AI Co-Development

A collaborative engagement for CFOs ready to build practical AI capability

From AI Strategy to Practical Implementation

Many CFOs reach a point where AI is no longer just an idea.

You may already:

• Be experimenting with AI tools
• See clear opportunities in finance
• Have identified potential use cases
• Understand the strategic importance of AI

But a new challenge emerges:

How do you actually build something reliable?
How do you turn experimentation into capability?
How do you combine real data and workflows?

This is where many organizations get stuck.

The AI Co-Development engagement is designed for CFOs who are ready to move from strategy to implementation — building practical AI capability inside the finance function.

This is not training.
This is building together.

The Starting Point

CFOs at this stage often experience:

• Early AI experimentation
• Identified use cases
• Strategic interest in AI
• Lack of structured implementation
• Uncertainty around reliability and governance

AI potential is clear — but practical capability is not yet in place.

The Challenges

CFOs at this stage typically face:

Accuracy and Trust

• Can AI outputs be trusted?
• How do we validate results?
• What data is being used?

Repeatability

• One-off analysis vs repeatable workflows
• Manual prompting vs structured processes
• Personal usage vs team capability

Data Integration

• Finance data in multiple systems
• Operational data disconnected from finance
• Limited ability to combine insights

Adoption and Scaling

• Moving beyond individual experimentation
• Creating sustainable workflows
• Enabling team adoption

The Transformation

AI Co-Development helps you move from:

• Strategy → Implementation
• Experimentation → Reliable Workflows
• Individual Usage → Finance Capability

After this engagement, AI becomes part of how your finance function operates.

What You Gain

• First practical AI use case inside finance
• Reliable and repeatable workflow
• Better insights combining data sources
• Foundation for scaling AI capability

How the Co-Development Works

Step 1 — Identify the First Use Case

We identify a high-value opportunity, such as:

• Financial analysis improvement
• Monitoring and reporting
• Forecasting and planning
• Combining operational and finance data

The focus is practical and achievable.

Step 2 — Build Together

We co-develop the solution:

• Define logic and assumptions
• Work with relevant data
• Develop AI workflows
• Iterate based on results

This ensures the solution fits your organization.

Step 3 — Ensure Reliability

We introduce:

• Validation approaches
• Structured workflows
• Repeatable logic

This turns experimentation into capability.

Step 4 — Prepare for Expansion

Once the first use case is successful:

• Extend to additional use cases
• Enable team adoption
• Build sustainable capability

Who This Is For

This engagement is designed specifically for CFOs who:

• Are already exploring AI
• Want practical implementation
• Prefer hands-on collaboration
• Want to build AI capability in finance

Engagement Model

The AI Co-Development engagement is structured flexibly based on:

• Scope of use case
• Data complexity
• Level of collaboration
• Desired outcomes

Each engagement is tailored to the organization and evolves as capability develops.

Investment

Pricing is based on the scope and engagement level.

We typically begin with a focused co-development phase and expand based on outcomes and priorities.

Build Practical AI Capability

If you are ready to move beyond experimentation and build practical AI capability inside your finance function, AI Co-Development provides a collaborative and structured path forward.

Capability is built by doing — together.