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Maximize engineering value in the AI era

AI Spend Insights
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Engineer
Project
Category
Conf.
Cost
WH
Will H.
Analysis AgentCapEx
Feature
94%
£284
1 of 4,218 sessionsAuto-classified by Flowstate AI
Workforce Analytics
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Platform Modernisation
£2.4M4.2%
12 HC·187d·£340K AI·3 ext
Customer Portal v3
£2.1M1.8%
9 HC·142d·£310K AI·1 ext
ML Pipeline
£1.6M6.1%
7 HC·96d·£275K AI·2 ext
DevOps Automation
£1.2M0.4%
5 HC·78d·£210K AI
62%
CapEx ratio
CapEx
OpEx
AI Project Analyst
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3 projects incorrectly categorised as OpEx

DevOps Automation+£1.3M
Meets FRS 102 capitalisation criteria
ML Pipeline (training)+£1.7M
Model training qualifies as CapEx
Internal Tools v2+£1.0M
Internal-use software development
Est. EBITDA impact+£4.0M
Scenario Planning
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Actual
Plan
Over budget
FY 2025 · YTD
On track-1.4% vs plan
£10.0M / £12.2M
CapEx Attribution
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62% CapEx
38% OpEx
via Linear
Platform Modernisation
Linear · 847 issues
£2.4M
CapEx
Customer Portal v3
Linear · 612 issues
£2.1M
CapEx
ML Pipeline
Linear · 394 issues
£1.6M
CapEx
Platform Maintenance
Linear · 156 issues
£360K
OpEx
Auto-classified from project data
Total: £6.5M
AI Spend Insights

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Q4 FTE Planning v4 final (draft) FINAL final.xlsx
A
B
C
D
E
1
Name
FTE
Team
Cost
Notes
2
Sarah C
0.8
Platform
£95k$150k
CHECK!
3
James W
1.2??
Product
#REF!
formula broken
4
Maria G
0.6
TBC
£88k$140k
was 1.0
5
Alex K
1.0
Data
£72k$115k
DELETE?
6
NEW HIRE
1.0
Platform
???
pending
7
TOTAL
4.6?
#REF!
WRONG
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