ChatGPT Development Services

There are two main ways of integrating a ChatGPT chatbot in a business. Our developers can use OpenAI’s API to build apps, or integrate ChatGPT into existing apps.

A custom GPT app is the ideal option for businesses that need flexibility. The first step involves defining the chatbot’s functions to suit the company’s objectives. 

Next, developers design the virtual environment and connect the backend to the API. This way, your teams, stakeholders and customers can generate accurate responses based on in-house data.

In this approach, we do not need to build a custom ChatGPT system from scratch. For example, if your company already uses Slack, you can leverage Slack Connect and ChatGPT for Slack app for workplace automations. 

Our developers can use programming languages like Java or Python to further customize these models.

These are the key benefits that many of our clients are already deriving from custom ChatGPT solutions:

There are four key business areas where ChatGPT development services add the most value: 

• Customer operations 
• Software engineering 
• Sales and marketing
• Research and development (R&D). 

Here are some popular use cases you can consider:

1. Customer Support

ChatGPT development services can transform your company’s customer support system. For example, you can integrate a ChatGPT chatbot into Zendesk or Freshdesk to provide a more human-like conversation with customers. 

In addition, the API can automatically analyze customer questions and troubleshoot issues in real-time. This means reduced wait times and faster ticket resolutions. 

2. Product Recommendations (Great for eCommerce platforms)

eCommerce platforms can useChatGPT to offer product recommendations. For example, we can build a ChatGPT chatbot to recommend products based on your customers’ profiles.

The ChatGPT system matches each profile to the e-commerce inventory. It also analyzes the customer’s search terms to find the exact products that interest them. This means customers can use everyday language to engage with an e-commerce platform and make purchasing easier. 

3. Content Management

According to Web Technology Surveys, WordPress is the leading content management system in 2023. It is estimated that 43.1% of businesses use WordPress CMS. Other platforms include Shopify, Wix, Squarespace, Joomla, and Drupal. ChatGPT development can integrate OpenAI’s API into these systems to boost functionality. 

For example, a ChatGPT chatbot can suggest headlines and tags for search engine optimization (SEO). 

4. Human Resource

A ChatGPT chatbot can improve human resources by serving as a virtual assistant. Businesses can delegate tasks to OpenAI’s API, such as setting appointments and generating reports. They can also use it to prioritize and respond to emails or even reply to social media comments. This streamlines workflows and allows employees to focus on other tasks. 

Similarly, ChatGPT development can help with recruitment and onboarding processes. For example, Workable uses a chatbot service called Chatbase. It helps Workable employees to find answers to HR questions, e.g., benefits, leave policies, paid time off, etc. This helps with onboarding new talent, helping them familiarize with company policies. 

5. Research

One of the best use cases for ChatGPT development services is in market research. A ChatGPT chatbot can derive valuable insights from: 

• Customer inquiries and sentiments
• Client feedback
• Online surveys
• Social media engagement metrics
• Sales data
• Website traffic, etc. 

Your organization’s ChatGPT can be trained on this data to facilitate lead generation and conversion. A chatbot can also identify customers’ recurring pain points.

Processes are important, and at Tricension, we go the extra mile to ensure that the processes we use in our ChatGPT development service are not only comprehensive but well thought out and precise.

This is our process at a glance:

1. Project governance

For each ChatGPT development project, we seek to establish a structured framework. This framework is instrumental because it offers the foundation upon which we are able to professionally oversee the entire project lifecycle.

We define clear roles for all parties involved, including the client’s team, project developers and managers. This way, we ensure that everyone understands their roles, and smooths the decision making process.

Another essential aspect of project governance is the establishment of communication channels as well as mechanisms for reporting.

Regular reports and progress updates are important because they help us to ensure that stakeholders are well informed throughout the project.

2. Discovery

In the discovery phase, we dive deep into the ‘world’ of the client’s requirements for the project.

This phase is very crucial because it enables us to gather comprehensive information about who the target audience is, their needs, as well as how a ChatGPT solution will address these needs.

Often, we conduct market research with the aim of identifying gaps that we can capitalize on to create a truly competitive ChatGPT based solution.

The participation of the client is particularly important during this discovery phase. We’ll hold extensive discussions to collectively define items such as:

• Functionalities
• Conversation flow
• Overall user experience

We believe that the collaboration is essential to ensure the final ChatGPT product we develop aligns with the vision of the project.

3. Establish whitelist and blacklist question domains

This is where we establish the boundaries. What topics are accepted, and which are unacceptable.

