Skip to content

Alert Banner Text Goes Here Alert Banner Text Goes Here Alert Banner Text Goes Here Alert Banner Text Goes Here

Start Now

Operational Cash Flow is Now a CFO Control System

Where AI really fits in the finance function

From improving individual productivity to supporting processes like reconciliation and forecasting, the potential is clear. But in finance, accuracy, control, and governance are non-negotiable.

In this session, we cover:

  • Where AI is delivering value today
  • Why data quality and oversight matter more in finance
  • The risk of unmanaged or uncontrolled AI usage
  • How CFOs can take a practical, step-by-step approach to adoption

See how finance teams are turning AI into measurable results.


Why Cash Forecasting Breaks in fragmented environment

The real problem isn’t forecasting—it’s the system behind it

Cash forecasting is one of the most important—and most frustrating—processes in finance.

But the issue isn’t just accuracy. It’s complexity.

In this session, we explore:

  • Why finance teams are often “reconstructing the present” rather than predicting the future
  • How fragmented systems and disconnected workflows create risk
  • Why layering AI on top of broken processes doesn’t solve the problem
  • What actually needs to change to fix forecasting at its source

This is about moving from isolated predictions to connected, end-to-end finance processes.


What CFOs Should Demand from AI

From hype to accountability: how to evaluate AI in finance

AI promises efficiency—but in finance, it must also deliver control, traceability, and trust.

In this session, we break down what CFOs should actually expect from AI:

  • How to separate real value from marketing hype
  • Why explainability is critical for audit, compliance, and governance
  • The risks of applying AI to poor-quality or fragmented data
  • Why workflow integration matters more than standalone tools
  • What “responsible AI adoption” really looks like in practice

If AI is going to play a role in finance, it has to meet a higher standard.


How CFOs reduce DSO without breaking customer trust

Reduce DSO with AI-driven collections—without compromising customer trust or control

In this session, we cover:

  • Why the collections process is critical to cash flow performance
  • How AI is transforming collections into a proactive, controlled cash engine
  • Personalising outreach to improve outcomes without damaging relationships
  • Ensuring sales teams have visibility into late payers before extending new business

Learn how to accelerate cash while protecting customer trust.


Exceptions: The hidden tax on finance team

Exceptions are the silent tax on finance teams—driving inefficiency, increasing risk, and slowing down critical processes across the business.

In this session, we cover:

  • How exception volumes build across finance processes—and why they’re so hard to control
  • How finance teams are currently managing exceptions (and where it’s breaking down)
  • Where AI can start to make an immediate impact through prioritisation and automation
  • How to build the right data, processes, and foundations to prepare for AI at scale

Get In Touch

Want to learn more about Bottomline's CFO Suite? Let’s talk.

Contact Us