INSIGHTS.
AI Venture Design
Designing Product Analytics for AI Agents
Track feature adoption, technical reliability, and user outcomes to align AI behavior with real business goals and prevent launch failures.
Data Modeling
Data Modeling for AI Agents pt.3: the Orchestration Layer
How to structure DAGs, SOPs, and procedural rules to guide planning agents.
Data Modeling
Data Modeling for AI Agents pt.2: the Context and Knowledge Layer
How to design a CKMS that turns raw data into actionable context for AI agents, with metadata modeling and vector storage.
Data Modeling
Data Modeling for AI Agents pt.1: the Systems of Record Layer
How to model core business and operational data for multi-agent AI systems.
Data Modeling
Data Modeling for Multi-Agent Architectures in AI Systems
How to structure data across Systems of Record, CKMS, and Orchestration layers to ensure multi-agent AI systems operate consistently, avoid duplication, and maintain contextual alignment.
Operating Systems
Framework to Automate E-Commerce Operations with AI Agents
Learn how to automate e-commerce operations with AI agents. This 6-step framework helps e-commerce brands streamline workflows, improve fulfilment, and enhance customer experience using practical AI automation.
AI Venture Design
What Is an AI Startup Roadmap? And Why Successful Founders Need One
Most AI ideas fail before they start not because the technology isn't ready, but because the founders aren't. An AI startup roadmap helps turn an early concept into a validated, buildable plan
AI Strategy
What is an AI strategy? And How Growth-Stage Companies in Dubai Can Get it Right
Learn what an AI strategy is and how growth-stage companies, startups, and digital brands can build an actionable roadmap to drive measurable business outcomes, maximise ROI, and scale successfully.
Operating Systems
3 Examples of AI Agents to Streamline Business Operations for Startups
Discover 3 real-world examples of AI agents startups can deploy today to reduce manual operational work in claims processing, customer experience, and logistics. And how your business can do the same.
Data Modeling
Why E-Commerce Demand Forecasting Fails Without a Unified Data Model
Most e-commerce brands blame algorithms when forecasts miss. However, the real problem is fragmented data: orders, inventory, and supplier systems that don't speak to each other.