#57 Fixing Data Trust in Finance Through AI and Process Intelligence. With Moiz Khan from Hapag Lloyd AG.

The real reason finance teams don’t trust their own data:
It is usually not a technology problem.
It is a trust problem.
Processes get redesigned.
Dashboards get built.
Automation gets launched.
And still, meetings end up stuck on the same question: can we trust the numbers?
That was one of the strongest points for me in my conversation with guest Moiz Khan, Director Finance Excellence and Governance at Hapag Lloyd AG.
He described something many finance teams know too well.
Data is available.
Tools are available.
But definitions are inconsistent, master data is not clean, and multiple versions of the truth exist.
The result is predictable.
Teams stop making decisions.
And start debating numbers instead.
That is why finance transformation so often slows down before it creates real value.
What I found especially relevant from the conversation:
• Finance excellence starts where business value is highest, not where change is easiest. Early wins create momentum.
• Stakeholder buy-in comes from leadership language: cash improvement, lower DSO, fewer overdue items, fewer blocked invoices, faster closing, less manual effort, fewer errors.
• Real transformation only works through collaboration with stakeholders, clear ownership, and an understanding of local requirements.
One thought stood out to me in particular:
Finance is no longer just finance.
It is finance, technology, data, and translation.
If these pieces are disconnected, blind spots in decision-making are inevitable.
If they are connected, finance becomes simpler, more reliable, and scalable.
A strong conversation with Moiz Khan about finance excellence in practice, stakeholder value, process ownership, and data trust.

Eigenwerbung:

**Black Belt in Finance Business Partnering**
Vom Controller zum Business Partner, den das Business wirklich braucht

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