Business Rhythm
AI Executive Briefing
Prepares concise leadership briefings on business, market and team signals.
Business Rhythm
AI Decision Support
A specific business question answered with options, the data behind them and the risks of each, not just a raw dashboard.
Big decisions often get made on gut feel because pulling the numbers together takes too long. AI Decision Support takes a specific question you are weighing, such as where to cut spend or which plan protects margin, and returns the realistic options, the data behind each and the risks of choosing it. It works from your own connected data, and the decision stays with you.
- Options laid out with the data behind each
- Risks and assumptions stated alongside every option
- Answers drawn from your own connected business data
$3,900
20–30 working days
Optional maintenance $249/mo
What it is
AI Decision Support takes a specific question leadership is weighing, such as where to cut spend or which plan protects margin, and returns the options, the data behind each, and the risk of choosing it. It uses the same connected data as your recurring reports.
Why businesses buy it
When leadership faces a real choice, someone usually spends an afternoon or more building a spreadsheet, and the analysis still depends on who built it. Decisions get delayed, or made without the evidence. This build prepares that analysis consistently from your connected sources, so options, data and risks arrive in a format you can compare and question. It is checked against three months of your own history before launch. The Scope Card sets the sources, decision types and metrics in writing before you order, so nothing about the scope is left to guesswork.
Problems this solves
Big decisions are made on gut feel and partial figures
You pose a specific question, such as where to cut spend, and get back the options with the data behind each. The connected data is the same as your recurring reports.
The risks of each option are discussed but never written down
Every option is returned with the risk of choosing it alongside the supporting data. Leadership can compare trade-offs side by side rather than from memory.
Pulling data for a one-off decision takes a week
Up to three read-only sources are already connected and checked against your history. A new question can be answered from that data without a separate analysis project.
A good fit if
Leadership regularly asks 'what should we do about X' questions that need real data behind them, not just a gut call.
You already have data sources that could answer those questions, but pulling the analysis together each time takes someone's whole afternoon.
You want the risks and trade-offs of each option laid out alongside the recommendation, not just a single answer.
You have at least 3 months of historical data so the analysis can be checked for accuracy before launch.
Not the right fit if
You want a recurring daily or weekly status update rather than answers to specific open questions. See AI Daily Operations Agent, or AI Weekly Business Review.
You want a short, scheduled leadership summary rather than on-demand analysis of a particular decision. See AI Executive Briefing.
You want HR-specific metrics like headcount and attrition rather than general business decisions. See AI HR Analytics.
You need more than 3 read-only data sources or more than 25 tracked metrics feeding the analysis. Add a note at checkout and we quote the extra scope, or start from our Custom AI enquiry form.
How it works
- Read-only access is connected to up to 3 of your data sources, such as your CRM, financial reporting tool and project or operations data.
- Your key metrics and recurring decision types are defined up front, up to 25 in total, so the tool knows what data maps to which kind of question.
- You submit a specific question through the delivery channel you chose, such as 'should we shift budget from campaign A to campaign B next quarter.'
- The tool pulls the relevant data, lays out the realistic options, and attaches the data and the risk of each option rather than a single unexplained answer.
- Analysis is checked against 3 months of your historical data during testing, so the reasoning holds up against outcomes you already know.
- Up to 5 alerts can also flag when a tracked metric crosses a threshold that would change the answer to a standing question, prompting a fresh look.
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 relevant to the decisions you want support on, such as your CRM or financial reporting.
- Your definitions for the metrics and the kinds of decisions you want the tool to help with.
- At least 3 months of historical data to check the analysis against.
- The report recipients and the delivery channel, whether that is email, Slack or a dashboard.
- A few real past decisions and their outcomes, so the tool learns what a good answer looks like for your business.
- 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 metric definitions and keep the build moving.
- 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 and your data sources, metric definitions and decision types confirmed.
Weeks 1–2
Metric calculations and the options-and-risk analysis structure are built.
Week 3
Your read-only data sources are connected and alert thresholds are configured.
Weeks 3–4
Analysis is checked against 3 months of your historical data for accuracy.
Week 4
Your review and two rounds of changes to analysis depth, framing or alerts.
Go-live
Live, recorded handoff session, support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $3,900 |
| Express | 15–25 working days | $4,600 |
| Rush | 10–20 working days | $5,250 |
What you receive at handover
- AI Decision Support connected read-only to up to three data sources
- Option analyses with supporting data and risks, delivered by email, Slack or web dashboard
- Up to 25 defined metrics or recurring questions and up to five alerts
- Test report checked against three months of your historical data
- Admin guide and a recorded handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can make leadership decisions better informed
- Helps record the reasoning behind each choice
- Makes it quicker to get data for a one-off question
- Time from question to decision-ready analysis
- Log how long analysis took for recent decisions before launch, then for each new question after.
