XOX operates a network of ~1.5 million subscribers across Malaysia. The data already sampled reveals a significant revenue intelligence gap — and a clear path to closing it with AI.
XOX has 1.5 million subscribers, 5+ years of transactional data, and no unified intelligence layer to act on it. Today, decisions are made on monthly exports and gut feel. AI-native competitors will outperform on retention and ARPU within 18–24 months unless XOX builds this now.
Not a chatbot. Not a dashboard. A complete intelligence layer that makes XOX's own data actionable — in real time, at scale, with AI doing the heavy lifting.
The Data Hub is XOX's single source of truth. All data, from all systems, flows through three layers:
All data stays in XOX infrastructure. MCMC and BNM compliant by design.
STRATUM Data Hub: stratum-data.pages.dev — Bronze/Silver/Gold pipeline + Mastermind layer
NEXUS Intelligence: stratum-nexus.pages.dev — People intelligence, onboarding, meeting intel
Client names anonymised. Architecture is live — not a mockup.
XOX is currently evaluating at least one other AI vendor proposal. It is important that leadership understands the fundamental difference in scope before making any commitments.
Signing a RM 69k FAQ bot now creates a false sense of "AI done." When the board asks what XOX has done on AI, leadership points to a WhatsApp bot that answers billing questions. Meanwhile, the underlying data — churn signals, ARPU opportunities, 13TB/month of CDR — remains untouched.
The right question to ask any AI vendor: "Can you show us one live enterprise deployment with measurable deflection data and a reference client we can call?"
To be clear: Fast Technology is not competing with a RM 69k chatbot. We are proposing a fundamentally different investment — the AI infrastructure layer that XOX needs to remain competitive in the next 3–5 years.
If XOX wishes to deploy a WhatsApp bot as a short-term measure, that is a separate decision. Fast Technology's platform sits beneath and above any such tool — as the intelligence layer that powers it.
Fast Technology is in discussions with EngageLab (Aurora Mobile, NASDAQ: JG) as a strategic delivery partner. This creates a complete engagement loop:
| Layer | Owner | What It Does |
|---|---|---|
| AI Intelligence | Fast Technology | Churn prediction, ARPU segmentation, Subscriber 360 — decides who to target and what to say |
| Data Infrastructure | Fast Technology | Medallion pipeline, ClickHouse warehouse, Mastermind agent mesh |
| Engagement Delivery | EngageLab | WhatsApp, SMS, Push, OTP, AppPush — enterprise-grade delivery rails at telco scale |
| Silent OTP / Auth | EngageLab | Natively solves XOX eWallet OTP requirement — BNM §10.17 compliant path |
EngageLab credentials: 600,000+ enterprise clients including China Telecom, Ping An Bank, Alipay, BYD, Lenovo. SOC2 certified. Aurora Mobile listed NASDAQ: JG.
Fast Technology operates on a Build + Maintain model. We deliver the platform, then remain as the long-term managed service provider — continuously maintaining, improving, and evolving the AI layer. XOX gets enterprise AI capability without headcount risk or knowledge-transfer dependency.
| Model | 12-Month All-In | After Year 1 | XOX Owns |
|---|---|---|---|
| Traditional Full Vendor | RM 600,000 – 900,000 | Renegotiate or rebuild | Nothing — vendor dependency |
| Fast Tech AI-Native | RM 368,000 – 438,000 | Managed retainer only | Full platform + data + IP |
| Saving vs Full Vendor | RM 160,000 – 460,000 | Saving widens every year post-M12 | |
| Role | Type | Coverage | When |
|---|---|---|---|
| AI Specialist (Key Hire) | Full-Time | Full-stack AI — frontend, dashboards, tooling, APIs, pipelines | Onboard by Month 2 |
| Integration Engineer | Full-Time | Backend, data pipelines, MVNO systems liaison | Onboard by Month 2 |
| Fast Technology (retained) | Managed Service | Telco/MVNO billing, provisioning, MCMC integration layer. Architecture, AI strategy | Month 1 onwards |
| XOX In-House (required) | XOX Team | BNM compliance, AML/CFT, KYC, MCMC regulatory — cannot be outsourced by law | Existing team |
Team salaries RM 19–22k + EPF/SOCSO RM 2.5k + AI tools & infrastructure RM 2k. AI-native engineers (Cursor/Claude Code/Copilot-fluent) deliver 3–5× output vs traditional engineers — one AI specialist replaces 1–2 vendor developer slots.