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A Message From the Founder
I'm Jazmia Henry, Founder and CEO of Iso AI, with over a decade at the cutting edge of AI innovation. I've built transformative AI solutions for Fortune 500 companies alongside the world's brightest minds in tech.
My track record speaks for itself. At Morgan Stanley, I revolutionized financial modeling for ultra-high-net-worth clients. As Head of Machine Learning at Motley Fool, I implemented AI strategies that boosted customer engagement by 60% and drove a 300% increase in revenue and valuation. At Microsoft, I led the development of adaptive AI agents for industry giants like PepsiCo and Abbott Nutrition. I spearheaded the creation of OpenAI Agents that increased productivity by 97% at financial powerhouses including BlackRock and Moody's.
My innovations extend beyond corporate success. I am the founder of open-source AI environments IsoPro and IsoZero, with 3,000+ downloads in just one month; the youngest recipient of Tulane University's Alumni Award; contributed to 'Mitigating Bias in Machine Learning'; and had a paper ranked in the top 5% at the NeurIPS Black in AI workshop.
My educational background is equally impressive. I got my Master's from Columbia University, was a Technical Fellowship at Stanford University HAI, and am a DPhil candidate at Oxford, focusing on Generative AI. As a passionate educator, I've shaped the future of AI by teaching Data Science to over 1,000 students.
Now, I'm offering my unparalleled expertise to you with Iso AI's Consulting Services. Whether you're aiming to optimize operations, boost revenue, or revolutionize your industry with AI, I have the proven skills and vision to make it happen.
Ready to transform your business with AI? Let's create something extraordinary together.
- Jazmia
What We Provide:
Custom Solutions:
Tailored AI strategies and solutions built specifically for your organization’s goals, ensuring real business impact and scalability.
Expert-Led Strategy:
Work directly with Jazmia Henry, leveraging her expertise in AI agent design, MLOps, and large-scale AI system implementations for Fortune 500 companies.
High-Impact Results:
Drive measurable ROI from AI initiatives by working with a leader in AI innovation and implementation.
Our Approach to Client Partnerships
1
Discovery
We start by understanding your business goals and needs.
2
Strategy
We develop a customized strategy to achieve your objectives.
3
Execution
We bring your vision to life with creative and effective solutions.
4
Measurement
We track results and make adjustments to ensure success.
Case Studies
AI Agent for Workflow Orchestration and Data Retrieval
Client: A major enterprise with complex data needs across multiple departments
Challenge: The client required a more efficient way to retrieve and summarize critical information from various databases across the organization. Employees struggled with time-consuming manual data extraction and analysis, impacting productivity and decision-making.
Solution:
An innovative AI Agent was developed to orchestrate a seamless workflow, designed to retrieve data from multiple databases across the organization. The solution involved:
  • Data Retrieval: The AI Agent pulled relevant data from various sources within the company, ensuring that the most up-to-date and accurate information was accessible in real time.
  • Orchestrator Agent: The retrieved data was passed to an orchestrator agent, which then provided users with context-specific summaries. These summaries were tailored to the user's job description, allowing employees to receive the precise information they needed for decision-making without sifting through unnecessary details.
Outcomes:
The AI Agent significantly boosted organizational productivity, delivering measurable results:
  • A 96% increase in productivity, as employees no longer had to manually gather and analyze data.
  • A 27% return on investment (ROI) within just a 3-month engagement period, reflecting the efficiency and cost-effectiveness of the solution.
The impact of the AI Agent was substantial enough to be featured in the company’s press release, showcasing it as a pivotal innovation in workflow automation and data management.
Takeaway:
This AI-powered solution revolutionized how the organization managed its internal data, improving both efficiency and the accuracy of decision-making. The orchestration of real-time data retrieval and tailored summaries empowered employees to focus on high-impact tasks, ultimately driving a significant increase in productivity and ROI. This case highlights the ability to design AI systems that deliver not only operational improvements but also strong financial returns.
