🤖 I Built an AI-Powered Support Assistant Using OpenAI and Okta

Hi LinkedIn 👋 — I recently built a smart, AI-driven support bot that combines real-time communication, voice recognition, and secure identity workflows. It was a chance to sharpen my skills and show how AI can actually enhance the support experience, not replace it.

---

🧠 What It Does

Imagine needing IT help — instead of waiting for a human, you chat with a friendly AI assistant. You can type or even speak your issue. The bot understands your intent, detects how frustrated you might be, and helps solve your issue securely — even triggering real backend actions.

This assistant:

• Accepts both voice and text
• Uses AI to analyze tone and categorize requests
• Responds in real-time with helpful next steps
• Can trigger secure account actions (like resets)
• Supports follow-up steps like QR code enrollment

---

🔌 Tech + Integrations

• ✅ OpenAI – GPT-3.5 for understanding and categorizing text, Whisper for voice transcription
• ✅ Okta – For triggering secure actions like resetting authenticators or enrolling a user in MFA

Built using:

• Node.js + Express
• Socket.IO for real-time messaging
• Axios to communicate with Okta APIs
• dotenv for configuration
• OpenAI APIs for chat and audio analysis

---

🔐 How I Handled Auth (Without Overengineering)

To keep the assistant both powerful and secure, I used:

🧠 OpenAI API Key

Used for:

• Sentiment analysis + classification via gpt-3.5-turbo
• Voice transcription via whisper-1

Configured using:

AI_KEY=sk-xxxxxxxxxxxxxxxxxxxxx

🔐 Okta API Token

Used to:

• Reset authenticators
• Enroll users in identity verification workflows

From your Okta Admin Console:

SERVICE_TOKEN=your_okta_api_token

🌐 Okta Client ID & Secret

If integrating with OIDC for user login, you'll get these when creating an OIDC app (Web Application):

• Client ID: public
• Client Secret: private (used only server-side)

---

⚙️ Real-Time Demo Flow

Here’s how a typical support interaction flows:

1. User types or records their issue
2. The bot transcribes voice to text (if needed)
3. It uses AI to detect tone + categorize the problem
4. Offers help (e.g. reset, enroll, escalate)
5. Triggers secure actions (like resetting factors via Okta)
6. Optionally offers a QR code to re-enroll in MFA

All in one smooth, conversational interaction 💬

---

🧪 Why I Built This

Like many people in tech, I’ve been reflecting on where AI fits into the tools we build and use daily. I built this to:

• Experiment with real-time language understanding
• Apply AI to practical workflows, not just chatbots
• Show how backend identity systems like Okta can work with AI
• Demonstrate full-stack AI capability — from input to secure action

---

🚀 What's Next

🔜 I'm thinking of adding:

• Full user authentication
• Natural language follow-ups
• Identity verification options like Persona or Zoom
• AI-based knowledge lookups for self-service FAQs

---

💼 I'm Open to Work

If you’re building with AI, OpenAI, or identity — I’d love to chat.

• 🧠 I understand both backend systems and human-centered design
• 🔐 I’ve worked with security + identity platforms
• ⚙️ I’m comfortable shipping prototypes or scaling products

📬 Let’s connect on LinkedIn or email me: mick.jae.johnson@gmail.com

Thanks for reading — and if you're exploring AI in support or identity, I’d love to learn from your work too.