AIAI CFOAI for finance
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Practical AI implementation for finance teams

AI for processes where money, speed and control matter

We help finance teams identify bottlenecks, test hypotheses on real data and bring AI into everyday work โ€” from source documents to cash flow forecasts.

  • We start with a process and a measurable business metric
  • We build a pilot you can evaluate within weeks
  • We integrate the solution into your existing systems and procedures
๐Ÿ“ˆ Cash flowscenarios and forecasts
Finance functionAI-ready
Reconciliations92%
Data quality87%
Reporting78%
Forecasting71%
๐Ÿค– AI assistantdata ยท rules ยท context
63finance workflows in the open catalogue
8thematic groups of finance processes
3steps: diagnostics, pilot, rollout
1entry point to the CFO office AI portfolio
Knowledge base

The finance function โ€” from process to pilot

Explore functions and manual operations, set automation and AI priorities, and choose a specific implementation scenario.

01

63 finance workflows

A complete catalogue of CFO office processes organised into eight thematic groups.

Open catalogue โ†’
02

A simple process map

A complete map of finance department processes in a practical management structure.

Explore processes โ†’
03

Finance function map

An L1โ€“L2 framework covering finance domains, deliverables and stakeholders.

Open map โ†’
05

Practical AI use cases

Scenarios with objectives, data requirements, expected impact and implementation constraints.

Explore scenarios โ†’
Practical scenarios

Choose the problem first

AI delivers value when it is part of a clear process, works with available data and keeps people in control where it matters.

AI use case

Month-end close

  • Reconciliations, journal entry checks and variance explanations
  • Less manual work and transparent quality control
  • Success metrics agreed before the pilot starts
AI use case

Cash flow and budgeting

  • Payment scheduling, forecasting and scenario planning
  • Early visibility of cash shortfalls and possible responses
  • Success metrics agreed before the pilot starts
AI use case

Source documents

  • Data extraction, classification and transfer to your ERP
  • Faster processing gives your team more time for analysis
  • Success metrics agreed before the pilot starts
Our approach

A small pilot. A clear metric. An informed rollout decision.

A step-by-step approach to a priority process, grounded in your company's actual constraints.

  1. 01

    Diagnostics

    Map the process, data, manual tasks and control risks.

  2. 02

    Prioritisation

    Assess value, complexity, data readiness and process ownership.

  3. 03

    Pilot

    Test the hypothesis within a limited scope and measure the impact.

  4. 04

    Rollout

    Integrate the solution, update procedures and develop it further.

Shall we start with one finance process?

In our first meeting, we discuss your challenge, context and a possible pilot โ€” with clear criteria for success.

Beyond finance

AI scenarios for adjacent business processes

The same approach applies to sales, operations, support and HR: AI prepares context and recommendations, while people retain decision-making responsibility.

Finance ยท AI payment request reviewer

Checks requests against policies, budgets and transaction history, flags exceptions and prepares context for the approver.

  • Scenario: request โ†’ budget check โ†’ risk review โ†’ approval routing
  • Metrics: decision time, requests accepted without rework, manual checks
Sales ยท AI assistant for inbound leads

Collects enquiry context, clarifies missing information and prepares a summary and next step in the CRM while preserving conversation history.

  • Scenario: new lead โ†’ context collection โ†’ qualification โ†’ CRM task
  • Metrics: first response time, CRM completeness, time spent per lead
Operations ยท document and request processing

Extracts document data, checks required fields, classifies requests and routes them to the right team with an action log.

  • Scenario: document โ†’ field extraction โ†’ rule checks โ†’ system record
  • Metrics: field accuracy, processing time, manual clarification rate
Support ยท first-line assistant

Searches an approved knowledge base, drafts answers with sources and escalates unusual cases to a specialist with a short summary.

  • Scenario: question โ†’ knowledge search โ†’ draft โ†’ response or escalation
  • Metrics: drafting speed, accepted draft rate, escalations
HR ยท onboarding guide

Answers policy questions, guides employees through initial tasks and collects common questions using approved documents with source references.

  • Scenario: employee question โ†’ policy search โ†’ sourced answer โ†’ HR feedback
  • Metrics: questions resolved without HR, knowledge gaps, response time