Rico Auto’s global OEM customers demand flawless quality and rapid response. Yet, siloed data across production, supply chain, and quality systems slows insight and action — risking customer trust and revenue.
SCIKIQ contextualizes Rico’s operational, asset, and supplier data into actionable intelligence, enabling real-time root-cause analysis, predictive quality, and autonomous interventions — for measurable uptime, compliance, and customer satisfaction.
Captured from 28 sources across strategy, leadership, lines of business, competition, geographies, capabilities and recent signals — and used to ground everything below.
The maturity curve runs from visibility, to explanation, to natural-language reasoning, to action — and each step depends on the one before it.
Unify production, asset, supplier, and quality data across Rico’s plants and JVs for a single, live view of operations and risk.
Unified OpsMap relationships between machines, batches, vendors, and incidents to trace root causes and systemic risks in real time.
Root CauseConversationally query production issues, compliance gaps, or supplier delays — and get answers grounded in Rico’s live data.
Explainable AIDeploy autonomous agents to trigger corrective actions, notify stakeholders, and orchestrate workflow fixes — closing the loop from insight to impact.
Autonomous OpsBuilt bottom-up, because trust compounds upward: agents are only as safe as the copilot's grounding, the copilot only as reliable as the graph, the graph only as complete as the 360° model beneath it.
Connects Rico’s MES, ERP, supplier, and quality systems for a unified, real-time operations dashboard.
Models relationships between assets, processes, suppliers, and incidents to reveal hidden risks and root causes.
Natural language interface for Rico’s data, enabling leaders to ask complex questions and get clear, actionable answers.
Deploys digital agents to execute corrective actions, notify teams, and update systems — autonomously.
Enterprise 360 is the foundation every layer above reuses. We don't integrate systems — we integrate business concepts. Rico Auto Industries Ltd's data stays where it is; SCIKIQ connects, contextualizes and resolves it into trusted entity 360s.
200+ no-code connectors pull from every source — no rip-and-replace, no data movement.
The metadata & contextualization engine maps each field to a shared business glossary.
Entity resolution stitches records across systems into one record per real-world entity.
Lineage, quality & access control attach to every entity — so the 360 is trusted.
One trusted profile per customer — across every channel and system.
Every asset with its live health, history and failure risk.
Orders, service levels and capacity in one operational view.
Every supplier with SLA, spend and delivery risk.
Revenue, cost and exposure traceable to their operational drivers.
SCIKIQ delivers 85% faster integration and 90% lower IT cost vs. custom builds — with 200+ pre-built connectors for manufacturing, ERP, and QA.
Goes beyond dashboards: contextualizes Rico’s end-to-end operations, traces root causes, and enables autonomous actions — not just reporting.
Purpose-built for manufacturing: models assets, batches, vendors, and compliance, not just generic data flows.
Grounds every answer in Rico’s real, governed data — with explainable lineage and compliance, not hallucinated text.
When the four layers are in place, leadership sees a single live view — every number traceable to its source, every alert to its root cause.
Entities and their typed relationships as one connected, physics-driven graph. Drag nodes, scroll to zoom, click to inspect — or trace the live scenario from root cause to business outcome.
Ask SCIKIQ Copilot anything about your operations, incidents, or compliance — and get answers in context. Language models supply the fluency; the graph supplies the truth.
Every agent draws on the same graph and semantic layer — then closes the loop with a real transaction in the source system.
“Can we trust it?” — answered by design, not by promise.
Every leader sees themselves — each use case builds on a business 360 and the four pillars it needs: 1 Enterprise 360 · 2 Knowledge Graph · 3 AI Copilot · 4 Agent Factory.
Live, unified view of all lines and assets, with early warning and root-cause tracing for every incident.
Trace every defect to its source, automate compliance reporting, and reduce ISO/SLA violations.
Map supplier delays to production risk, trigger expedites, and ensure batch-to-vendor traceability.
Instantly identify customers at risk from incidents, automate notifications, and protect revenue.
Quantify and mitigate revenue at risk from OTIF penalties, defects, and compliance breaches.
Built once, the context layer becomes shared infrastructure — so each new AI initiative starts from enterprise context, not a blank integration backlog.
We would prove the context layer in three focused sprints — earning the right to scale with evidence, not slideware.
Connect core MES, ERP, and supplier data for one live operational view.
Build knowledge graph and enable Copilot for root-cause and compliance Q&A.
Deploy agents for maintenance, vendor, customer, and compliance workflows.
Rico achieves real-time, contextualized manufacturing intelligence — with measurable reduction in downtime, compliance risk, and customer impact.