Plainsight
AI Strategy

AI-gentification

Written by David Loos

During the Industrial Revolution, the rise of electricity required every company to have a "Chief Electricity Officer". During the AI revolution, the rise of AI agentic capabilities requires every company to have a "Chief Agentic AI Officer"

Unveiling the Future of Business with Agentic AI: The Magnetic AI Canvas

Every company is suddenly expected to do something with AI. Fewer can say who is responsible for doing it well. Adopting the technology turns out to be the easy part; implementing it in a way that creates a competitive edge is where things get hard. That gap is exactly what the Agentic AI Canvas is for.

The Rise of the AI Revolution: From Chief Electricity Officer to Chief Agentic AI Officer

Every major technological shift has created new leadership roles. During the Industrial Revolution, when electricity became the driving force of modern industry, organizations needed a "Chief Electricity Officer" to manage this new power.

Today, AI is doing to the digital and operational side of business what electricity did to the physical side. The rise of AI agentic capabilities calls for a Chief Agentic AI Officer: someone who guides how AI gets woven into operations.

Which leaves the practical question: where do you start, and how do you get the full value out of AI? That is the job of the Agentic AI Canvas, a tool designed to make this complex transition more manageable.

The Agentic AI Canvas: A Comprehensive Framework

The Agentic AI Canvas is a structured framework for integrating AI into your operations with intent. It maps the elements that determine whether AI produces business outcomes: roles, organizational needs, data assets, technology, and processes.

Key Elements of the Canvas:

  • Roles & Organization: which new roles you need, starting with the Chief Agentic AI Officer, and how existing roles evolve when AI enters the picture.

  • Key Data Assets: which data sets are critical for your AI applications. Data comes first; the canvas makes you name it.

  • Technology: which technologies you select to make the AI integration work.

  • Processes: which existing business processes AI can optimize for better efficiency and outcomes.

  • Business Outcomes: the measurable results all of this has to produce: cost savings, increased revenue, or improved customer experiences.

Map these components out and you see how AI fits your specific business, not a generic one. That is what keeps you competitive in an increasingly automated world.

Customizing AI to Your Business Needs

The canvas adapts. A startup fills it in differently than an established corporation, and that is the point: it is a blueprint for a customized AI strategy, shaped by your own organizational context.

It also scales. As your business grows or new AI technologies emerge, the canvas evolves with you, so your AI strategy keeps up with what is possible.

**Request your copy of the Agentic AI canvas

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David Loos

David Loos

David is co-founder of Plainsight and has been in data and analytics for well over fifteen years. He's held every role from developer to program manager, and has led data strategy and architecture for organizations like Delhaize, VDAB, Fluvius, and Barco. He completed Vlerick's Advanced Management Programme, which says as much about how he thinks about business as it does about data.

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