#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
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