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KYBER · FOR ENTERPRISE
Enterprise AI Decisioning / POC
KYBER integrates ERP, CRM, WMS, e-commerce, finance, documents and internal SOPs into a dedicated business semantic layer — so AI can read your data the way your business does, and support faster, sharper, traceable management decisions.
PRODUCT INTRO
KYBER at a glance
ARCHITECTURE
A three-layer AI decisioning core
LAYER 01 · Data Integration
Unify scattered enterprise data
ERPCRMPOSWMSE-commerceFinanceExcelGoogle SheetSOPPDF / Docs
LAYER 02 · Semantic Layer
Let AI read data in business terms
High-value customerChurn riskInventory pressureMargin structureWin probabilityLead-time riskChannel efficiencyARPU growth
LAYER 03 · AI Decisioning
AI returns decisions, not just answers
Natural-language queryDashboardAlertsRecommendationsAPIHuman-in-the-loopAgent automation
POC / MVP TIMELINE
Flexible rollout: POC 2–3 weeks, MVP 6–8 weeks
Every enterprise has different decision-making complexity. We use a "minimum verifiable scope" as the core principle, dynamically adjusting timeline and resource allocation based on the number of data sources, integration depth, and user scale.
TRACK 01 · POC
2–3 weeksProof of Concept
Validate AI feasibility and business value for a single decision scenario at minimum cost.
Scope1 decision scenario | 1–2 data sources | 5–10 internal users
DeliverablesWorking prototype, performance report, feasibility assessment
Flexible timing
2 weeksData ready, single scenario
3 weeksCross-system integration or semantic layer design required
TRACK 02 · MVP
6–8 weeksMinimum Viable Product
Expand a validated scenario into an operational product with permissions and audit trails.
Scope2–3 decision scenarios | Multi-source integration | Department-level users
DeliverablesDashboard / Agent / Workflow, permission system, operations manual, training
Flexible timing
6 weeksStraightforward extension from existing POC
8 weeksMulti-system integration, cross-department, advanced AI Agent
COMMON PHASES · Three shared stages
01
Diagnose & Align
Scenario mapping, data source inventory, success metric definition
02
Build & Validate
Data wiring, model configuration, sandbox testing and tuning
03
Go-Live & Deliver
Business acceptance, documentation and training, performance review
CTA