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AI Solutions

AI Readiness Check
for Finance

The assessment creates transparency on AI potential in Closing, Forecast, Working Capital and Finance Transformation.

For CFOs | Finance Decision-makers | Controlling
6 Strategic Dimensions
30 Diagnostic Questions
4 Maturity Levels
15 Min. Time-to-Insight

Your Challenges

01

AI potential in the Finance organization unclear

Without systematic analysis, Finance teams do not know which processes offer the highest AI leverage. Substantial efficiency potential in Closing, Forecast, and Reporting remains untapped and slows down the transformation.

02

No transparency on current AI maturity level

The current state of AI maturity in the Finance organization is unclear, making targeted investments and prioritization difficult. Without a clear picture, the foundation for a focused Finance AI strategy is missing.

03

Investment decisions without a data foundation

Finance AI budgets are allocated without a well-founded analysis of actual needs and potential in Closing, Forecast, and Working Capital. The risk of misinvestments increases, value-creating initiatives are not pursued.

04

Competitors are digitizing Finance much faster

Competitors are already deploying AI in Finance processes and securing measurable advantages in speed and cost structure. Those who fail to act now lose ground in the automation of critical Finance processes.

Your Solution

360° maturity assessment with 30 diagnostic questions across 6 strategic dimensions. aiready.finance analyzes the AI maturity of your Finance organization across all relevant dimensions.

From Closing and Forecast through Working Capital to enterprise-wide Finance Transformation. AI-powered recommendations and board-ready reporting provide the decision-making foundation.

  • 0130 Finance-specific diagnostic questions for a precise picture of your AI maturity across all dimensions
  • 02AI-powered evaluation with prioritized recommendations and a structured Finance AI roadmap
  • 03Board-ready reporting with heatmaps, spider diagrams and executive summary
  • 04Focus on Closing, Forecast, Working Capital and holistic Finance Transformation

Methodology

Step 01

Onboarding and Goal Definition

Introduction to the assessment process, definition of your Finance goals and determination of all relevant evaluation dimensions.

Step 02

Completing the AI Assessment

Independent or guided completion of the AI Readiness Check across 30 targeted Finance diagnostic questions in just 15 minutes.

Step 03

Detailed Diagnosis and Findings

AI-powered evaluation of results and systematic identification of strengths, gaps and prioritized areas for action across dimensions.

Step 04

Concrete Action Recommendations

Derivation of concrete measures from the diagnostic results and prioritization by impact and feasibility into a Finance AI roadmap.

Step 05

Consultation and Roadmap Review

Personal consultation presenting all recommendations for action and a prioritized Finance AI roadmap tailored to your organization.

Step 06

Ongoing Strategic Follow-up

Continuous support in implementing all recommended measures and regular progress tracking across all strategic Finance dimensions.

Clarity as the decision-making foundation

01

Immediate clarity on AI maturity in 15 min.

In 15 minutes, receive a well-founded assessment of your AI maturity level across all Finance dimensions. Robust transparency as the decision-making foundation for the next steps.

02

Prioritized Finance action recommendations

AI-powered analysis identifies the most impactful levers and delivers a prioritized roadmap for your Finance AI strategy. Every measure comes with a clear time horizon and measurable impact.

03

Board-ready reporting and visualizations

Visual heatmaps and executive summaries that feed directly into board presentations and investment decisions. Prepared for decision in the board context.

04

GDPR-compliant infrastructure in Germany

All data is processed and stored exclusively on German servers. Full GDPR compliance with high standards for data security, confidentiality, and compliance.

4 Maturity Levels

Level 1

Starter

Awareness phase. Build foundations for AI in Finance, identify first use cases and ensure the necessary data quality standards.

Level 2

Implementer

Implementation phase. Bring first AI projects into production and achieve measurable results in selected Finance processes.

Level 3

Strategist

Scaling phase. Systematic integration of AI across all Finance functions and an established data-driven decision culture.

Level 4

Leader

Leadership phase. Leverage AI as a strategic competitive advantage, establish autonomous processes, and anchor Predictive Finance at enterprise level.

Competitive advantage starts with clarity about Finance AI maturity

Start the AI Readiness Assessment for your Finance organization now. In 15 minutes you will know where you stand.