AI Knowledge & Training Analysis

Executive Summary

Based on 306 responses (19% of workforce)

Survey Coverage: 19% of Ansira's workforce

Total Responses: 306

Key Findings

60%

ChatGPT Usage

55%

Prefer Hands-on Workshops

71%

Course Completion Rate

Course Enrollment Status

Total Enrolled: 336 employees

Completed: 240 employees (71%)

In Progress: 96 employees

Course Completion Rate

Enrollment Rate: 21% of employees

Completion Among Enrolled: 71.6%

Knowledge Distribution

30%

Beginner (92)

40%

Intermediate (122)

25%

Advanced (76)

5%

Expert (16)

Domain-Specific Knowledge

60%

Large Language Models

25% at advanced/expert level

40%

Natural Language Processing

15% at advanced/expert

35%

Computer Vision

10% at advanced/expert

Current Tool Usage

60%

ChatGPT

25%

Microsoft Copilot

20%

Adobe AI Tools

15%

Gemini

Employee Voice

Productivity Gains

"Using ChatGPT, what would have taken me hours of research and writing got done in under an hour."
"Co-pilot for helping to write Excel and DAX formulas... huge time-saver."
"If AI could summarize my email workload, that'd save at least 3 hours per week."

Training Needs by Level

Beginner Level

"I want more hands-on practice and understand how it applies to my job."
"We learned about AI tools, but I need real examples that fit into my daily tasks."

Advanced User Insights

"You must write a long, thorough prompt to see value out of AI to draft content."
"We miss having some sharing of knowledge between coworkers. Maybe we need to have internal best-practices sessions."

Training Preferences

55%

Hands-on Workshops

50%

Self-Paced Courses

50%

Tool-Specific Training

45%

Basic AI Training

Implementation Challenges

"I ended up redoing [the output] manually when the data wasn't lining up correctly."
"AI can produce and promulgate errors and deep fakes at an alarming rate. It should be thoughtfully and selectively used."
"At this point in the technology's development I wouldn't trust AI to 'understand' the complexities and nuances omnipresent in my work."

Recommendations

Establish Clear Governance

  • Define acceptable use policies
  • Create data handling guidelines
  • Establish validation frameworks

Invest in Training

  • Deploy tiered training programs
  • Support mentorship initiatives
  • Create role-specific resources

Expected Outcomes

Productivity Gains

Estimated 2-5 hours saved per person/week

Quality Improvements

Faster delivery of products/services

Reduced errors through validation

Cultural Impact

Increased confidence in AI usage

Enhanced cross-team collaboration

Thank You

Questions & Discussion

Survey Analysis & Recommendations