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SensAI Advisors is a boutique consultancy dedicated to bringing market-leading AI expertise to our clients. We focus on helping companies organically build their AI capabilities to stay ahead in the competitive landscape. Unlike traditional management consulting firms, we partner with our clients to coach, lead, and enhance their AI teams. Our approach is different because we don’t just deliver projects and leave; we ensure that the knowledge and skills we impart remain with your team, fostering sustainable growth and innovation.

SensAI Advisors

Innovate with Intelligence

Our Services

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Ignite Innovation

Supercharge your AI program with cutting-edge design thinking and agile methodologies.​

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Success Story: ​

For a top healthcare insurer, we revolutionized their workflow by implementing a dynamic agile and design thinking-based program. This transformation cleared an 8-month backlog in just 16 weeks, all while seamlessly managing new tasks! ​

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Unleashing Organic AI Potential

Empowering companies to create standout, innovative AI capabilities.​

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Success Story: ​

For a top discount retailer, we spearheaded the development of a cutting-edge data lake, enabling data scientists to slash inventory shrinkage by an impressive 25% in under a year!​

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Business Alignment and Engagement

Seamlessly integrating data-driven insights into every decision-making process.

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Success Story: ​

Implemented a Generative AI solution that slashed design defects by 20% for a leading global manufacturer!

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Tangible Business Value

Elevating efficiency, driving revenue growth, and enhancing competitiveness.​

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Success Story: ​

Revolutionized a premier retailer’s in-store inventory with cutting-edge Machine Learning technology, achieving an astounding 10x ROI in the first year! ​

Workshop Agenda

1.  

Introduction

(10 minutes)

  • Welcome and Objectives

  • Introduce the workshop's goals: understanding GenAI, its applications, implementation, and governance.

  • Brief Overview of AI

  • Explain what AI is, distinguishing between traditional AI and GenAI.

2. 

What is Generative AI?

(15 minutes)

  • Definition and Examples

  • Define GenAI. Provide examples like ChatGPT, DALL-E, and their applications in various fields.

  • How GenAI Works

  • Basic explanation of machine learning models, particularly neural networks (like GANs, VAEs) in creating new content from existing data.

3. 

The Value of GenAI for Businesses

(20 minutes)

  • Business Applications

  • Discuss real-world applications (Tailored to Client):

  • Marketing: Personalized content creation, dynamic customer journey mapping.

  • Customer Service: AI chatbots for enhanced interaction.

  • Product Development: Design and prototype generation.

  • Supply Chain: Scenario planning and optimization.

  • Case Studies

  • Share success stories from other companies in similar industries (e.g., Adobe with image generation, Mastercard with fraud detection).

4. 

Implementation of GenAI

(20 minutes)

  • Steps to Implement GenAI

  • Assessment of Readiness: Evaluate current infrastructure, data maturity, and workforce skills.

  • Choosing the Right Tools: Overview of tools like TensorFlow, PyTorch, or pre-built models from providers like OpenAI, Google, etc.

  • Pilot Projects: 

  • Start with low-risk use cases like customer service chatbots or internal content creation.

  • Building vs. Buying: Discuss whether to develop in-house or use third-party solutions.

  • Integration into Existing Systems

  • Discuss how GenAI can be plugged into current workflows or ERP systems.

5. 

Governance, Ethics, and Risk Management

(15 minutes)

  • Ethical Considerations

  • Address issues like data privacy, bias, and misinformation (deepfakes).

  • Regulatory Landscape

  • Brief on current regulations like GDPR, AI Act in EU, and implications for AI deployment.

  • Creating a Responsible AI Framework

  • Outline steps for establishing ethical guidelines, data governance, and compliance checks.

6. 

Interactive Session

(10 minutes)

  • Q&A

  • Open the floor for questions from attendees regarding any part of the workshop.

  • Hands-on Activity (if feasible)

  • A quick demo or simulation where participants can see GenAI in action, perhaps using a simple text generation tool.

7. 

Conclusion and Next Steps

(10 minutes)

  • Summary of Key Points

  • Recap the potential of GenAI, the steps for implementation, and the importance of governance.

  • Action Plan

  • Suggest forming a GenAI task force or committee within the company to explore further implementation.

  • Resources for Further Learning

Industries We Help

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Healthcare

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Life Sciences

Financial Services

Retail/CPG

Manufacturing

Team

Dedication. Expertise. Passion.

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