One plain-English page, every Monday.
Fortitude AI Analyst watches your dashboards, your pipeline and your unit economics every day. It flags what changed, why it changed, and what to do next. Anomalies get raised the day they happen, not a month later in a quarterly review.
Before, and after.
The dashboards are open. Nobody reads them.
The team has ten dashboards, three spreadsheets and a monthly board pack. By the time someone spots the number that mattered, the month is over. Anomalies get explained after the damage. Meetings run on gut feel because nobody has time to read the truth.
- Ten dashboards, no clear priorities
- Anomalies get explained a month too late
- The board pack takes a week to write and nobody reads it in full
- Big decisions get made on the loudest voice, not the numbers
One page. What happened. What to do about it.
AI Analyst reads every source you already have, every day. Then it writes one Monday briefing in plain English: the three numbers that moved, why they moved, and the one action worth taking this week. Anomalies get raised the day they show up, in the channel you already use.
- One weekly page you will actually read
- Anomalies flagged the day they happen, not a month later
- Reads what you already have: your CRM, ad platforms, billing, product
- A single recommended action per week, not a list of fifty things
How the week actually runs.
- 01
Connect the sources
During Discovery, AI Analyst gets read-only access to the sources that already run the business. CRM, ad platforms, billing, product analytics, Sentinel.
- 02
Daily watch
Every day it checks the numbers that matter. If something breaks a threshold you agreed, it raises it in your channel that morning, not next month.
- 03
Monday briefing
Every Monday you get one page: the three numbers that moved, why, and one recommended action. In plain English.
- 04
Board pack
Once a month AI Analyst assembles the board pack from the same source of truth. No fresh spreadsheet gymnastics.
Reading and reporting runs on AI Autopilot from day one. Recommendations that change spend, targeting or pricing always queue for one-click approval by a named human, even after months of trust.
The work, in plain terms.
- Reads your CRM, ad platforms, billing and product analytics daily
- Watches Sentinel scores across the four AI engines
- Flags anomalies the day they happen, in the channel you already use
- Writes one Monday briefing: three numbers that moved, why, one action
- Assembles the monthly board pack from the same source of truth
- Investigates on demand: 'why did conversion drop last Thursday' in a paragraph
- Keeps a simple ledger of every recommendation and whether it paid off
What it typically repays.
Figures reflect how AI Analyst runs for us and for clients on the same rhythm. Every client sees their own baseline and thresholds in Discovery.
A paid Discovery, credited in full.
Every engagement starts with a £1,500 Department Discovery. Two calls with your finance and revenue leads, a written map of the numbers that actually run the business, and the thresholds worth being woken up for. Credited in full against your first four weeks.
- The five to ten numbers that actually run the business
- The thresholds worth an anomaly alert, and the ones worth ignoring
- The sources AI Analyst should read, and the ones to leave alone
- A sample Monday briefing on your own numbers, written before you commit
Then AI Analyst runs every day. The Monday briefing lands before your first meeting. Anomalies land the day they happen.
Ready to hire this department?
Book a Department Discovery. £1,500, credited against your first four weeks. If you never start, you keep the map.
What we will not pretend.
AI Analyst does not replace a CFO or a head of data. If a decision is genuinely complex, a human should still make it. What we replace is the drudgery: pulling numbers, chasing sources, writing the same board pack every month, and missing the anomaly that mattered because nobody had time to look.
Read one page. Know what happened.
Book a Department Discovery. £1,500, credited in full against your first four weeks of AI Analyst.
Book a Department Discovery →