From Experimentation to Operating Advantage
Industrial AI Transformation
What it is
Industrial AI Transformation is a customized strategy and implementation program purpose-built for companies where performance depends on complex work, expert judgment, safety, coordination, and execution. We help leaders identify where AI can create value, govern its use, test it in real workflows, and scale what works. The goal is to change how work gets done.
What Transformation Changes
AI transformation becomes real when three things change together: what people can do, how work moves through the business, and how the organization learns and adapts.
What Transformation Changes
AI transformation becomes real when three things change together: what people can do, how work moves through the business, and how the organization learns and adapts.
Process
How It Works
Seven stages. One customized path.
01
Clarify why AI matters, what leaders want to change, the desired business outcomes, executive ownership, and the organization’s appetite for risk.
02
Gather leadership input and examine existing AI use, workflows, data, systems, skills, and organizational readiness.
03
Define the council, policy, guardrails, decision rights, and feedback mechanisms required for responsible experimentation and learning.
04
Surface task-level use cases and evaluate them against business value, feasibility, data readiness, risk, adoption needs, and strategic relevance.
05
Sequence use cases, capability investments, governance, training, technology decisions, owners, measures, and dependencies into a practical path forward.
06
Test priority use cases with real people and real work, measure the results, redesign the workflow, and decide what deserves to scale.
07
Standardize what works, train the organization, codify the learning, and make the technology decisions required to sustain and scale it.
Scale what works. Feed the learning into the next cycle.
Seven stages. One customized path.
01
Clarify why AI matters, what leaders want to change, the desired business outcomes, executive ownership, and the organization’s appetite for risk.
02
Gather leadership input and examine existing AI use, workflows, data, systems, skills, and organizational readiness.
03
Define the council, policy, guardrails, decision rights, and feedback mechanisms required for responsible experimentation and learning.
04
Surface task-level use cases and evaluate them against business value, feasibility, data readiness, risk, adoption needs, and strategic relevance.
05
Sequence use cases, capability investments, governance, training, technology decisions, owners, measures, and dependencies into a practical path forward.
06
Test priority use cases with real people and real work, measure the results, redesign the workflow, and decide what deserves to scale.
07
Standardize what works, train the organization, codify the learning, and make the technology decisions required to sustain and scale it.
Scale what works. Feed the learning into the next cycle.
Ready to Put AI to Work?
Every transformation starts with a fit conversation. Share your email and we’ll follow up to learn what your organization is trying to change and whether the program is the right next step.
Have Questions?
Email us at info@six06strategy.com or submit an inquiry form.
© 2026 Six06 Strategy All Rights Reserved
Six06
Have Questions?
Email us at info@six06strategy.com or submit an inquiry form.
© 2026 Six06 Strategy All Rights Reserved
Six06
Have Questions?
Email us at info@six06strategy.com or submit an inquiry form.
© 2026 Six06 Strategy All Rights Reserved
Have Questions?
Email us at info@six06strategy.com or submit an inquiry form.
© 2026 Six06 Strategy All Rights Reserved