For Businesses

The Problem

Most businesses today know AI matters — but few know where to start. The landscape is noisy, full of tools and hype, with little clarity on how AI actually reshapes operations. Leaders face endless sales pitches, conflicting advice, and constant pressure to “do something with AI.”

The result? Endless pilots, scattered initiatives, and wasted effort. AI ends up as a collection of disconnected tools rather than a foundation for real value creation.

Our Approach

At X29.ai, we run experimental programs to discover how AI can truly create value. But research alone isn’t enough. Experiments have to be translated into something leaders can act on.

That’s why we built Conducting.ai — the productisation of our research. It’s how we take what we learn in the lab and package it for businesses that want structure, clarity, and measurable results.

The Solution via Conducting.ai

Conducting.ai gives companies a clear, structured framework for AI adoption:

• Roadmaps that show the progression from AI-enabled to AI-native.
• Org charts redesigned around copilots, agents, and automations.
• Workflow mapping that links SOPs, data, and existing software into new AI-driven processes.
• Practical guidance for deciding what to adopt, when to adopt, and why.

It’s the distillation of our research and packaged for leaders who want clarity and execution.

Why It Works

Think of Conducting.ai as the bridge between experimental lab and enterprise execution. Businesses don’t just get ideas — they get strategy models, structured playbooks, and a clear path to value.

Every insight is grounded in research with CIOs, transformation leads, and AI agencies. By standing on this research, companies avoid dead ends, accelerate adoption, and focus only on what drives results.

The Grumman X-29 in Flight

Our inspiration comes from the Grumman X-29, an experimental jet that defied convention with forward-swept wings and unstable aerodynamics. On paper, it shouldn’t have been able to fly. In practice, with the right design, it proved instability could become agility.

Conducting.ai does the same for business. In a noisy, unstable AI landscape, it provides the frameworks and control systems that allow companies to move forward with clarity and confidence.

The Outcome

Companies working with Conducting.ai don’t waste time chasing shiny tools or starting from scratch. Instead, they get a tailored AI operating model:

• Efficiency gains that free up resources.
• Growth strategies that are tested, not theoretical.
• An enterprise designed to compete in the AI-native era.

In other words, Conducting.ai turns experimentation into growth, efficiency, and lasting enterprise value.

Closing Thought

The Grumman X-29 proved that instability could be engineered into advantage. Conducting.ai does the same for business — harnessing the turbulence of AI change and turning it into clarity, structure, and measurable impact.