ARRC presents for the MOI Transformation Program

Building the Ministry's AI Capability and Readiness

An executive experience connecting leadership, specialist capability, workforce enablement, organizational readiness, governance, and measurable scale.

Prepared and presented by ARRC for the Ministry of Interior Transformation Program.

Choose an Experience
ARRCMOI Transformation Program
Presentation slide
▶
00:00
-00:00
Ready
ARRCMOI Transformation Program

Explore the Proposal

Explore by topic

Select an area, review the supporting slides, and continue the conversation with the assistant.

Ministry of Interior Transformation Program ARRC
Investment Case & ROIInteractive decision tool
Investment Business Case

Return on the Ministry's AI Capability Investment

A formal, interactive tool for testing how programme cost, agent reach, productivity, attribution, delivery scale, and talent economics affect expected institutional return.

Illustrative model based exclusively on the approved ROI framework. It supports executive discussion and sensitivity analysis; it is not a guaranteed financial commitment.
~250%Expected three-year net ROI
3.4×Expected value-to-cost
10-12 moModeled payback
5×+Sponsored upside

Executive ROI Snapshot

The indicators update instantly as the active scenario and assumptions change.

Expected case · 3-year horizon
Total investment
SAR 24M
Full three-year cost of ownership.
Booked value
SAR 81.2M
Value after explicit attribution haircuts.
Net gain
SAR 57.2M
Booked value less full investment.
Net ROI
238%
Calculated from the active assumptions.
Value-to-cost
3.38×
Value generated per riyal invested.
Payback
10-12 mo
Estimated band based on scenario strength.

Scenario Navigator

Move between the defended floor, expected case, sponsored upside, and a custom scenario.

Expected - Base Case

Scaled AI-agent adoption

AI agents reach approximately 5,000 employees at a 10% productivity uplift, with explicit attribution haircuts and a transparent full cost of ownership.

3.38×Value-to-cost

What must be true

  • Builders deploy beyond their own roles.
  • Adoption reaches thousands of employees.
  • Governance enables safe scale.
  • Value is measured from a baseline.

How the ROI Is Built

The value architecture presents strong financial outcomes without making enabling levers appear weak or marginal.

Base institutional valueSAR 21.2MFour monetized levers
+
Scale multiplierSAR 60.0MAutomation & AI agents
=
Total booked valueSAR 81.2MExpected case after haircuts
SAR 10.5MIn-house delivery
SAR 6.0MDeployable talent
SAR 2.7MLeadership plans
SAR 2.0MTalent retention
Data sovereignty & securityStrategic value - intentionally not monetized in the financial multiple.

Interactive Assumption Engine

All adjustable inputs remain within the logic and ranges of the approved ROI model.

Live calculation
SAR 24M
Includes delivery, platform, and participant opportunity cost.
5,000
The primary scale assumption in the model.
10%
The source model identifies a 10%-30% potential range.
40%
Visible haircut applied to automation value.
10
The central model range is 8-12 initiatives.
SAR 6,000
Uses the SAR 4,000-8,000 range in the model.
Booked valueSAR 81.2M
Net gainSAR 57.2M
Net ROI238%
Value-to-cost3.38×
Payback band10-12 mo
Scenario classExpected
Sensitivity of the current model
Primary driver
High sensitivity
High sensitivity
Moderate sensitivity
The result is an illustrative projection. Data sovereignty remains outside the financial multiple and is presented separately as strategic value.

Executive Questions & Answers

Switch explicitly between English and Arabic while preserving the active scenario and assumptions.

ROI context mode
AI

ROI Executive Assistant

Grounded in the current scenario and approved model

Executive ROI Scenario Report

A newly designed report covering the thesis, assumptions, scenarios, value architecture, sensitivity, measurement, and governance.

Saudi executive guide
Executive AI AssistantAsk by text or voice in English or Arabic. Answers are grounded in the full presentation and linked to supporting slides.

Presentation knowledge is ready

I can answer detailed questions in English or Arabic, connect themes across the full document, and open the slides supporting each conclusion.