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Deploy sovereign AI on your infrastructure - in weeks, not months.
Selected · Saudi Arabia · AI Center of Excellence
MODON selected Katonic to establish AICE across 36+ Saudi industrial cities, governed under ISO 42001:2023 and Vision 2030.
Zero data egressISO 42001:2023Vision 2030 alignedArabic-native ops
24months
Strategy → Platform → 20+ live use cases
36+ cities
Industrial cities & technology zones in scope
100%
ISO 42001:2023 · NSDAI · Vision 2030 aligned
0bytes
Cross-border data movement
Document-heavy operations. National-strategy obligations. Sovereign data perimeters. AICE proves the model for converting all three into a single governed AI capability.
Land allocation, environmental impact, predictive maintenance, investor onboarding: every workflow at a national industrial authority is a structured-data, document-heavy, multi-stakeholder problem. Exactly where governed AI agents win.
AI is no longer optional for Saudi government entities. NSDAI sets the national agenda; ISO 42001:2023 sets the governance bar. AICE makes both auditable from day one.
Investor data, land records, and ministerial correspondence cannot leave the Kingdom. AICE runs on Saudi infrastructure, with Arabic-native operations, under Saudi regulatory perimeter.
“Katonic was selected to power AICE because the platform unites academia, industry, and sovereign infrastructure under one governed operating model, and because it could be live, with use cases, inside our existing regulatory perimeter.”
Five phases. Twenty-four months. Strategy first, then platform, then a relentless cadence of use-case delivery, governed by dual PMOs and ISO 42001 controls instrumented in the build.
Month 1–2
Phase 01 / 05
Strategy & roadmap
Define AICE goals, KPIs, and 3-year initiative roadmap aligned to MODON's vision. Operating model, org chart, PMO offices at department and corporate levels. Risk register and mitigation plan.
Month 3–4
Phase 02 / 05
Platform implementation
Katonic Adaptive Studio, ACE Gen AI Co-pilot, and Gen-AI Studio deployed on Saudi-resident infrastructure. Llama 3.1 70b baseline. ISO 42001 controls instrumented. Integration with existing MODON systems.
Month 5–8
Phase 03 / 05
Tier-1 use cases live
Industrial Land Management AI Assistant and Investor Services Enhancement go to production. Automated land-allocation recommendations, predictive maintenance, AI-powered investor matching.
Month 9–16
Phase 04 / 05
Tier-2 & 3 use cases
Document Processing Automation (contract review, permit processing), HR Process Automation (resume screening, employee query handling). Iterative deployment with continuous improvement.
Month 17–24
Phase 05 / 05
Scale & knowledge transfer
20+ use cases in production. PMO-led performance reporting. Capacity building for MODON staff. AICE operating as a self-sustaining centre with Katonic as the platform layer.
AICE is what MODON staff, investors, and tenants see. Katonic is what runs underneath: Adaptive Studio, ACE Co-pilot, and Gen-AI Studio on a Llama 3.1 70b open-source baseline, all pinned to Kingdom infrastructure.
Repeatable across any industrial authority or Vision 2030 entity.
MODON staff · Investors · Tenants
36+ industrial cities reachable
AICE brand (MODON-owned)
Arabic-native · Kingdom SLAs
Adaptive Studio · ACE Co-pilot · Gen-AI Studio
Three Katonic surfaces
Katonic Platform · Llama 3.1 70b baseline
Open-source LLM + RAG + fine-tuning
ISO 42001:2023 · NSDAI · Vision 2030
PMO-governed, auditable
Saudi-resident infrastructure
In-Kingdom only
Industrial Land Management AI Assistant
Automated land allocation recommendations · predictive maintenance for industrial facilities · environmental impact assessment.
Investor Services Enhancement
AI-powered investor matching · automated application processing · risk assessment and compliance checking.
Document Processing Automation
Automated contract review · permit processing optimisation · multilingual document intake.
HR Process Automation
Resume screening · employee query handling · onboarding acceleration.
M1
Lead with strategy, not technology
Two months of strategy work before any platform spin-up. Goals, KPIs, operating model, and a 3-year initiative roadmap, signed off at the executive level, make every subsequent build decision defensible.
M2
Bake ISO 42001 in from day one
AI governance is not a final-quarter activity. Controls are instrumented in the platform during implementation, not bolted on at audit time. The certification path becomes a side-effect of the build.
M3
Pick industrial use cases, not chatbots
Land management, investor services, permit processing, predictive maintenance. Use cases tied to revenue, compliance, and citizen service, not generic productivity. Each one carries a defensible ROI line.
M4
Arabic-native, Saudi-resident operations
Arabic-speaking program management on the ground. Workloads pinned to Kingdom infrastructure. Cultural and regulatory fit isn't a feature, it's the entry ticket.
M5
Stand up a PMO, not a project
Dual PMOs at the department and corporate level make AICE a permanent operating capability. The centre keeps producing initiatives long after the implementation programme closes.
Industrial authorities & SEZ operators
National bodies managing industrial cities, free zones, or technology parks where land, permits, and investor workflows dominate.
Vision 2030 / national transformation entities
Government organisations executing against multi-year national strategies, with mandates around AI adoption and sovereign data residency.
Sovereign wealth & PIF portfolio companies
Holding-company-backed operators that need to demonstrate AI maturity, ISO 42001 alignment, and measurable AI ROI across portfolio assets.
A 30-minute workshop to map the MODON AICE playbook onto your mandate, your data perimeter, and your priority use cases.
Output: target architecture, Tier-1 use cases, and a 24-month operating plan.
