Next live sessionThu, Nov 5 · 11 am ET · 8 am PT · 16:00 UKStarts soon
Use AI on your finance data, and trace every number back to its source.
Use AI on your finance data, with every number traceable is a free, one-hour live workshop. Watch AI answer real finance questions over a ledger, every figure traced to its rows, every action logged to a named person and every AI call metered.
What you'll get
- Answers your controller can trace to the source rows
- Where AI saves finance days first: the close, spend and cash
- AI costs metered by team, so the bill is never a surprise
11 am ET · 8 am PT · 16:00 UK · online, one hour, free
Teams we've built for
- Comic Relief
AWS Premier Tier Services Partner, one of about 300 among more than 130,000 AWS partners.
AI in finance works when every figure shows its working.
The close, spend, cash and budget against actuals are full of work AI does well: reading, matching, adding up, drafting the commentary.
It earns trust when every figure traces back to its source rows, every action is tied to a named person and logged, and every AI call is metered, so the AI line is never a surprise to the team that owns it.
What you'll take away from the hour
- 01
Every figure has a source
Questions answered in plain English over a ledger, each figure traced back to the rows it came from.
- 02
The jobs that take days
The close, spend, cash and budget against actuals: where AI does the adding up and your people make the calls.
- 03
Every AI call metered
What each answer cost, so the AI line is never a surprise to the team that owns it.
What we work out with your finance team
One use case, done properly, rather than a tour of everything AI might do.
- 1
The one use case
The month-end close and flux narrative, spend and cost intelligence, cash and working capital, or budget against actuals, and what “usable every day” means for it.
- 2
The measure
Success in your numbers, not ours: days saved at close, hours of reconciliation, how fast a variance is explained.
- 3
The data
What it needs from the ERP, payables and receivables, and the gaps.
- 4
The controls
What your auditors will ask for: every action tied to a named user and logged to the row.
- 5
The cost
What it will cost per use case, metered by team.
Axiom, our accelerator, gives every AI agent one meaning of your finance data, so “revenue” and “cost” mean what your controller says they mean.
What we bring
The traceable numbers come from a layer we've already built.
Axiom
A semantic layer that gives every AI agent one meaning of revenue, customer and churn, worked out from the agreed definition instead of guessed, with each answer showing its working.
Runs in your AWS account; any AI agent reaches it over MCP.
One hour, run by the engineers who do the work
See it
Plain-English questions over an example ledger, each figure traced back to its source rows, and a variance commentary drafted from actuals.
How it's kept right
One meaning for each number, the tests every answer passes and the trail behind it.
Your questions
Bring the finance process that costs you the most days.
The private workshop: half a day with your finance team
One financial use case, worked through with the people who own it. The measure, the data, the controls and the cost, written down by the end.
Who comes
The CFO or finance director, FP&A, the financial controller, and whoever owns the ERP data.
What to bring
The finance process that costs the most days, and the question you most want answered faster.
Your data
An export with personal data taken out, or an example ledger shaped like yours.
What you leave with
- The use case and its success measures
- The data gaps
- The controls your auditors will expect
- The cost per use case, and whether AWS funds the build
What clients say about working with us
The whole platform was designed, built, and managed with minimum input required from us
They provided clear, actionable solutions that helped us overcome challenges and meet our goals.
Thanks to Armakuni's efforts, the client saw improved operational efficiency and reduced manual workload.
- Under 0.25%of AWS partners are Premier Tier. We're one of about 300.
- 500+AWS customer launches
- 1,300+engineers across the UK, US, UAE, India and Canada
- 70%of the proofs of concept we scope reach production
Before you sign up
Does it cost anything?
No. The hour and the half day with your finance team are free, and we'll check whether AWS funds the build.
What if our process isn't ready for AI?
Then you'll hear that, along with what has to be true first: usually a definition agreed or a data gap closed.
Will our auditors accept it?
That's the point of the design: every figure traced to its rows, every action tied to a named user and logged.
Do we need clean data first?
Not perfect data. We find the gaps for the one use case and fix what it needs.
What happens after?
The use case built and live, with funding from AWS where it applies.
Use AI on your finance data, with every number traceable
Thursday, November 5, 11 am ET · 8 am PT · 16:00 UK. Starts soon.
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