O
Ops AI
KLSE: CITAGLB
FY25 bottom-line model · built on FY24 audited financials

Re-shaping Citaglobal's FY25 bottom line — with Ops AI.

FY24 closed at RM 303.3M revenue with PBT at RM (63.5)M. Below: how four Ops AI products move the FY25 P&L — across project delivery, workforce planning, and tender & claims paperwork.

The starting point — FY22 → FY24

RM millions · Group · audited
Line itemFY22FY23FY24
Revenue213.9247.4303.3
Cost of sales—(153.9)(223.8)
Gross profit—51.670.2
Administrative expenses—(33.1)(33.0)
Staff costs—33.438.3
Finance costs—(3.0)(4.5)
Profit / (Loss) before tax(39.8)4.8(63.5)

Source: Citaglobal Berhad Annual Reports 2022, 2023, 2024 (Bursa filings). Revenue grew +42% over three years, yet FY24 swung back into a RM 63.5M loss as cost of sales and finance costs outpaced gross profit. Ops AI is modelled against FY24 to show the FY25 turnaround.

Four products · before vs. after

Numbers · not narratives
For every department

AI Matrix

HR · Finance · Procurement · Project Admin

Agentic workflows that automate the back-office processes currently consuming tens and hundreds of staff-hours — from onboarding to procurement to claims processing.

Back-office FTEs running the workflows
Before
170
FTEs
After Ops AI
30
FTEs
Cost saved
RM 19.30M
~140 back-office FTEs redeployed (≈280,000 manhours/yr) across HR, finance, procurement & project admin — sized against FY24 staff costs (RM 38.3M) + admin expenses (RM 33.0M)
Revenue uplift
RM 6.07M
+2% top-line — fewer PO / invoice / claim misses, faster month-end close
For every manager

AI Command

Managers & team leads

Daily AI follow-ups on every delegated task — micromanagement at scale so nothing slips, staff are utilised to the max, and overruns are caught before they hit the P&L.

Hours / week chasing status updates
Before
11
hrs/wk
After Ops AI
1
hrs/wk
Cost saved
RM 13.43M
6% trim on FY24 cost of sales (RM 223.8M) — overrun recovery + idle-time elimination via daily AI micromanagement
Revenue uplift
RM 9.10M
+3% top-line — on-time milestone billing, fewer LAD events, faster project closeout
For C-levels

AI Oracle

GMD, BOD, EXCO

Digests internal + external data and returns consultant-grade insight in minutes — so leadership can act in days, not quarters.

Time from question → board-ready recommendation
Before
6–8
weeks → minutes
After Ops AI
<1
weeks → minutes
Cost saved
RM 3.30M
10% trim on FY24 admin expenses via sharper, faster decisions
Revenue uplift
RM 6.07M
+2% top-line — faster bid pricing, JV terms, capital reallocation
For every staff

Chief of Staff

All employees

Daily one-pager from emails, SharePoint, meetings, calendar.

Hours per staff / day on email & doc triage
Before
2.4
hrs/day
After Ops AI
0.4
hrs/day
Cost saved
RM 1.65M
5% of FY24 admin expenses — lighter triage load
Revenue uplift
RM 3.03M
+1% top-line — staff freed to spend on revenue work

What this looks like inside Citaglobal

Real workflows · real teams
Project delivery

On-time completion · overrun prevention

Today

PMs find out about slippage at monthly steerco. EOT and LAD events hit the P&L after the fact.

With Ops AI

AI Oracle flags schedule risk weekly; AI Command nudges every package lead daily until variances close — managers see exactly who is on track.

Bottom-line effect
RM 4.5Msaved / yr

2% recovery on FY24 cost of sales (RM 223.8M) + LAD avoidance

AI CommandAI Oracle
Workforce planning

One workforce across all projects

Today

Each project plans headcount in its own silo. Result: parallel hiring, idle staff between mobilisations, over-reliance on subcontract labour.

With Ops AI

AI Matrix pools demand across every active site; AI Oracle forecasts the next 2 quarters so HR redeploys instead of rehires.

Bottom-line effect
RM 2.3Msaved / yr

6% trim on FY24 staff costs (RM 38.3M), without losing delivery capacity

AI MatrixAI Oracle
Tender, claims & gov paperwork

Faster claims, fewer rejections

Today

Each progress claim and tender pulls scattered evidence from emails, drives and site reports. Weeks of admin per submission; cash sits in WIP.

With Ops AI

Chief of Staff consolidates the evidence pack; AI Matrix auto-drafts the gov-format claim and tender response in hours.

Bottom-line effect
RM 1.5Msaved / yr

30–45 days faster cash conversion + admin productivity recovered

Chief of StaffAI Matrix
FY25 bottom-line bridge

A +RM 59.9M net bottom-line lift — in one fiscal year.

+ Ops AI cost saved+37.68
+ Ops AI revenue uplift+24.27
− Ops AI investment (RM 170k / mo × 12)(2.04)
Net FY25 P&L impact+RM 59.91M

A +RM 59.9M net swing on the FY24 P&L — equivalent to closing 94% of the FY24 PBT gap, before a single new contract is signed.

Contribution by product (RM M / yr)
AI MatrixRM 25.37M
AI CommandRM 22.53M
AI OracleRM 9.37M
Chief of StaffRM 4.68M
Cost saved Revenue uplift
Net FY25 bottom-line impact
+RM 59.9M
Gross uplift
RM 62.0M
ROI
30×
Payback
1.7 wks

Methodology · All baselines drawn from Citaglobal Berhad's audited Annual Reports for FY2022, FY2023 and FY2024 (Bursa Malaysia filings). Ops AI savings are modelled as conservative % deltas against the corresponding FY24 P&L lines (admin expenses, staff costs, cost of sales) and revenue. Final go-live numbers will be measured via test-vs-control after deployment.