In particular, we outline these essential domains:

1. Identify Information Sources:
   Determine reliable information sources from where the ChatGPT solution will draw its responses
2. Create RLS Segmentation Architecture:
   Row-Level security. Important for segmenting data based on sensibility levels.
3. Create Roles configurations:
   Who can access specific information or functionalities within the ChaGPT system?
4. Establish Security Architecture:
   These are important to protect sensitive data by preventing unauthorized access
5. Establish One Drive Account:
   Critical for cloud storage, backup, and collaboration

4. Implementation

This is where we bring together the various components to create a functional ChatGPT system that incorporates all the important functionalities.

The following items constitute the implementation phase of our ChatGPT development process:

1. Secure Access to Organizational OneDrive:
   Implement fundamental security measures to protect the ChatGPT resource, including authorized access measures
2. Determine GTP interfaces (Web, Intranet, Secure HR, etc.)
   The different channels through which users can interact with the ChatGPT model
3. Integrate AD Groups to support RLS:
   Important for managing access controls
4. Classify content by segment:
   Examples could include marketing, customer service, human resource, etc
5. Establish content segmentation dimension:
   Defining the approach that will be used to divide content into segments such as topic, sensitivity, or user group.
6. Ingest content by segment:
   Populating the ChatGPT system with content according to the segments defined above
7. Establish database connection strings:
   Creating the connections between the ChatGPT model and the databases where content segments and user information are stored
8. Establish aggregates and view to support question domain:
   Developing the database structures which enable querying and retrieval of information
9. Ingest sitemaps:
   Incorporating the sitemap data that guides the ChatGPT model to enable it find the right data and serve contextually relevant responses
10. Establish retraining processes:
    Defining the structures that guide periodic retraining of the model with updated content, including user feedback.

5. Content Quality Assurance

We are committed to ensuring that every ChatGPT model we develop can deliver accurate and safe responses. This is why this checkpoint is critical as it helps us to perform meticulous evaluation. The evaluation seeks to establish the level of the model’s understanding of the project’s ethical standards across the defined range of topics.

The below items enable us to accomplish this phase.

1. Establish white list question bank:
   The comprehensive set of questions that the ChatGPT system can comfortably respond to, with safe and accurate questions
2. Establish black list questions data bank:
   The set of questions that the system must never engage with
3. Retrain defects in white listed questions:
   The ability of the ChatGPT model to retrain based on identified errors from the responses it gives for white list questions.
4. Retrain defects in black listed questions:
   Using the errors in responses to black list questions to retrain the model
5. Retest black listed question test cases:
   Continuous testing of the model with the black list questions. This ensures the model is constantly rejecting any question that belongs to the black list

You may have noticed that the black list set of questions is a very valuable ingredient. These are sensitive questions whose impact can be far and wide with the potential to affect the reputation of a brand.

6. Interface Implementation

Here, we integrate the ChatGPT tool into the platforms and channels that users will be using to interact with it. From visual to interactive elements, we make sure it’s done right through these steps:

1. Implement Internal GPT Interfaces:
   Developing the interfaces that internal users like employees use to interact with the ChatGPT system. We then integrate these interfaces to existing company systems across different departments.
2. Implement Internal GPT Interfaces:
   Developing the interfaces that external users like customers or website visitors use to engage with the ChatGPT model. Could include creation of web-based chatbots, integrating with customer service portals, etc.

7. Production Deployment

The final stage in our ChatGPT development process entails releasing the solution to the real-world environment, making it available to users.

1. Deploy Interfaces into Production:
   Transferring the complete internal and external interfaces from the testing environment to the production servers. Once deployed, the interfaces are available to intended users.
2. Establish Production Support Methods:
   Robust performance monitoring with coherent methods for addressing issues that arise. This includes setting up feedback channels.

ChatGPT is a powerful tool that can unlock hidden opportunities and give your organization a competitive edge. 

Whether you want a complex ChatGPT-powered software-as-a-service product or a simple app, our team of professional ChatGPT developers will ably create and implement a transformative custom ChatGPT solution. 

You may not know it, but your organization has a lot of valuable data and content that could be sitting idle. This data alone can make the difference between accelerated growth and stagnation. 

Let’s turn it into a tool for growth and more revenue.

ChatGPT is a powerful tool that can unlock hidden opportunities and give your organization a competitive edge. 

Whether you want a complex ChatGPT-powered software-as-a-service product or a simple app, our team of professional ChatGPT developers will ably create and implement a transformative custom ChatGPT solution. 

You may not know it, but your organization has a lot of valuable data and content that could be sitting idle. This data alone can make the difference between accelerated growth and stagnation. 

Let’s turn it into a tool for growth and more revenue.