Virtual AI Phone Assistant
Project overview
Built an AI-powered virtual phone assistant with automated appointment scheduling, AI order taking, and intelligent call forwarding using OpenAI and Twilio.
Client information
Aozic.ai is an artificial intelligence startup delivering next-generation conversational voice agents for local and enterprise businesses. By combining natural language processing with telephony infrastructure, Aozic enables companies to automate customer calls, order taking, and appointment bookings 24/7.
Business challenge
To manage complex cases, our customer uses special technology solutions. Portfolio management is handled through modern, data-driven tools, and when cases go to litigation, these tools help Aozic.ai make the whole process faster, more transparent, and harder for assessors to ignore.
Aozic needed a platform that could handle inbound business calls autonomously — scheduling appointments, taking orders, and forwarding calls without human agents.
The second challenge involves an increase in operational risk. With no clear visibility into problem areas, every investment decision was made amid significant uncertainty.
The final challenge was to define a clear roadmap for modernization across all layers (infrastructure, frontend, backend, and database) to guide future improvements.
Technical challenge
One of the main technical challenges was assessing a complex multi-layer system without causing disruption, while also prioritizing findings across architectural, operational, and organizational vulnerabilities. Additionally, it was essential to present findings in an actionable format, rather than simply cataloging historical changes.
Solution delivered
Aridian Technologies conducted a comprehensive engineering & development program to address all challenge areas. We developed an agentic AI system using OpenAI and LangChain for natural conversation, Twilio for telephony, and a React Native app for business management. Each finding was evaluated for severity and complexity, accompanied by actionable recommendations, and mapped into a phased modernization roadmap. This approach provided Aozic.ai with a solid foundation for a structured, evidence-based remediation program.
Key deliverables
Team processes and project management review
- >Definition of team structure, roles, and responsibilities
- >Description of current processes and project management practices
- >Recommendations for improvement
Back end and database architecture review
- >24/7 autonomous call handling with zero human agents
- >Automated appointment scheduling integrated with calendars
- >AI order taking with 95%+ accuracy
- >Intelligent call forwarding reduced missed calls to near zero
Front end review
- >Project structure assessment and recommendations for refactoring
- >UI/UX improvement recommendations
- >High-level security review and recommendations for improvement
Infrastructure review
- >Infrastructure patterns review and recommendations for improvement
- >Cloud resource utilization, security compliance, and cost optimization audit
- >Disaster recovery, backup protocols, and high-availability configuration review
Value delivered
Actionable modernization roadmap
Developed a clear, phased plan for system improvements, enabling the client to address technical debt and scale efficiently.
Risk reduction
Provided visibility into critical vulnerabilities, empowering the client to proactively manage operational and security risks.
Improved decision-making
Equipped stakeholders with evidence-based insights to support informed investment and resource allocation decisions.
Enhanced operational resilience
Ensured recommendations were sequenced to avoid production disruptions, resulting in a more robust and dependable platform.
Our tech stack
Virtual AI Phone Assistant
Project overview
Built an AI-powered virtual phone assistant with automated appointment scheduling, AI order taking, and intelligent call forwarding using OpenAI and Twilio.
Client information
Aozic.ai is an artificial intelligence startup delivering next-generation conversational voice agents for local and enterprise businesses. By combining natural language processing with telephony infrastructure, Aozic enables companies to automate customer calls, order taking, and appointment bookings 24/7.
Business challenge
Aozic needed a platform that could handle inbound business calls autonomously — scheduling appointments, taking orders, and forwarding calls without human agents.
Technical challenge
One of the main technical challenges was assessing a complex multi-layer system without causing disruption, while also prioritizing findings across architectural, operational, and organizational vulnerabilities.
Solution delivered
Aridian Technologies conducted a comprehensive engineering & development program to address all challenge areas. We developed an agentic AI system using OpenAI and LangChain for natural conversation, Twilio for telephony, and a React Native app for business management. Each finding was evaluated for severity and complexity, accompanied by actionable recommendations, and mapped into a phased modernization roadmap.
Key deliverables
Team processes and project management review
- >Definition of team structure, roles, and responsibilities
- >Description of current processes and project management practices
- >Recommendations for improvement
Back end and database architecture review
- >24/7 autonomous call handling with zero human agents
- >Automated appointment scheduling integrated with calendars
- >AI order taking with 95%+ accuracy
- >Intelligent call forwarding reduced missed calls to near zero
Front end review
- >Project structure assessment and recommendations for refactoring
- >UI/UX improvement recommendations
- >High-level security review and recommendations for improvement
Infrastructure review
- >Infrastructure patterns review and recommendations for improvement
- >Cloud resource utilization, security compliance, and cost optimization audit
- >Disaster recovery, backup protocols, and high-availability configuration review
Value delivered
Actionable modernization roadmap
Developed a clear, phased plan for system improvements, enabling the client to address technical debt and scale efficiently.
Risk reduction
Provided visibility into critical vulnerabilities, empowering the client to proactively manage operational and security risks.
Improved decision-making
Equipped stakeholders with evidence-based insights to support informed investment and resource allocation decisions.
Enhanced operational resilience
Ensured recommendations were sequenced to avoid production disruptions, resulting in a more robust and dependable platform.
Our tech stack
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