AI Toolkit for Project Managers: Practical Tools and Techniques for 10x Productivity
This hands-on workshop teaches
- How to leverage AI tools to transform routine PM deliverables and workflows.
- Use NotebookLM for audio briefings, create slide decks from transcripts
- Master prompt engineering techniques that generate professional outputs
- Practical automation workflows you can implement the next day, not theoretical concepts about AI's potential
- Real demonstrations, live tool usage, and a comprehensive 20-prompt library
Led by an AI systems architect who builds production AI applications, Daryl Taylor, MS, CTFL, SSM, POPM, CSSGB
Daryl Taylor is a Lead Business Systems Consultant and Product Analyst at Wells Fargo with 35 years of banking industry experience. He holds a Master of Science in Data Science & Engineering and a Bachelor of Science in Business Education (Information Technology), along with SAFe certifications as both Scrum Master and Product Owner.
As founder of DeepTier Labs, an AI-accelerated web development agency, Daryl builds production AI applications for startups and small businesses, including ProjectMentor Pro—a scenario-based PM training platform powered by AI-generated simulations and adaptive learning systems. His expertise spans AI workflow automation, content transformation pipelines, and practical implementation of large language models for business applications.
Daryl specializes in translating complex AI capabilities into accessible, immediately actionable techniques for non-technical professionals. His approach focuses on pragmatic tool usage and prompt engineering that delivers measurable time savings—typically reducing documentation and reporting work by 60-70%. Through his work at DeepTier Labs and supporting his wife's PM training business, he has processed hundreds of hours of training content through AI transformation workflows, converting live cohort sessions into books, course curricula, video scripts, and interactive learning scenarios.
Daryl's teaching style emphasizes hands-on experimentation, real system demonstrations, and building personal prompt libraries—ensuring participants leave with working solutions, not just inspiration.
