Zencount AI

Ask your numbers anything.

An analyst that lives inside your model — answering from live plan, actuals and line items, showing exactly what it read, and writing nothing without your confirm.

Answers from the live modelWrites nothing without confirmRuns under your RLS identity
Runway · downside24.1 months
Scenario draftsource=ai · awaiting confirm
Routine · 08:002 findings reported
Zencount AI · Acme GroupYour live data
Why is Q3 OpEx over budget?
read_grid · OpEx Q3compare · Budget 2026
+€18K over budget — the driver is Paid Acquisition (+€19K). Want me to show the 14 line items behind it?
What it does

Four jobs, off your desk.

Not a chatbot bolted onto a dashboard. Every answer is built from tool calls against your live data — numbers are never invented.

01

Answers with receipts

It aggregates the real entries, drills the actual line items and cites versions and periods. “Explain” on a grid cell hands over exactly your context — and the tool chips show what it read.

02

Scenarios you confirm

Describe the downside in one sentence. The draft arrives as a preview proposal — nothing is written until your confirm, and confirmed entries carry source=ai forever.

03

Routines on a schedule

Daily, weekly or monthly reviews with “run now” — created straight from the chat. Notified only when something stands out, in the bell and by email.

04

Built for the big questions

Investor prep, a full plan review, where-to-save — broad tasks fan out into parallel deep-dive sub-analysts whose reports merge into one briefing.

Your monthly review now runs itself

Reviews on schedule, findings in your inbox.

Phrase it once — “check actuals vs. budget on the 1st at 08:00, report anything over plan” — and the routine runs. You’re only notified when something stands out, and every run keeps a full transcript.

Daily, weekly or monthly — created straight from the chat.
Notified only when something stands out — in the bell and by email.
Every run keeps a full transcript.
Monthly variance checkMonthly · 1st · 08:00
Paid Acquisition+€19K
Hosting & infra−11K
Runway+0.6 mo
2 findings reported
Get a feel for it

“What if we hire faster and spend more?”

In the product you don’t drag sliders — you describe the change in chat, Zencount AI drafts the scenario version, and you confirm it into your model.

Assumptions
New revenue / month€38K
Headcount at year-end42
Marketing as % of revenue28%
In the product you describe this in one sentence in chat — Zencount AI drafts the version, you confirm.
Resultvs. base
Revenue year-end€2,13M−7K
Runway15.3 mo−3.1 mo
Net burn / month€222K+38K
The AI sees only what you see

Scoped by architecture, not by promise.

Every tool call runs under your database identity — the same Row-Level Security and scoping as your login. There’s no separate “AI access level” to audit, and your conversations stay private — not even org admins can read them.

RLSTools under your identity
0Writes without a human
PRIVATEChats stay private
Every run auditable · transcripts
Zencount AI

Hand off the night shift.

Ask your first question — and get an answer with receipts, not guesswork. More clarity, less spreadsheet archaeology, calmer evenings.

The AI proposes. You decide.