Meet the Project
Scope :
Poject in context
Research
Problem
Findings and Objectives
Solutions
About:
I’m designing an AI Integration Management Platform for mid-sized B2B service providers. My goal is to simplify AI integration and streamline data selection for training. The platform focuses on data quality and security, cost-effectiveness, and strong evaluation through user-friendly interfaces.
Roles:
In this project, my key responsibilities involved developing comprehensive user flows, establishing a clear visual hierarchy, and designing solutions to simplify the process.
Project Context
1. Specific Niche
To address industry challenges, this case study focuses on adopting Generative AI tools with a seamless and secure integration process, using predefined templates options and guided prompts.
01
“74% of marketing, sales, and service leaders believe GenAI will improve key business metrics, according to a BCG survey. However, nearly half lack confidence in having a solid GenAI strategy.”
02
Many organizations are investing in AI, but 70% of leaders are concerned about their readiness to leverage it fully, according to Forbes.
03
According to McKinsey's 2024 Global Survey on AI, 65% of respondents report regular GenAI use, nearly doubling the previous survey's percentage.
Digging for Gold
2. Research and Insights
I conducted a competitive analysis to understand current solutions and visualized insights from a proto persona. This highlighted challenges like data security and integration difficulties. The research shaped my focus on data quality and user-friendly solutions, ensuring alignment with business goals.
Competitive Analysis
As part of my research, I observed how different models deal with aspects of data privacy, security, and integration of existing systems.
Data Privacy and Security
All models employ robust data encryption and strict access controls, ensuring compliance with data privacy regulations like GDPR and CCPA
Benefit: This analysis helped me prioritize data security features in my solutions, ensuring compliance with regulations and protecting user information
Integration with Existing Systems
GPT-4, Claude, and Gemini provide strong APIs, detailed documentation, and customization options for easy integration.
Benefit: This analysis emphasized the need for strong API support and customization options to ensure seamless integration with various business workflows.
Key Questions:
I followed the integration workflow from data quality evaluation to identifying key metrics. This helped me spot where problems usually occur and to dive deeper for solutions.
How can we improve data encryption for better security without compromising user experience?
What barriers do businesses face when integrating AI, and how can we design interfaces to minimize these challenges?
What tasks do users find most beneficial to automate with generative AI, and how can we optimize our tools for these needs?
How can we collect and use user feedback to improve AI tools and encourage adoption among businesses?
Stakeholders:
Determine who will be affected
Employees
Customers/ businesses
Partners
IT and Support Staff
Executives/Decision Makers
The proto persona helped me empathize with users, understand their micro interactions, and prioritize the most important issues to address
Major Challenges
3. Problem
Mid-sized B2B service providers struggle with protecting data, keeping costs low, and ensuring data quality when using AI tools. They need easy-to-use solutions for smooth integration, data quality, and ongoing defined evaluation.
Aha! Moments
4. Findings and Objectives
Research showed that data security is the top concern for businesses, making encrypted data a preferred cost-effective solution over synthetic data. I focused on Automated Data Cleaning and guiding users in choosing the right metrics to tackle data quality and evaluation challenges.
01
Emphasize on Automated Data cleaning
02
Priority for encrypted data
03
Relevant metrics for evaluation
Objectives and User stories
Objective 1:
Implement reliable data encryption methods for data privacy compliance, with optional synthetic data.
User story 1:
"As a user, I want to ensure the security of sensitive business data by implementing robust data encryption methods, so that I can protect our company's information and comply with data privacy regulations."
Objective 2:
Integrate Automated Data Cleaning solutions to maintain high data quality for training the models.
User story 2:
"As a user, I want to implement robust data management practices through a dedicated hub to maintain high-quality and relevant data, so that the AI tools can perform effectively and deliver accurate results."
Objective 3:
Simplify Evaluation Metrics with a user-friendly tools to guide businesses in choosing relevant metrics for their business goals.
User story 3:
"As a user, I want to provide feedback on the AI tool’s performance, so that I can suggest improvements and ensure it meets my business needs."
Map it Out
I developed detailed sitemaps and content hierarchy to organize content logically and enhance user navigation.
1st Draft
2nd Draft
Creative Fixes
5. Solutions and refining
Created a user-friendly AI Integration interface with real-time monitoring and intuitive dashboards that simplify the integration with existing systems.
01
Robust Data Security
02
Automated Data Cleaning
03
Tailored Evaluation Framework
User Flow
I created a flow where users Users begin with a guided onboarding to set preferences and data sources, followed by seamless data input, AI model selection, and system integration. The platform features real-time analytics, user feedback, and continuous optimization for efficient AI performance.
Data Input and Managment flow
Model Selection and integration flow
Iterations insights
01 Cleaning Criteria
Ask users about their goals, data types, and priorities with guided prompts. Offer Pre-defined Templates.
02 Model Capabilities
Provide Pre-Built and customized models overviews + Guided- Assistance Questionnaire with metrics explanations.
03 Integration settings
Offer Step-by-Step Wizard guide for Selecting the integration type and connection details. Configure settings with tamplets or by Guided Prompts.