About The Agentic Practice

Thought leadership on agents, orchestration, and AI-native work.

The Agentic Practice is a thought leadership blog about the shift from AI as a tool to AI as a new way of working.

For the past few years, most organizations have experienced generative AI through prompts, copilots, and chat interfaces. These tools helped individuals move faster, but they did not fundamentally change how work flows through a business.

Agentic AI changes that.

It introduces a new operating model where AI systems can understand context, plan across steps, use tools, collaborate with people, and help move work from intent to outcome. This is not just a technology shift. It is a shift in how teams operate, how software is designed, how decisions are governed, and how businesses create value.

The Agentic Practice explores that shift.

This blog focuses on the emerging discipline of designing, building, governing, and operating agentic systems in real-world organizations. It is about moving beyond AI experiments and into repeatable practices that create measurable business impact.

What this blog covers

The Agentic Practice explores topics such as:

  • Agentic AI and autonomous workflows
  • Human-in-the-loop orchestration
  • AI-native product and platform strategy
  • The future of marketing operations
  • Enterprise AI governance and trust
  • The changing shape of software
  • How organizations should redesign roles, teams, and operating models
  • The move from prompts and copilots to agents, workflows, and systems of action

The central belief behind this blog is simple:

The winners in the AI era will not be the companies with the most prompts. They will be the companies that redesign how work gets done.

Agentic AI is not about removing people from the loop. It is about creating better loops between people, context, systems, and action.

It is about giving teams the ability to operate with more intelligence, more speed, and more adaptability, while still preserving human judgment, governance, and accountability.

About Mo Cherif

I am Mo Cherif, a product and AI leader focused on how artificial intelligence is changing software, marketing, and the way organizations operate.

I lead work across AI strategy, innovation, and agentic systems, with a focus on turning emerging AI capabilities into real products, platforms, and business outcomes. Much of my work sits at the intersection of product strategy, enterprise software, marketing technology, AI orchestration, and organizational transformation.

My current focus is on how companies move from isolated AI features and experiments into AI-native operating models, where agents, workflows, human review, governance, context, and business systems work together.

I spend a lot of time thinking about questions like:

  • How does software change when AI can take action?
  • What does an AI-native organization look like?
  • How should teams be structured when agents become part of the workforce?
  • What should humans continue to own?
  • How do we govern AI systems that can reason, decide, and act?
  • How do companies turn AI from experimentation into measurable impact?

The Agentic Practice is where I explore those questions.

Why "The Agentic Practice"?

The word agentic describes systems that can do more than respond. They can reason, plan, use tools, coordinate steps, collaborate with humans, and act toward a goal.

The word practice is just as important.

Agentic AI will not succeed through technology alone. It requires new practices: new patterns, new roles, new governance models, new product thinking, and new ways of designing work.

That is why this blog is called The Agentic Practice.

It is not only about what agents can do.

It is about how organizations learn to practice this new way of working.

Who this is for

This blog is for product leaders, marketing leaders, technologists, executives, strategists, builders, and operators trying to understand what comes after the chatbot era.

It is for people who believe AI will not simply be another feature inside existing software, but a forcing function that changes how work itself is designed.

The future of AI will not be defined by better prompts alone. It will be defined by better systems, better operating models, and better practices.

That is the work ahead.

That is The Agentic Practice.