Financial Decision-Making with Real-Time Stock Analysis and Client Prioritization using AI
Client: A leading financial services firm
Challenge: Portfolio managers (PMs) and financial advisors (FAs) needed a streamlined solution to quickly identify high-potential stocks and better serve their clients by prioritizing customer needs. Without an efficient tool, they faced time-consuming manual analysis, leading to potential missed opportunities and lower client satisfaction.
Solution:
The introduction of an AI Agent for financial information retrieval transformed the decision-making process for PMs and FAs. This groundbreaking AI system was designed to:
  • Identify Must-Buy Stocks: By analyzing real-time financial data, the AI Agent flagged stocks rated as must-buys based on market trends and portfolio compatibility. PMs could easily assess which portfolios would benefit from these stock additions, optimizing their clients' investments.
  • Prioritize Customer Needs: The AI Agent also processed customer queries, allowing FAs to prioritize clients based on their specific financial needs. This personalized approach enabled more efficient client service and better alignment of financial advice with individual goals.
Outcomes:
The AI Agent resulted in a significant 15% increase in customer satisfaction by providing timely, tailored insights and recommendations to both PMs and FAs. Clients felt more confident in their investment strategies, knowing that their portfolios were continuously monitored and optimized for success. This solution also empowered PMs and FAs to better manage their time and deliver higher-value services to their clients.
The success of the AI Agent was further validated when it was featured in the company’s press release, highlighting it as the first AI system of its kind within the firm and in the broader financial services sector.
Takeaway:
This AI-driven solution underscores the potential of advanced technology in transforming financial services. By automating stock analysis and customer prioritization, the AI Agent empowered portfolio managers and financial advisors to make smarter, faster decisions, ultimately driving better outcomes for their clients. The result was a significant boost in customer satisfaction and a milestone achievement in AI innovation within the financial industry.
Building a Hybrid Recommender System for a Leading Financial Advice Platform
Client: A financial advice platform renowned for its trusted investment insights
Challenge: The platform’s extensive content library presented users with overwhelming choices, leading to frustration, difficulty navigating resources, and high bounce rates. These challenges were particularly noticeable among high-value customers, including those with significant investment portfolios, who were looking for more tailored and efficient ways to engage with the platform’s vast content.
Solution:
The solution was to revolutionize how users engaged with content through a cutting-edge hybrid Recommender System. This system combined the latest machine learning techniques with a deep understanding of user behavior and content relevance. By ingesting word embeddings from the platform’s entire content library and using advanced clustering methods, users were grouped based on their reading habits and engagement patterns.
An Alternating Least Squares (ALS) matrix factorization model was implemented, providing personalized article recommendations that avoided common biases. This approach not only improved the overall user experience but also ensured that content recommendations aligned with users' specific interests and preferences.
Outcomes:
The impact was transformative, as demonstrated by key performance indicators (KPIs):
  • A 33% overall increase in engagement across all user segments.
  • A remarkable 42.5% engagement increase among high-value customers with investment portfolios exceeding $1M.
This Recommender System reduced page bounce rates and made navigating the platform’s vast array of content intuitive and enjoyable. High-value users, in particular, benefited from more tailored recommendations, improving both satisfaction and long-term engagement.
Takeaway:
This initiative stands as a testament to the power of innovative AI solutions when guided by strong leadership and a commitment to user-centric design. Through strategic collaboration and forward-thinking technology, the platform was able to create an experience that not only met but exceeded the expectations of its diverse user base. The results speak for themselves: substantial improvements in user engagement, satisfaction, and long-term retention, particularly among the most valuable customers.
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Mitigating Bias in Machine Learning

This practical guide shows, step by step, how to use machine learning to carry out actionable decisions that do not discriminate based on numerous human factors, including ethnicity and gender. The authors examine the many kinds of bias that occur in… Read More

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Not yet ready to book a call? Email me with any inquiries you may have at isojaz@isoai.co.