AI-driven identity management automation
Client Story
We implemented an advanced AI-powered identity management system for an enterprise client. The project aimed to automate account registration and password management processes using OpenAI’s ChatGPT API, while introducing a caching mechanism to reduce costs and boost efficiency.
The Challenge
Enterprises often struggle with the manual workload of onboarding new users and managing password changes. These repetitive, time-consuming tasks are prone to human error and scale poorly. We set out to streamline identity management by building AI agents to handle these tasks automatically, securely, and at scale.
The Solution
We developed a solution with two primary AI agents integrated into the enterprise identity management platform:
1. AI Account Registration Agent
This agent automates the user onboarding process. It uses predefined templates for user information such as roles, permissions, and contact details. The agent leverages the ChatGPT API to generate JavaScript scripts that interact with web forms and APIs to complete account registration.
2. AI Password Management Agent
This agent automates password changes across various enterprise systems. It analyzes the structure of target websites and generates context-aware scripts for password resets, again using the ChatGPT API.
3. Caching Mechanism
To reduce costs and improve performance, Erbis implemented a caching system for AI-generated scripts. Frequently used scripts are stored and reused, significantly reducing the number of calls to the OpenAI API.
4. AWS Cloud Backend
The backend is hosted on AWS, using serverless architecture for script execution and secure storage of credentials.
Now let’s highlight some implementation details.
AI Agent Workflow
For account registration, the agent takes HR data such as name, role, and email, then generates and executes automation scripts tailored to each web form. Successful registrations update the identity database automatically. For password management, users request password changes through a self-service portal. The AI agent analyzes the target website, generates the necessary automation scripts, and executes them securely.
Caching Optimization
The caching mechanism stores script prompts and results, reducing redundant API requests. This optimization led to a significant decrease in OpenAI token usage and overall API expenses.
Security Measures
- Agents use OAuth 2.0 tokens for authorization.
- All cached scripts and credentials are encrypted using AWS KMS.
- Audit trails and real-time monitoring are enabled for security and compliance.
Ready to automate identity management
and take control of your workflows?
Tech stack
- AWS Lambda
- AWS S3
- JavaScript
The Results
- Account setup time reduced from 15 minutes to under a minute per user.
- OpenAI API expenses reduced by 90% due to caching.
- The system scales to handle tens of thousands of transactions monthly with high reliability.
- No security incidents reported after deployment.
Erbis’s AI-driven identity management solution demonstrates how automation can transform enterprise operations. By combining the power of OpenAI’s API, a robust caching mechanism, and secure AWS infrastructure, we delivered a solution that is efficient, cost-effective, and secure. Using key Innovations like AI script caching, secure cloud execution, and automated identity workflows, this project sets a new standard for AI agent deployment in enterprise environments.
Let’s discuss your needs
Manual identity management is no longer scalable. Whether you’re onboarding hundreds of employees, managing access across multiple systems, or looking to reduce operational overhead, we can help you build a secure, automated identity workflow powered by AI. At Erbis, we specialize in developing AI agents that integrate seamlessly with your infrastructure—reducing costs, improving efficiency, and eliminating human error.
