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FINANCE

Spend month-end on the analysis, not the assembly.

The first week of every month goes on assembly: exporting ledgers, reconciling tabs, writing variance commentary for numbers that moved for the usual reasons. StickyPrompts takes the assembly. It reads the export, queries the database, checks the contract and emails the pack, so your team's time goes on the judgement.

The tool calls behind a database answer: list tables, describe them, run a read-only query
WHERE MOST TEAMS ARE TODAY
  • Variance commentary rewritten from scratch every month, in slightly different words
  • Ledger exports too big to read, so questions wait for whoever owns the pivot table
  • Contract terms and invoice lines checked by hand against the purchase order
What people actually do with it

Six things finance teams use this for.

Not an exhaustive list. These are the ones that come up first, and the ones that make the case for the rollout on their own.

Month-end commentary
Attach this month's and last month's figures and last quarter's write-up. Get a first draft of the commentary in your house style, for the controller to edit.
Variance explanations
Ask why marketing spend is 14% over budget and get the lines that drove it, from the export you attached, with the working shown.
Excel AI over ledgers
Upload a GL export, write one prompt that refers to its columns, test it on one row, then fill a new column for every row: category, cost centre, anomaly flag.
Contracts and invoices
Put supplier contracts in a knowledge base and ask for payment terms, renewal dates and penalty clauses. Every answer cites the file.
Ask the database
Connect the finance database read-only and ask for the overdue accounts over 60 days. The answer comes back as a table, with the SQL it ran.
Reports on a schedule
A workflow pulls the numbers every Monday at 8, writes the summary and emails it to the CFO. Invoice reminders work the same way.
IN THE PRODUCT

One prompt, every row.

Upload the ledger export, write one prompt that refers to its columns, check it on one row, then fill a new column for all of them: categorising, summarising or flagging as it goes.

See Excel AI
Excel AI. A prompt that references columns runs on every row of the spreadsheet.
IN THE PRODUCT

The Friday brief, in the CFO's inbox.

The instructions are plain English: pull the open pipeline from the CRM, build a one-page PDF brief, email it to the CFO. The workflow found Sarah Kim through the Finance team on its own, and runs every week.

See workflows
A workflow that emails the CFO a PDF. Plain-English instructions: build a PDF brief from Pipedrive and email it to the CFO. It finds Sarah on its own.
WHAT THE CONTROLLER GETS
  • Read-only database connections: a question can run SELECT and nothing else
  • Excel AI shows the result on one row before it touches the rest
  • Card numbers and IBANs redacted before a prompt reaches any model
  • Every workflow run kept in its history, with the result and a success rate
  • Usage by team, user and model, ready for internal recharging
  • Data stored in the EU by default
Straight answers

What finance teams ask us.

Can it read our ledger without being able to change it?

Yes. Each database connection has a permission level, and Read only allows SELECT statements and nothing else. A database with no public endpoint can be reached through an SSH jump host you control. Every answer shows the query behind it.

Will it get the numbers right?

Treat it like a sharp new analyst: fast at reading, sorting, drafting and explaining, and checked before anything is signed. Database answers show their SQL, Excel AI lets you test the prompt on one row first, and answers from documents cite the file.

How do we see what AI usage costs, and who used it?

The plan price is fixed. AI usage is metered at the provider's rate plus your plan's commission, and usage statistics break it down by team, user and model, which is the granularity most internal recharge models need.

Also worth reading

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Built for finance

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