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Case Study

Chetu Built an Automated AI Agent for Improved Productivity and Streamlined Operations

  • Industry
    Legal
  • Core Technologies

    The technology leveraged on this project included:

  • Django REST Framewrk (DRF) 4.2
  • PostgreSQL 14
  • Python 3.12

Project Solution

Chetu implemented a Voice AI Agent that messages with bail agents and automates tasks, like customer onboarding, for increased efficiency and lowered costs.

The Client

Our client is a bail bond company that serves all Colorado jails on a 24/7 notice, ensuring quick response times. Their company offers the lowest rates and flexible payment plans to assist clients in securing the release of their loved ones.

This client approached Chetu to perform multiple integrations for their previous business process. Their priority was to create an AI-enabled virtual assistant to automate communication and to take actions after AI-powered decision-making. Their goal was to streamline operations, improve customer engagement, and drive efficiency, all pillars of hyperautomation.

Our Approach

Infographic 01 ASAP Spenseiri (Hyperautomation)

System Analysis and Integration

First, we identified that the organization was utilizing a CRM platform developed using GoHighLevel, and a third-party application, Simply Bail. Our developers determined that future development efforts would focus on integrating these systems to enable seamless data flow and unified process management.

Backend Architecture and API Development

The backend was developed using PostgreSQL for structured data storage and API endpoints to manage voice data processing, agent dashboard functions, and system configurations. The voice engine and internal dashboards securely authenticated and consumed the APIs.

Natural Language Voice Interface

For the voice interface, we implemented a natural language processing engine capable of parsing caller input, validating responses, and guiding users through a step-by-step information intake process.

Agent Dashboard and System Tools

We created a secure agent dashboard that reviews collected data, manages lead follow-ups, and configures system variables. From there, we integrated eSignature and digital contract tools, as well as a payment gateway for bail payment and fee handling.

How It Works

Chetu’s HyperWeave AI framework was carefully designed to tackle projects requiring hyperautomation. Learn more about our custom proprietary framework at the end of this case study.

The Different Modules We Created Include:

Client Onboarding

Lead management

Communication module

System Integration module

AI Decision-Making and automation module

The Impact

The global virtual assistant market is projected to reach $44.25 billion by 2027, demonstrating the significant investment other businesses have made into the technology.

Businesses that have implemented automated virtual assistants report a 35% increase in efficiency virtual assistants manage routine tasks. Additionally, businesses save up to 78% on operational expenses by hiring virtual assistants instead of full-time staff.

Why Work with Chetu?

While other companies might offer an out-of-the-box solution, our customized approach, guaranteed with our HyperWeave AI framework, ensures a tailored solution custom-built for your business.

Backed by our team of expert developers, you can expect careful consideration and attentiveness to your project needs.

HyperWeave AI helps businesses identify areas for automation, select the appropriate automation tools, and deploy them across business workflows for sustained success—all in just 5 steps.

Infographic 02 ASAP Spenseiri (Hyperautomation)
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