A Different Kind of AI Advisory Practice

A white table with two glasses of water, a silver laptop, a wooden lamp, two vases with calla lilies, and two people sitting across from each other, one holding a pen and notebook, in a room with beige curtains and a wood-paneled wall.

Responsible AI requires more than a policy.

Most organizations already have guidance.

The challenge is helping leaders, managers, and employees make consistent AI decisions every day.

Ivy Orion translates governance into operational practice.

Our Approach

One framework. Five conversations.

ORBIT™ is the practical decision system we use in every engagement to help organizations make consistent AI decisions—from the first use case through long-term governance.

01

Observe

Understand your current environment, goals, and existing AI use before you act.

02

Risk

Determine where AI belongs, where it does not, and what level of oversight is appropriate.

03

Build

Translate decisions into clear guidance, validation expectations, ownership, and workflows.

04

Implement

Put governance into practice through usable procedures, manager support, and employee enablement.

05

Track

Monitor adoption, review new use cases, and strengthen governance as AI capabilities and risks evolve.

Why It Works

Why organizations choose Ivy Orion.

Practical before theoretical

We focus on what people can actually use—not abstract models that are difficult to apply in daily work.

Facilitation over prescription

We bring people together to make informed decisions that reflect their operating environment and organizational goals.

Governance proportional to risk

Validation and oversight match the potential impact and probability of consequential error—not simply whether AI is used.

Built to last

We strengthen internal capability so your organization can continue making better AI decisions after the engagement ends.

We don’t help organizations adopt more AI.
We help them make better AI decisions.