# $5M+ P&L discrepancies flagged for a NYSE-listed tanker operator

A NYSE-listed tanker operator moved voyage P&L from weeks behind to live, flagging over $5M in discrepancies against contract terms.

## Content

A NYSE-listed tanker operator runs a fleet of more than 200 vessels across global trade routes. Every voyage has its own P&L, and every one is shaped by the terms of the contract it sails under.

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The challenge

h2

The data behind each voyage was spread across disparate systems, thousands of emails and institutional knowledge that was never written down. P&L was assembled by hand from that unstructured data, so leadership saw results weeks after the fact.

With every figure pieced together by hand, discrepancies against contract terms were easy to miss, and money owed under the contract went unnoticed.

Arrive

Voyage

Weeks after the fact

P&L

Depart

W1

W2

W3

What we built

Arrakis embedded with the operator's commercial and operations teams, and unified its legacy systems and thousands of emails into one AI-executable pane.

More than 15 agents now reconcile voyage P&L in real time, on live data, against each contract's terms. Every line is checked against the terms that govern it; where one doesn't square, it's flagged and sent to the operations team to review, so the team stays in command of every call.

Voyage P&L

Live P&L

Review

Freight

Demurrage

Port costs

Bunkers

Commissions

Legacy systems

Email

Voyage data

Operations

Terms

The first agent went live one week from kick-off.

The impact

Efficiency

## P&L visibility

Weeks → Live

Real-time reconciliation on live data.

Business impact

## P&L discrepancies surfaced

flagged against contract terms

Discrepancies that used to go unseen.

$

M+

Quality

## Output accuracy

output accuracy

Up from around 60%, in under three months of deployments.

%

Speed

## First agent live

from kick-off

week

Voyage P&L went from weeks behind to live. Over $5M in discrepancies against contract terms have been flagged, and output accuracy rose from around 60% to 99% within three months of deployments.

Leadership now sees each voyage's results as they happen, not weeks after the fact, and the commercial team spends its time on the discrepancies that matter rather than on assembling the numbers.