Identifying Workflows for AI Value & Impact
From AI Possibility to Prioritized Opportunity
A Practical Working Session

AI can support hundreds of tasks. The question is where it should.
The challenge for most leaders is no longer finding possible uses for AI. It is determining which workflows are worth applying AI to, where meaningful value can be created, and what should be prioritized first.
In this practical workshop, you will learn how to examine the work already happening across your role, team, or business and identify where AI could produce measurable improvements in time, cost, capacity, quality, decision-making, customer experience, or business outcomes.
Rather than starting with an AI tool and asking what you can do with it, you will learn to start with the work, understand the problem or opportunity, and determine whether AI is the right intervention.
No technical background is required. The focus is on developing the judgment leaders need to identify and prioritize strong AI opportunities.
Start with the work.
Identify the opportunity.
Assess the value.
Prioritize what matters.
What Participants Will Learn
Workflow Discovery and AI Opportunity Identification
Participants will learn:
- How to break down a business process or recurring activity into workflows, tasks, decisions, inputs, and outputs.
- How to identify repetitive work, bottlenecks, delays, manual handoffs, information gaps, and other areas where AI may create value.
- Which characteristics make a workflow more or less suitable for AI assistance or automation.
- How to distinguish between a task that can use AI and a workflow where AI would actually be valuable.
- Why AI opportunity identification should begin with business needs and workflow realities rather than available tools.
- How human judgment, risk, data sensitivity, and accountability affect whether an AI opportunity should move forward.
Value Assessment and Opportunity Prioritization
Participants will learn:
- How to evaluate AI opportunities based on potential business value, feasibility, risk, and implementation effort.
- How to identify the type of value an AI use case is expected to create, including time savings, increased capacity, improved quality, reduced cost, faster decisions, or better customer outcomes.
- How to avoid prioritizing highly visible AI ideas that have little operational or strategic value.
- How to develop an initial value hypothesis before investing in an AI solution.
- How to compare multiple AI opportunities and determine which should be explored first.
- How to define simple measures that can later be used to determine whether an AI implementation is actually producing value.
Practical Takeaways
Participants will leave with:
A Workflow Opportunity Map
Identifying areas within their role, team, or business where AI may create meaningful value.
An AI Opportunity Assessment
For evaluating potential use cases based on value, feasibility, risk, and effort.
A Prioritized AI Use-Case Shortlist
Distinguishing high-potential opportunities from lower-value experimentation.
An AI Value Hypothesis
Connecting one selected opportunity to the specific improvement it is expected to create.
A simple measurement framework
For determining what success would look like before implementation begins.
Mark your calendar.
Date
September 24, 2026
Time
1:00 PM CT
Format
Live via Zoom
Investment
$99
Reserve Your Seat
This is a working session, not a webinar.
Participants will actively examine workflows from their own role, team, or business and apply the workshop frameworks to identify practical AI opportunities.
Seats are limited to preserve the interactive workshop format.
Reserve Your SeatDesigned for the people responsible for making work better.
This workshop is designed for nontechnical professionals, leaders, managers, business owners, and organizational decision-makers who want to move beyond experimenting with AI tools and begin identifying where AI can create meaningful operational or business value.

It is especially useful if you are:
- Responsible for improving a process, service, team, or business.
- Exploring where AI could improve productivity or capacity.
- Evaluating multiple possible AI use cases and unsure where to begin.
- Trying to connect AI adoption with measurable outcomes.
- Leading AI conversations without needing to become a developer.
- Looking for a structured way to decide what should and should not be AI-enabled.
You do not need an AI strategy or technical team to participate. You need a real workflow, process, or business challenge you are willing to examine.
Dr. Gbemisola Adetayo

Founder, AI Ready Leaders
Dr. Gbemisola Adetayo is the founder of AI Ready Leaders and Principal at Arrell Advisory. She works as an AI transformation and governance consultant, helping leaders connect AI strategy with organizational priorities, workflow realities, human judgment, accountability, and measurable value.
Her experience includes enterprise digital delivery work associated with The Coca-Cola Company and lululemon, AI policy research activities with the Center for AI and Digital Policy, and professional education focused on responsible AI adoption and organizational readiness.
βThe goal is not to find more ways to use AI. It is to identify where AI can meaningfully improve how work gets done.β
- Dr. Gbemisola Adetayo, Founder, AI Ready Leaders
Frequently Asked Questions
Do I need a technical background to attend?
Do I need to have attended the August workshop?
Should I come with a specific workflow or business problem?
Will we build an AI tool during the workshop?
How is this different from simply brainstorming AI use cases?
What happens after I identify an opportunity?
Stop Asking Where You Can Use AI.
Start identifying where AI can create value.
Thursday, September 24, 2026 Β· 1:00 PM CT Β· Live via Zoom
Bring a real workflow. Leave with a structured way to identify, assess, and prioritize AI opportunities.
Reserve Your Seat