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Chris Sheehan

Chris Sheehan

EVP, High Tech & AI

Chris is responsible for the overall strategic direction and performance of Applause’s business in the high-tech sector and AI practice. Since joining Applause in 2015, Chris has held roles on multiple teams including software delivery, product strategy, customer success, and leading the strategic account segment in North America.

Chris has over 20 years of experience with high-growth software companies as an operating executive, investor and board member.

Prior to Applause, Chris was COO of venture-backed TrueLens, a SaaS AI data platform. Previous experience includes serving as a general partner of an early-stage software VC fund in Boston, and operating roles at enterprise software company BEA Systems and Stax, a global strategy consulting firm.

Chris holds a Bachelor of Commerce degree from the University of Queensland, Australia.

See What Chris Sheehan Has Written

Usability Testing for Agentic Interactions: Ensuring Intuitive AI-Powered Smart Device Assistants

Usability Testing for Agentic Interactions: Ensuring Intuitive AI-Powered Smart Device Assistants

See why early usability testing is a critical investment in building agentic AI systems that respect user autonomy and enhance collaboration.
Agentic Workflows in the Enterprise

Agentic Workflows in the Enterprise

As the level of interest in building agentic workflows in the enterprise increases, there is a corresponding development in the “AI Stack” that enables agentic deployments at scale.
Testing Generative AI: 3 Approaches to Ensure Quality, Accuracy and Safety

Testing Generative AI: 3 Approaches to Ensure Quality, Accuracy and Safety

Here are three key approaches, backed by real-world case studies, that showcase the importance of human insight in ensuring the quality, safety and efficacy of your Gen AI solutions.
Avoiding Bias Traps with Red Teaming

Avoiding Bias Traps with Red Teaming

Explore how red teaming, a technique initially used in cybersecurity, can be effectively utilized to identify and mitigate bias in AI models.
The Risk and Benefits of GenAI

The Risk and Benefits of GenAI

Bringing a GenAI apps to market is a multifaceted challenge that goes beyond traditional software development hurdles.
The Rise of Red Teaming for Testing Generative AI

The Rise of Red Teaming for Testing Generative AI

Long used to identify cybersecurity risks, red teaming is being adapted for testing GenAI. Here's why.
Will 2024 be the Year Retail Deploys Generative AI?

Will 2024 be the Year Retail Deploys Generative AI?

Why does retail make such a promising use case for Gen AI and could Google Cloud and Microsoft’s new solutions change the game?
Retail Winners Prioritize Digital Quality

Retail Winners Prioritize Digital Quality

Gain insight into common retail software bugs and learn key priorities for winning customer loyalty through creating optimal retail digital experiences
Three Areas for Improvement in Retail

Three Areas for Improvement in Retail

It seems the rumors of retail’s demise have been greatly exaggerated.
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