Kocon
Interactive
template
for startup
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The Challenge Facing Nigerian Wealth Institutions
Fragmented Client Intelligence
Manual, Portfolio Management
Reactive Client Engagement
Where Do You Need More Intelligence?
4 Outcomes that Powers
your Business
Predict
Understand
Reason
Execute
Days
Seamless
Scalable
7 Layers of Centric AI
Layer 1 – Trust & Safety
▪ Secure connectors, configurations, governance, and compliance.
▪ Provenance, explainability, and protection against bias and threats.
Layer 2 – Data Lab (Explore & Transform)
▪ Exploration, profiling, and feature engineering.
▪ Transformation pipelines guided by business intent.
Layer 3 – Model Studio
▪ No-code model creation guided assistance.
▪ Experimentation, benchmarking, and iteration.
▪ Models as engines of business prediction and reasoning.
Layer 4 – Deployment Topology
▪ Cloud, hybrid, on-prem, or edge deployments.
▪ API-first, embedded, or workflow-integrated patterns.
Layer 5 – Flow Engine
▪ Orchestrating models into end-to-end workflows.
▪ Driving business processes with dynamic AI flows.
▪ Compounding ROI by embedding intelligence in how work gets done.
Layer 6 – Decision Intelligence
▪ Dashboards, explainability, and KPI mapping.
▪ Turning model and workflow outputs into actionable decisions.
▪ Bridging technical performance with business strategy.
Layer 7 – AI Planner
▪ Suggests new models, workflows, and value streams.
▪ Detects gaps and evolving opportunities.
▪ Guides the enterprise toward self-optimizing intelligence.
