Agents / The Analyst
Every insight arrives with a recommended action
The Analyst watches how your business is actually running and comes to you with findings and explained recommendations: the business gaps nobody has spotted, the revenue you are leaving on the table, and the cost you are carrying for no reason.
Works across every system AIchieve is connected to. No queries to write, no dashboards to build.
Monday 06:02 · Analyst reached out
Business signals
4 systems · live
Nobody finds the £86k. There is never time to go looking for it.
Finance teams are not short of data. They are short of the hours it takes to interrogate it, every month, across every system, while the close is running.
You find out in the pack
A problem that started in March shows up in the April board pack. By then it has had six weeks to compound and the conversation is about explaining it, not fixing it.
Departments disagree quietly
Sales is forecasting one number, finance another, and nobody reconciles them until someone notices the gap in a meeting. Usually the wrong meeting.
Nobody knows if it is normal
Margin is down 4 points. Is that the market, the mix, or a problem? Without a comparison, every number is just a number.
Four jobs, running continuously in the background
Not a chatbot waiting for a prompt. A standing analyst with access to every system you have connected.
Watches the business, not just the ledger
Sales, operations, supply, HR and finance, checked continuously rather than at period end. The Analyst is looking at cost per unit, pipeline coverage, headcount and vendor spend at the same time, because that is where the story usually is.
Freight cost per unit has moved for three consecutive months. Two more and it breaches your margin floor.
Continuous monitoring · 4 systems
1,284
Signals scanned today
3
Flagged for attention
1,281
Cleared automatically
Catches it while it is still cheap to fix
An 18% cost increase in one region is a rounding error in month one and a margin problem by month six. The Analyst flags the direction of travel and puts a number on where it ends up if nothing changes.
Detected in week 2 of the trend. Cost of waiting until month end: £58k.
Anomaly · Freight cost per unit
Finds where two departments have quietly stopped agreeing
Sales forecasts revenue. Finance forecasts revenue. Operations plans capacity against a third number. The Analyst compares them, quantifies the gap, and names which assumption is doing the damage.
Sales £4.92M. Finance £4.71M. The difference is entirely KSA ramp timing.
Forecast alignment · Q3
Driver · KSA ramp timing
Findings and explained recommendations, not just numbers
Every finding arrives with a recommended action, the expected impact, the reasoning behind it, and a line back to the transactions it was built from. Three things it is looking for: business gaps nobody owns, revenue you are missing, and cost you are carrying unnecessarily.
Re route Benelux volume via the Rotterdam carrier already used in APAC. Modelled at +2.6 pts within one quarter.
Recommendation · Traceable
412 freight invoices · SAP
Carrier rate card · uploaded
Volume by lane · ERP
Sector benchmark · external
Drill to source rows →
Nothing to configure. It starts working when your data lands.
Connect
Plug in your source systems using our prebuilt connectors. No integration build, no middleware, no IT project. Your existing spreadsheet logic and definitions come across with it.
Learn what normal looks like
It builds a baseline from your own history, by entity and by region, so a flag means something unusual for you rather than unusual in general.
Watch and compare
Every refresh is checked against that baseline, against plan, and against your market. Most signals clear silently.
Come to you
When something matters, it arrives where you already work. In AIchieve, by email, or on WhatsApp, with the recommendation attached.
You are allowed to not trust it yet
Every finance team we talk to asks the same two questions about AI, and both are the right questions to ask. So the Analyst is built to answer them before you have to.
Read how traceability works- Every number is traceable. Source system, transaction, and the calculation applied. Drill from any finding to the underlying rows.
- It shows confidence, not certainty. Where sources disagree or data is thin, the Analyst says so rather than picking a number.
- Every recommendation is explained. You see the reasoning, the drivers behind it, the expected impact and the assumptions used. Nothing is posted or changed until a person accepts it.
- Enterprise security by default. Encrypted in transit and at rest, single tenant isolation, role based access down to report level, full audit logging, UK and KSA data residency, and aligned with GDPR and Saudi PDPL. Your data is never used to train shared models.
The same finding matters differently depending on your seat
Walk into the board meeting already briefed
You know what moved, why, and what you are recommending before anyone asks. The surprises happen in the Analyst's feed, not in the room.
Get the month back that variance analysis takes
The commentary is drafted, the drivers are isolated, and the cross checks are done. Your job becomes reviewing judgement rather than reconstructing it.
Spend your hours on the analysis, not the preparation
Pulling data, reconciling systems and rebuilding the same schedules is where the week goes. The Analyst takes that off you so the time goes into interpretation, challenge and the recommendation itself, which is the part that actually carries value.
The Analyst stands on its own. It goes further with two more.
You can run the Analyst by itself and get value from day one. Add the other two and a finding becomes a rebuilt model or a re run planwithout leaving AIchieve.
The Modeler
Turns the spreadsheet your team already trusts into a live model connected to your systems. It builds the foundation the Analyst reads.
Meet The ModelerThe Planner
Takes a finding and turns it into a plan. Change a driver and it regenerates the P&L, balance sheet and cash flow across every entity.
Meet The PlannerWhat finance teams ask us
Is this just alerts with a nicer name?
An alert tells you a threshold was crossed. The Analyst tells you which driver moved, how it compares to your own history and your market, what it costs if nothing changes, and what it recommends. Then it shows you the rows. Thresholds are the easy part.
How does it know what is unusual for our business?
It builds a baseline from your history, entity by entity, using the definitions the Modeler learned from your own spreadsheet. Seasonality in your business is normal in your baseline, not a monthly false alarm.
Will it flood us with findings?
Most signals clear silently. Beyond that, every user sets their own thresholds for what is worth being told about, for example flag month on month revenue below 5%, gross margin moving more than 2 points, or any single cost line up more than 10%. You decide what material means for your seat, so a typical week produces a handful of findings rather than a feed to manage.
Where does the market benchmark come from?
External sector data, matched to your industry and size band. Where we do not have a credible comparison, the Analyst benchmarks internally across your entities and regions and tells you which it used.
Does it replace our FP&A analyst?
No, and we would be nervous selling you something that claimed to. It removes the preparation, not the judgement. Every recommendation needs a person to accept it, and the interesting half of the job is the half it hands to you.
What does it need from us to start?
A connection to your source systems and the workbook you already plan in. There is no configuration phase and no implementation project. Days, not quarters.
See what the Analyst finds in your numbers
Twenty minutes, your data, and a real finding you have not seen yet. If it does not find anything, that is a useful answer too.