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05
PRONA AI · FINANCE INTELLIGENCE
01 ASK
02 ANALYZE
03 EXPLAIN
04 ACT
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P
Q3 FY27 · all entities
REASONING
Reading expenses
12,480 lines · Q3
Applying policy
v3.2 · 46 rules
Grouping
by department
Ranking
by exception count
POLICY EXCEPTIONS BY DEPARTMENT · Q3
click a bar
38
25
14
9
7
2
Sales — West
Field service
Marketing
Operations
Engineering
Finance
Sales — West
38
Hotel above cap
21
Meal over limit
11
Missing receipt
6
INSIGHT
Sales — West drives 40% of exceptions, mostly hotels above the entity cap.
Review 38 exceptions
Notify department head
TRY
Show me the departments with the highest policy exceptions.
Where is spend increasing?
What are the top expense exceptions?
Illustrative data
Every answer shows its work.
Policy-aware booking
Receipt extraction
Receipt matching
Violation detection
01 · INPUT
→
An employee asks for a flight.
"BOM → DXB, 14 Oct"
02 · PRONA READS
→
Reads it against live policy.
Band C · economy < 6h
03 · DECISION
→
Shows only compliant options.
3 fares shown · 7 hidden
04 · OUTCOME
Nothing to reverse later.
Booked in policy
WHERE THIS FITS · ONE SPEND PATH
01
TRAVEL
ProXpense Travel
02
SPEND
PX-Pay
03
EXPENSE
Expense
04
POLICY
Policy & Controls
05
INTELLIGENCE
PRONA AI
TRAVEL
→
SPEND
→
EXPENSE
→
POLICY
→
INTELLIGENCE
See ProXpense in action.
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