AI enablement for the domain experts already in your organization.
They can become the people who drive your AI transformation.
I collaborate with contributors across an organization, both technical and non-technical, introducing them to AI tools and coding agents and unlocking their domain expertise to give them the opportunity for organization-wide impact.
ScrollLearning to use AI effectively takes far less time than building deep domain expertise, which can take thousands of hours, if not entire careers.
Right now, many large organizations employ a wealth of domain experts who just don't know how to use AI tools yet.
My role is to collaborate with, coach, and enable these individuals, and to plant the seeds so that when it finally clicks, these are the people who will create and enact the AI transformation you're looking to make in your organization.
What AI enablement looks like
The goal is not adoption for its own sake. It is to connect the people who know the work with the tools and practices that let them improve it.
Step 1
Find the practitioners
Identify people with deep knowledge of the work, strong curiosity, and problems they are motivated to solve.
Step 2
Build on real work
Pair with them on actual workflows, prototypes, and production contributions so the learning is immediately grounded.
Step 3
Create internal leverage
Help early practitioners share methods, tools, and judgment so capability spreads through peers instead of staying with a vendor.
This work can include structured AI upskilling, embedded coaching, and direct collaboration on the first tools or workflows. See how that progression works in practice.
AI enablement questions
- What is AI enablement for domain experts?
- AI enablement gives people who understand the work the tools, coaching, and engineering support to improve that work with AI. It connects domain knowledge directly to prototypes, software, analysis, and repeatable workflows.
- Do participants need a software engineering background?
- No. The approach works with technical and non-technical contributors. The level of support changes by person, while the standard for useful, testable, and responsibly shipped work stays high.
- How is this different from generic AI training?
- Generic training usually teaches a tool or a set of prompts. Enablement happens in the context of the team’s real systems and problems, so people build practical judgment and create work the organization can keep using.
- What can domain experts produce with coding agents?
- With the right support, domain experts can prototype internal tools, analyze data, automate workflows, contribute production changes, and communicate much more precisely with engineering teams.