AI for finance

AI for financial processes with human oversight

We automate preparatory work with documents and measures without delegating the final financial decision to AI.

Discuss your project
01

Practical use cases

We begin with tasks whose result can be checked against a document, rule or agreed measure.

  • Document classification and data extraction
  • Reconciliation preparation and exception lists
  • Management metric explanations
  • Search across policies and methodologies
02

Required data

We align charts of accounts, reference data, periods, currencies, document versions and access rules. For management analytics, metric formulas are documented so a model does not replace definitions with statistical guesses.

03

Pilot boundaries

AI prepares a draft, match or explanation. Posting a transaction, approving reporting, or making a credit, investment or other financial decision remains with an authorised person and the existing control process.

Fit before scope

Is this the right starting point?

Use these criteria for an initial orientation. The final recommendation follows a review of your context, data and constraints.

A good fit when

  • A process or decision that needs improvement is identified
  • An accountable sponsor and result user are available
  • A measurable outcome or quality criterion can be defined

Resolve this first when

  • The goal is simply to buy unspecified AI without a defined challenge
  • A guaranteed impact is expected before data are assessed
  • No one is accountable for accepting the result

Frequently asked questions

Frequently asked questions

Can financial documents be provided to a model?

The environment, access and required fields are defined before the pilot. Data minimisation, masking and an approved deployment environment are used where needed.

Choose the right first step

Start with the decision you need to make

Each path produces a concrete next-step artefact rather than a generic technology presentation.

First step

Let's discuss your challenge.

We will clarify data availability, constraints and a realistic pilot format.