happen when data access or thresholds arrive late, which moves delivery by three working days per day of delay.
How does the AI KPI Monitor set its alert thresholds?
From the thresholds you define during intake, checked against 3 months of your historical data before launch so an alert reflects a real breach rather than normal daily movement. You can adjust any threshold afterwards through maintenance or a Change Quote.
How much does the AI KPI Monitor cost to run each month?
Roughly $20 to $150 a month in your own accounts, covering AI model usage and hosting or scheduler fees. The figure depends on how many metrics are checked and how frequently. You pay these providers directly, with no markup from us.
Can the AI KPI Monitor add a sixth alert later?
Yes, as an add-on. A sixth alert or a fourth data source is quoted as a Change Quote of your request. Adjusting an existing threshold fits inside the monthly change hours that come with maintenance instead. The quote is sent in writing before any extra work starts.
Who owns the AI KPI Monitor's alert configuration?
You do. The thresholds, connections and alert routing run in your own accounts, on your own data. If maintenance lapses, the monitor keeps checking and alerting; you lose the monthly monitoring and included change hours, not the build. While active, those hours cover new thresholds, an extra alert or a revised metric.
Know the moment a number you care about crosses the line.
Order the AI KPI Monitor and your key thresholds are watched every day, with clear alerts when something moves. The scope above is what you get, in writing, before you pay.
Works well with
Monitoring & Forecasting
AI Anomaly Detection
Detects anomalies in transactions, traffic or operations data.