AI Task Deconstruction
Struggling to see where AI fits into your actual work? The key to AI success is knowing which tasks to automate or augment.
This 60-minute course teaches you a systematic framework to analyze workflows and identify high-value opportunities for AI integration.
About
Teaches learners to analyze and break down existing workflows
Identifies opportunities for AI integration systematically
Provides framework for evaluating AI fitness for specific tasks
Details
Details
You'll Learn To:
- Analyze and break down existing workflows to identify AI opportunities
- Isolate repetitive, time-consuming, or cognitively burdensome tasks
- Evaluate whether a task is a good fit for AI based on input quality, outputs, and business impact
- Apply a step-by-step framework for AI integration assessment
- Use purpose-built GPT tools to accelerate task deconstruction
- Map out AI-enhanced workflows that deliver measurable value
- Distinguish between tasks suitable for automation versus augmentation
Key Questions Addressed:
- Which of my tasks are actually good candidates for AI?
- How do I systematically evaluate AI opportunities?
- What makes a task AI-ready versus AI-resistant?
- How do I prioritize where to start with AI integration?
- What framework prevents me from wasting time on poor AI fits?
Who It's For:
- Professionals seeking to integrate AI into their workflows
- Teams looking to identify high-impact AI opportunities
- Anyone who knows AI can help but isn't sure where to start
What You'll Do:
- Complete 60 minutes of framework-focused training
- Participate in task identification exercises
- Use purpose-built GPT tools for workflow analysis
- Map your own AI-enhanced workflows
Program
COURSE MODULES:
1
Workflow Analysis
Fundamentals
Breaking down your work
2
Task Characteristics
What makes tasks AI-suitable
3
Evaluation Framework
Input quality, outputs, and impact
4
GPT-Assisted Deconstruction
Using AI to plan AI use
5
Workflow Mapping
Creating your AI integration roadmap
Pricing
AI Task Deconstruction
$200
- $50/seat (1-24 seats)
- Volume discounts available
- First in Applied AI series
Professionals talk about us
Noah Singer
VP of Product, RIPE
Ascend brought an outside perspective with real depth that our team immediately connected with. Complex topics were presented in a way that felt approachable and practical, making it easy for people to engage without feeling overwhelmed.
Shawn Miele
CEO MyAdvice
The Ascend AI team are fantastic. We had started AI internally but had lost momentum. They helped us reignite the effort, taking a complex subject and making it understandable. They gave us hands-on time creating AI uses specific to our needs.
Instructor BIO
meet Kevin Williams
Experience:
12+ years in the AI & Data Strategy field
Current Role:
CEO Ascend ai
About the Instructor:
Kevin Williams is an expert in implementing AI in enterprise environments with over 12 years of hands-on experience. In his work, he helps companies transform business processes, create internal AI strategies, and train teams to work with generative models. Kevin is known for his ability to explain complex technology concepts in a simple and practical way, focusing on real business value and operational efficiency.
Let's Chat!
Ascend AI has been a vital supporter and co-leader of the Utah Responsible AI Community Consortium. Their team offers consistent, thoughtful perspectives, effectively bridging emerging AI trends with operational needs to drive ideas into action
Penny Atkins, PhD - Director, Research and Science at the University of Utah
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