How does Nance connect to our Databricks workspace?

Through a scoped, read-only connection by default: a dedicated service principal you create and control, limited to the catalogs and schemas you choose. Write access only where you explicitly grant it.

Does Nance build pipelines or manage our lakehouse?

No. Nance queries the data your team already maintains. It reads, reconciles and reports; data engineering and platform management stay with your data team.

What should we expose to Nance?

Most teams grant access to a small set of curated tables or views relevant to finance: orders, transactions, usage. Narrow access keeps queries simple and answers easy to trust.

Can we audit what Nance does in Databricks?

Yes. Every query is logged with its context and result, and access is bounded by the permissions of the service principal you set up. Your own workspace audit logs see Nance like any other principal.

Nance + Databricks.

Data & databases

The operational truth lives in Databricks. The financial truth lives in your accounting system. Nance queries both and reconciles them, so finance stops queueing behind the data team backlog.

Book a demo See how she works

Finance teams next to a lakehouse all know the queue. The data is right there, every order, every transaction, every usage record, but getting an answer out of it means filing a ticket and waiting for someone on the data team to find time between their own priorities. So the monthly check against the books slips, the export from last quarter gets reused, and the question "are we invoicing everything" gets answered with a shrug and a sample.

Nance gives finance a direct line. It queries Databricks through a service principal you control, checks operational datasets against the administration, verifies revenue completeness against real order and usage data, and answers ad hoc questions from the tables you exposed. The data team keeps owning the platform; finance stops borrowing their calendar to use it.

Why connect Nance to Databricks.

The connection and the colleague in one

She reads Databricks, applies your rules and does the actual finance work in your accounting system.

Nothing posts outside your rules

You decide what runs automatically and what waits for approval. Every action logged, with the why attached.

One agent across the stack

Payments, commerce, CRM, spend and inboxes: one set of rules and a full audit trail between them.

Up and running in three steps.

Connect
Through the official Databricks API, with scoped access. Nothing to install and nothing to migrate.
Set the rules
What she books on her own, what waits for you, who approves. Start anything as a Test Run: a read-only preview first.
She works daily
What arrives in Databricks is read, matched and booked in your accounting system. Exceptions come to you with context.

What Nance automates with Databricks

Operational data versus the administration

Nance checks what your lakehouse datasets recorded against what was booked, and surfaces the differences with the underlying rows attached.

Revenue completeness checks

Order, usage and transaction data becomes the reference for what should be in the books. Missing invoices show up as findings, not as year-end surprises.

Source detail for bookings

When a booking needs operational backup, Nance pulls it from the relevant tables directly instead of routing the question through another team.

Reporting on governed data

Finance reporting draws on the same curated Databricks data the rest of the company uses, so the monthly report and the company dashboard tell one story.

Scheduled consistency checks

Recurring comparisons between lakehouse and ledger run on a schedule, surfacing drift during the month instead of during the close.

Ad hoc questions, answered

The questions finance used to file as data requests, Nance answers directly from the datasets you exposed, with every query logged and reviewable.

Access and security

No bank connection, no bank credentials, ever
Her own user account with scoped permissions
Every action logged, visible and attributable
Test Run: read-only preview before anything changes
Hosted on Google Cloud in the EU
Your data never trains AI models

Frequently asked questions

Connect Databricks to Exact Online, Twinfield, Moneybird, Xero and QuickBooks

Most Databricks connectors are data pipes: they copy fields on a schedule and stop there. Nance is the connection and the colleague in one. It reads Databricks, applies your rules and does the actual finance work in your accounting package, with approvals where you want them and every action logged.

Exact Online

Book, reconcile and close inside your Exact Online administration

Twinfield

Automated processing and period checks across Twinfield administrations

Moneybird

Keep your Moneybird books current and VAT-ready, automatically

Xero

Automate invoice processing and reconciliation in Xero

QuickBooks

Bills coded, bank lines matched and debtors chased inside QuickBooks Online

Security is part of the job.

Nance works inside your financial systems, so we treat protecting them as core product work. The live details are public in our trust center.

Encrypted everywhere

AES-256 at rest, TLS in transit.

GDPR compliant

a standard DPA with every plan.

ISO 27001

certification in finalization.

Hosted in the EU

on Google Cloud, by default for everyone.

Never trains AI models

your data stays yours alone.

Payments stay at your bank

Nance prepares the batch, you release it.

Open the trust center →More on security →

✓ Booked 42 purchase invoices✓ Matched €18,430.00 in bank transactions✓ Flagged 1 duplicate from Coolblue✓ Prepared Thursday's payment run✓ Chased 6 overdue invoices✓ Held 1 changed IBAN for review✓ Refreshed the cash dashboard✓ Closed February, clean

✓ Matched €18,430.00 in bank transactions✓ Flagged 1 duplicate from Coolblue✓ Prepared Thursday's payment run✓ Chased 6 overdue invoices✓ Held 1 changed IBAN for review✓ Refreshed the cash dashboard✓ Closed February, clean✓ Booked 42 purchase invoices

✓ Flagged 1 duplicate from Coolblue✓ Prepared Thursday's payment run✓ Chased 6 overdue invoices✓ Held 1 changed IBAN for review✓ Refreshed the cash dashboard✓ Closed February, clean✓ Booked 42 purchase invoices✓ Matched €18,430.00 in bank transactions

✓ Prepared Thursday's payment run✓ Chased 6 overdue invoices✓ Held 1 changed IBAN for review✓ Refreshed the cash dashboard✓ Closed February, clean✓ Booked 42 purchase invoices✓ Matched €18,430.00 in bank transactions✓ Flagged 1 duplicate from Coolblue

✓ Chased 6 overdue invoices✓ Held 1 changed IBAN for review✓ Refreshed the cash dashboard✓ Closed February, clean✓ Booked 42 purchase invoices✓ Matched €18,430.00 in bank transactions✓ Flagged 1 duplicate from Coolblue✓ Prepared Thursday's payment run

✓ Held 1 changed IBAN for review✓ Refreshed the cash dashboard✓ Closed February, clean✓ Booked 42 purchase invoices✓ Matched €18,430.00 in bank transactions✓ Flagged 1 duplicate from Coolblue✓ Prepared Thursday's payment run✓ Chased 6 overdue invoices

✓ Refreshed the cash dashboard✓ Closed February, clean✓ Booked 42 purchase invoices✓ Matched €18,430.00 in bank transactions✓ Flagged 1 duplicate from Coolblue✓ Prepared Thursday's payment run✓ Chased 6 overdue invoices✓ Held 1 changed IBAN for review

✓ Closed February, clean✓ Booked 42 purchase invoices✓ Matched €18,430.00 in bank transactions✓ Flagged 1 duplicate from Coolblue✓ Prepared Thursday's payment run✓ Chased 6 overdue invoices✓ Held 1 changed IBAN for review✓ Refreshed the cash dashboard

Hire Nance.

Connected to Databricks in an afternoon, and we walk you through it.

Book a demo See pricing