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October 13, 2025

Turn AI from a Tool You Rent into an Asset You Control

Proof of Work — Episode 097
Why Most AI Spending Never Reaches the P&L
Jimmy Bijlani, AI Momentum Partners
00:00
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In this episode of Just Curious, Stu Willson talks with Scott Meyer, co-founder of Chipp.AI, about how small organizations can turn AI from a tool they rent into an asset they control.

Scott shares how a utility automated 70% of a role by using grounded, private AI to manage community grants, answer customer questions, and handle multilingual updates—all while keeping humans in the loop.

Together, Stu and Scott unpack how to close the adoption gap between individuals (63% using AI weekly) and businesses (~10%) through practical frameworks, shared learning, and building AI that your team truly owns.

Chapters:

00:00 – Intro to Scott Meyer & Chipp.AI’s mission
01:06 – AI isn’t the goal: focus on outcomes, not hype
02:21 – The three knowledge layers: world, company, and personal
03:57 – Building compliant, private AI for finance, healthcare, and education
05:21 – The adoption gap: 63% of individuals vs. ~10% of businesses
07:26 – Why sharing beats training: the “lunch & learn” model
09:02 – Paying for the best models—and making exploration systematic
10:33 – Case study: how a utility used AI to manage community grants
13:22 – The stack: Chipp.AI + Forms + Zapier + Sheets + Gmail drafts
15:06 – Results: 1.0 → 0.3 FTE, fewer calls, multilingual support
16:38 – Change management: guiding users to new AI touchpoints
19:17 – Bottom-up ideation: scoring ideas by impact, effort, and cost
20:52 – Picking the right quadrant: simple-for-many vs. hard-for-few
23:04 – Avoiding the shiny-object trap: checkpoints over long agent chains
24:24 – Small wins that scale: “Find it in Drive” grounded search
25:27 – AI as teammate, not takeover: raising the floor, not the ceiling
27:34 – Who benefits most: orgs under 50 people or $50M revenue
29:17 – One-hour framework: use the best model and assign a perspective
31:11 – Wrap-up & final thoughts

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chapters
19 marks
00:00
Intro to Scott Meyer & Chipp.AI’s mission
01:06
AI isn’t the goal: focus on outcomes, not hype
02:21
The three knowledge layers: world, company, and personal
03:57
Building compliant, private AI for finance, healthcare, and education
05:21
The adoption gap: 63% of individuals vs. ~10% of businesses
07:26
Why sharing beats training: the “lunch & learn” model
09:02
Paying for the best models—and making exploration systematic
10:33
Case study: how a utility used AI to manage community grants
13:22
The stack: Chipp.AI + Forms + Zapier + Sheets + Gmail drafts
15:06
Results: 1.0 → 0.3 FTE, fewer calls, multilingual support
16:38
Change management: guiding users to new AI touchpoints
19:17
Bottom-up ideation: scoring ideas by impact, effort, and cost
20:52
Picking the right quadrant: simple-for-many vs. hard-for-few
23:04
Avoiding the shiny-object trap: checkpoints over long agent chains
24:24
Small wins that scale: “Find it in Drive” grounded search
25:27
AI as teammate, not takeover: raising the floor, not the ceiling
27:34
Who benefits most: orgs under 50 people or $50M revenue
29:17
One-hour framework: use the best model and assign a perspective
31:11
Wrap-up & final thoughts
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