AI becomes genuinely useful for a business when it is connected to the data and systems the business actually runs on — not just answering questions in a chat window.
What you will learn
Why this matters
The gap between a capable AI model and a useful AI system is integration. Most businesses that have explored AI tools report the same pattern: impressive demonstrations, limited real-world application. The reason is almost always the same — the AI is disconnected from the actual data the business operates on. A marketing team's CRM, an operations team's inventory system, a finance team's invoice workflow: these are where the work actually happens. An AI that cannot read from and write to these systems cannot meaningfully participate in the work.
The Model Context Protocol has formalised how AI systems connect to external data sources and tools — creating a standardised way to give models access to databases, APIs, and business applications without building bespoke integrations for every combination. This module covers both the protocol-level understanding and the practical implementation: how to build the server infrastructure that exposes your data to an AI model, how to extract structured data from the web at scale, and how to orchestrate multi-step workflows that run without supervision.
How the training works
The one-day intensive is structured around three progressive builds. The morning session covers AI server construction: how to define what data sources and tools an AI can access, how to handle authentication and permissions, and how to test that the connection works reliably. Participants build a working AI server connected to a real data source before the midday break.
The afternoon covers web data extraction and workflow orchestration. The extraction section focuses on building pipelines that collect structured data from public sources and feed it directly into AI processing — useful for competitive intelligence, lead enrichment, and market monitoring. The orchestration section covers how to chain multiple steps into a workflow that triggers from real events, handles failures gracefully, and produces auditable outputs. Participants leave with two complete working automations.
Lead Trainer
Jayden Sue Jun Hong
Founder, MeetBranding · Kuala Lumpur, Malaysia
Every module taught by this trainer is built from work currently being executed for clients. No guest lecturers. No slide-readers. The strategies covered are the same ones running in active client engagements today.
Frequently asked
Book this module
Venue, attendees, and schedule are on you. MeetBranding delivers the training. Custom programmes can be tailored to your team's specific tools and context.