Context & Access: How AI Connects Your Systems and Gets Work Done
AI can write, summarize, and generate ideas. Getting it to reliably support real work across your business is a different challenge.
For AI and AI agents to work effectively, they need more than access to another software tool. They need the right business context: how work gets done, where information lives, which systems are involved, what they are allowed to access, and when a human must remain in control.
Business leaders don’t need to become technical builders. But they do need to understand these decisions well enough to guide the people building and implementing AI for them.
In this session, Niels de Vries will show business owners and leaders how to evaluate their workflows through an AI-ready lens. Drawing from anonymized client implementations and the same operating model used inside his consulting practice, Niels will explain what needs to be understood before AI is connected across a business.
You’ll learn how to:
Identify workflows where AI can produce a meaningful business outcome
Determine what information and context AI needs to perform reliably
Understand which systems, data, and people are involved in a workflow
Define access, permissions, approvals, and human oversight
Give internal teams, consultants, and technical builders clearer requirements
Decide which tasks should be automated and which should remain human-led
This is a business leadership session, not a technical build workshop. You won’t be asked to code or design an AI agent. You’ll leave with a practical framework for deciding where AI fits, what it needs, what controls must be in place, and whether the expected outcome justifies the investment.
About Niels de Vries
Niels previously built enterprise optimization systems for utilities and infrastructure, supporting environments responsible for $75 billion in assets and $40 billion in capital investment.
He is now the founder of bridge 2 AI, which leads AI implementation and production-scheduling initiatives across multiple manufacturing facilities. Its work combines leading off-the-shelf AI tools with B2, its proprietary production-scheduling platform.