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Jay Singh - Casper Studios | AI That Actually Gets Used: How Casper Studios Cut Hedge Fund Research Time by 80%
Jay Singh, Co-founder & CEO of Casper Studios, breaks down how real organizations—hedge funds, PE-backed companies, and growth-stage startups—are actually deploying AI that gets used. Drawing on deep experience building modular, production-grade systems, he explains why small, workflow-anchored wins consistently outperform AI moonshots and how companies can integrate AI without chaos, panic, or overreach.
You’ll Learn:
- Why modular, workflow-specific automation beats monolithic “AI platform” builds.
- How to assess whether an organization is truly ready for AI adoption—from data quality to executive behavior.
- How to identify the highest-leverage workflows by mapping real user behavior, not theoretical use cases.
- How applied AI cuts research and analysis time by 50–80% when integrated directly into existing systems.
- How voice-based agents can surface hidden workflow pain and accelerate discovery across large teams.
Chapters:
00:00 Intro
00:33 Jay’s background and what Casper Studios does
01:55 Why he left LinkedIn to build an AI implementation studio
03:23 Common AI mistakes across startups and enterprises
05:02 What “the middle ground” of AI adoption looks like
06:49 How company behavior around AI has shifted
08:40 Why clients come to Casper and what problems they bring
10:09 How clients identify workflows worth automating
11:26 Signals a company is (or isn’t) ready for real AI adoption
13:49 Hedge fund case study introduction
15:55 Why modular systems outperform monolithic builds
18:15 Module 2 and 3: transcription, synthesis, and decision support
20:13 How they ensure recommendations stay grounded in logic
22:24 Time savings and impact
23:29 How long it takes to get to production
24:42 Integrating with real enterprise stacks
27:02 Why ambitious projects often stall—and when moonshots make sense
30:18 How singles and doubles build momentum
32:15 The first question leaders should ask their teams
33:41 A high-leverage first AI project
35:41 Who should reach out to Casper Studios
Links:
- Explore more interviews and Jay Singh's expert profile: https://www.justcurious.io/experts/jay-singh
- Connect with Jay Singh: https://www.linkedin.com/in/jaysingh10125/
- Watch on YouTube: https://youtu.be/o7duyoDZUS4
Just Curious is the content and podcast brand of Pluris, helping leading operators and investors cut through a noisy AI market and find the right partners — from strategy and assessments to full-stack AI development. Our network of applied AI experts spans generative and agentic AI, workflow automation, and custom AI-powered software, helping teams turn curiosity into measurable value.
Explore more interviews and connect with experts at https://www.checkpluris.com
Subscribe to our newsletter at https://just-curious-ai.beehiiv.com
View all episodes
By Stuart WillsonJay Singh, Co-founder & CEO of Casper Studios, breaks down how real organizations—hedge funds, PE-backed companies, and growth-stage startups—are actually deploying AI that gets used. Drawing on deep experience building modular, production-grade systems, he explains why small, workflow-anchored wins consistently outperform AI moonshots and how companies can integrate AI without chaos, panic, or overreach.
You’ll Learn:
- Why modular, workflow-specific automation beats monolithic “AI platform” builds.
- How to assess whether an organization is truly ready for AI adoption—from data quality to executive behavior.
- How to identify the highest-leverage workflows by mapping real user behavior, not theoretical use cases.
- How applied AI cuts research and analysis time by 50–80% when integrated directly into existing systems.
- How voice-based agents can surface hidden workflow pain and accelerate discovery across large teams.
Chapters:
00:00 Intro
00:33 Jay’s background and what Casper Studios does
01:55 Why he left LinkedIn to build an AI implementation studio
03:23 Common AI mistakes across startups and enterprises
05:02 What “the middle ground” of AI adoption looks like
06:49 How company behavior around AI has shifted
08:40 Why clients come to Casper and what problems they bring
10:09 How clients identify workflows worth automating
11:26 Signals a company is (or isn’t) ready for real AI adoption
13:49 Hedge fund case study introduction
15:55 Why modular systems outperform monolithic builds
18:15 Module 2 and 3: transcription, synthesis, and decision support
20:13 How they ensure recommendations stay grounded in logic
22:24 Time savings and impact
23:29 How long it takes to get to production
24:42 Integrating with real enterprise stacks
27:02 Why ambitious projects often stall—and when moonshots make sense
30:18 How singles and doubles build momentum
32:15 The first question leaders should ask their teams
33:41 A high-leverage first AI project
35:41 Who should reach out to Casper Studios
Links:
- Explore more interviews and Jay Singh's expert profile: https://www.justcurious.io/experts/jay-singh
- Connect with Jay Singh: https://www.linkedin.com/in/jaysingh10125/
- Watch on YouTube: https://youtu.be/o7duyoDZUS4
Just Curious is the content and podcast brand of Pluris, helping leading operators and investors cut through a noisy AI market and find the right partners — from strategy and assessments to full-stack AI development. Our network of applied AI experts spans generative and agentic AI, workflow automation, and custom AI-powered software, helping teams turn curiosity into measurable value.
Explore more interviews and connect with experts at https://www.checkpluris.com
Subscribe to our newsletter at https://just-curious-ai.beehiiv.com