- Decisions with documented options and risks
- Count leadership decisions each quarter that have a written options analysis attached.
- Outcome review of past decisions
- Revisit decisions a quarter later and note whether the risks flagged turned out to matter.
Before you start: List recent leadership decisions and how long their data took to gather. Note which had a written comparison of options.
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. Running it afterwards is billed in your own accounts and typically runs ~$20-150/month (AI model usage + hosting/scheduler), depending on how many questions you submit and how many sources feed each one.
AI usage during the build and testing is also billed to your accounts, so you keep ownership of every provider relationship. Nothing runs through us.
Ask about running costsCustom requirements
If you need something outside the Scope Card, add a note at checkout. You get a written Change Quote, and that work only starts once you accept it. Your original order runs on its normal timeline either way. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes, updates, a health report and change hours for things such as new decision types, updated metric definitions or an extra alert. It starts after the 30 days of included support, bills monthly, and can be cancelled any month.
$249/mo (the minimum fee, 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 BI or analytics platform charges a monthly fee and still leaves the analysis to you | A strategy consultancy bills a project fee per decision reviewed | Ours is one fixed price, shown on this page before you buy |
| Scope | A BI platform gives you charts, not a recommendation with risks attached | A consultancy's scope depends on the engagement agreed | Ours is written on the Scope Card before purchase |
| Delivery | A BI platform is live immediately but still needs someone to interpret it | A consultancy usually takes weeks per decision cycle | Ours has a fixed delivery time shown before you buy, with faster options |
| Answer format | A BI platform returns data; the options and risk trade-offs are still on you | An agency build depends on what was agreed and formatted | Ours lays out options, data and risk together for each question |
Questions about this product
How much does AI Decision Support cost to launch?
The launch price for each delivery speed is shown in the panel on this page. Every speed delivers the same Scope Card: up to three read-only data sources, up to 25 metrics, the decision types you define, testing against three months of your history and two rounds of changes. Running it afterwards costs roughly $20 to $150 a month in AI usage and hosting, paid in your own accounts.
How is this different from AI Executive Briefing or AI Weekly Business Review?
Those two are recurring documents delivered on a schedule, covering metrics and updates. AI Decision Support instead answers a specific open question you submit, such as whether to shift budget between two options, and returns the data and risk of each choice. It is priced higher because it handles a broader range of ad-hoc analysis.
Does it make the final decision for us?
No. It lays out the options, the supporting data and the risk of each one, but the decision itself always stays with your team. Think of it as preparing the analysis a person would otherwise spend an afternoon building, not as a system that decides on your behalf.
What kinds of questions can we ask it?
Questions tied to the data sources and decision types you define during setup, up to 25 metrics across up to 3 connected sources, such as budget allocation, resourcing trade-offs or which of two plans better protects a specific outcome. Questions outside that defined scope are covered separately through monthly maintenance or a Change Quote.
How much of our team's time does setting up AI Decision Support take?
Expect to spend one to two hours defining metrics, decision types and gathering historical data inside the 72-hour intake window. After that, expect around an hour reviewing analysis checked against 3 months of your data, plus the 60-minute recorded handoff session before launch.
Can we add new decision types or data sources later?
Adjusting existing decision types or metric definitions fits inside the monthly change hours that come with maintenance. Adding a fourth data source or going past 25 tracked metrics is a defined add-on, quoted and agreed before that work starts. Maintenance also covers monitoring, fixes and a monthly health report, and can be cancelled any month.
How reliable is the analysis behind each recommendation?
It is checked against 3 months of your historical data during testing, comparing its reasoning against outcomes you already know, and you get two rounds of changes before launch to refine how much depth and evidence each answer includes. It states its data sources and assumptions alongside every option.
What happens once the 30 days of decision-support access end?
You can move to monthly maintenance, or stop there with a fully working tool and no ongoing commitment. Either way, the metric definitions, decision-type logic and delivery schedule remain yours and keep running exactly as tested. Maintenance adds monitoring, fixes, a monthly health report and change hours for new decision types or an extra alert.
Get the analysis before the meeting, not during it.
Order AI Decision Support and it starts answering real business questions on a fixed delivery date. The scope above is what you get, in writing, before you pay.
Works well with
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