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On this episode of The Association Podcast, Megan Paulini of Associations International, Senior Technical Solutions Specialist and recent AWTC Champion Award winner, shares how she accidentally entered the association world via a temp role and grew from member services into tech solutioning, QA, and deep NetForum work. She explains how an AMC’s shared-services model supports multiple association clients across varied tech stacks and why clear definitions, overcommunication, and documentation prevent costly misunderstandings. Megan reflects on recognition through AWTC, her preference for puzzle-style projects, and practical ways she uses AI daily, including having it review requirements for gaps, interview her with follow-up questions, generate test cases, and build a project forecast spreadsheet to reduce QA bottlenecks. The conversation also touches on realistic personalization, data foundations, and balancing customization with guardrails.
00:43 Guest Intro
01:16 Rapid Fire Questions
03:23 How Megan Found Associations
04:32 From Member Services to Tech
07:26 Inside the AMC Model
10:06 Patterns Across Clients
12:22 Translating Business to Tech
15:56 AWTC Award Spotlight
20:37 Favorite Projects and Puzzles
21:53 Switching to Maybel Setup
22:23 Daily AI Wheel Spin
22:59 AI for Better Requirements
24:27 AI as Interviewer
25:51 Forecasting QA Bottlenecks
27:10 Choosing AI Tools
30:05 Data Personalization Reality
32:52 Progressive Profiling Vision
33:23 Career Path Marketing
35:12 Role Evolution at AMC
38:43 Guardrails Over Customization
40:27 Office Rundown Analogy
41:03 Closing Takeaways
By Jake Toohey, Ben Muscolino, Gretchen SteenstraOn this episode of The Association Podcast, Megan Paulini of Associations International, Senior Technical Solutions Specialist and recent AWTC Champion Award winner, shares how she accidentally entered the association world via a temp role and grew from member services into tech solutioning, QA, and deep NetForum work. She explains how an AMC’s shared-services model supports multiple association clients across varied tech stacks and why clear definitions, overcommunication, and documentation prevent costly misunderstandings. Megan reflects on recognition through AWTC, her preference for puzzle-style projects, and practical ways she uses AI daily, including having it review requirements for gaps, interview her with follow-up questions, generate test cases, and build a project forecast spreadsheet to reduce QA bottlenecks. The conversation also touches on realistic personalization, data foundations, and balancing customization with guardrails.
00:43 Guest Intro
01:16 Rapid Fire Questions
03:23 How Megan Found Associations
04:32 From Member Services to Tech
07:26 Inside the AMC Model
10:06 Patterns Across Clients
12:22 Translating Business to Tech
15:56 AWTC Award Spotlight
20:37 Favorite Projects and Puzzles
21:53 Switching to Maybel Setup
22:23 Daily AI Wheel Spin
22:59 AI for Better Requirements
24:27 AI as Interviewer
25:51 Forecasting QA Bottlenecks
27:10 Choosing AI Tools
30:05 Data Personalization Reality
32:52 Progressive Profiling Vision
33:23 Career Path Marketing
35:12 Role Evolution at AMC
38:43 Guardrails Over Customization
40:27 Office Rundown Analogy
41:03 Closing Takeaways