How To Build A White-label Conversational AI Agent: Step-by-Step Guide [2025]

Mohamedasar Published On September 3rd, 2025 Share it on

Conversational AI Agents can automate almost everything on your platform. They take care of repetitive tasks and reduce workload, freeing up your team to focus on high-value activities.

Now the question is – how to bring Conversational AI into your business?

I’ve made it easy for you! I’ve carefully built this Conversational AI Agent Development Guide after extensively evaluating 7 different options including building from scratch, and using third-party solutions.

📋 What to expect in this guide?

1. The core benefits of adding Conversational AI Agents to your business
2. Behind the scenes of a live Conversational AI Agent
3. The easiest way to build AI Agents that can chat or talk to your customers
4. Bonus: Editor’s recommendation

What Is A Conversational AI Agent?

A Conversational AI Agent is a software that uses Artificial Intelligence to provide natural, context-aware responses by simulating human conversations.

The Agent uses technologies like Natural Language Processing (NLP) and Generative AI to understand user input (text or voice) and serve as virtual assistants, chatbots and co-pilots to deliver personalized customer service, offer product recommendations and automate various tasks across industries.

Why Build Conversational AI With a Pre-built Solution?

If you are running a business, and are at the verge of adding conversational AI to your strategy, you have 2 choices: build it all from scratch or use a pre-built Conversational AI solution.

Of course Building from scratch may sound attractive, but in reality, it demands huge investments in time, talent and money.

The one perk you think you fear missing out – full control is somehow a part of the offerings by a few pre-built solutions.

In fact, some of them are designed in a way to help you build Conversational AI Agents faster, easier and more cost-efficient, while ensuring you can customize any part of the solution. Ready to explore the best conversational AI platforms to get started?

Now let’s quickly look through the benefits you can get from using a pre-built solution.

1. Launch Your AI Agent Faster 🚀

We are all running on tasks with a deadline. When you are on a mission to build an AI Agent, you are no exception. Time for launch becomes one of the biggest competitive edges, as any time, your competitors may overtake you.

Now, while some of them are still stuck with developing their own codes to build AI agents, you have the option to stop reinventing the wheel and getting ahead of them.

Instead of spending a year or more building every component line by line, you can go live in just 5 mins to 48 hrs by choosing the right solution.

2. Customize Features & Workflows Your Way ⚙️

Pre-built solutions these days come with an extensive list of features – with options to customize them without limitations.

On the other hand, you can also personalize the workflow just as your business needs.

While building from scratch deliberately offers these flexibilities, there are pre-built solutions that deliver customization support close to what you can achieve from the former.

3. Built-In + Custom Security Options 🛡️

One another concern when choosing a third-party provider is the limitations in the levels of security and privacy features, they could offer.

But providers these days are getting competitive over delivering security, in order to stand out from others in the market.

In fact a few of the providers support customization in security and privacy, allowing organizations to add encryptions and abide by compliances that their business uniquely demands.

4. Easy Implementation with Low/No-Code 🧩

A common challenge in AI projects is the lack of technical expertise.

AI is just on the rise and not every engineer out there has the technical expertise to handle the new technologies. Almost all are learning, and the rising demand is eventually increasing the cost of the skill a bit more expensive for hiring.

Meanwhile, training in-house teams is going to take a lot of time and investment on the right tools. 

This scenario makes room for pre-built solutions that solve the above-mentioned issues by offering low-code or no-code solutions, that help businesses build, design and launch their own conversational flow, with easy-to-integrate codes, drag-and-drop tools or ready-made templates.

This makes it practical for smaller IT teams and helps businesses roll out AI even without deep technical resources.

5. Cut Costs, Not Quality 💰

When building from scratch – R&D, engineering talent, and infrastructure is going to cost big numbers.

On top of that, training AI models from scratch involves long payback periods before you start seeing ROI.

In contrast, when you invest in a pre-built conversational AI solution, it can simply work on a subscription or licensing model, which spreads costs out predictably and eliminates the need for heavy upfront spending.

You’ll only spend for the implementation, moreover the customer service is included in the packages, without having to pay for it separately.

Conversational AI Agent: Tech Stack Table

Factor	Build from Scratch	Pre-Built Solution
Time to Market	12 – 18 months (or more) to develop, test, and deploy	6 – 8 weeks for standard use cases
Technical Expertise	Requires a large in-house AI team (NLP engineers, data scientists, DevOps)	Low-code / no-code tools let smaller teams implement
Upfront Costs	Very high (R&D, salaries, infrastructure)	Lower subscription-based model with predictable costs
Scalability	Scaling requires rebuilding or heavy infrastructure work	Scales up or down easily with business needs
Advanced Features	Must be built from scratch; long development cycles	Comes with pre-trained NLP, sentiment analysis, omnichannel support
Risk Factor	High risk of delays, budget overruns, or technical failures	Lower risk with proven frameworks and continuous vendor improvements
Flexibility	Maximum control, but slow to customize	Customizable templates and workflows, with faster rollout
Global Support	Multilingual and omnichannel require separate builds	Already supports multiple languages and channels

For most businesses, especially those focusing on customer-facing use cases – pre-built conversational AI offers a faster, safer, and more cost-effective way to realize value. You still get the flexibility to customize, but without the heavy burden of building and maintaining everything from scratch.

🤖 How to Make Your Own Conversational AI Agent?

Step 1: Choose Platforms & Tools

The first step to building a Conversational AI Agent is to know where you’ll be building it. Do you want the agent to run on your mobile apps or on your website? Having clarity on the platform leads you to choosing the technologies accordingly.

📌 Quick Tip
Prioritize platforms that offer omnichannel reach (web, mobile, voice, social) and support multiple languages.

Step 2: Calculate Cost & Timeline

Right when you know where you’ll build your AI Agent, you need to prepare a budget-sheet and timeline map to understand how much you may have to spend on each element of your AI Agent and in how many months you’ll build one.

On the whole, going with a reliable pre-built AI solution completes 90% of your work. This leads us to the next step.

Step 3: Get MirrorFly

MirrorFly is a self-hosted CPaaS solution that provides AI-powered SDKs and APIs to build AI agents with real-time chat, voice, and video calling features.

Whether you have an app already or are yet to build one, MirrorFly’s ready-made solution comes with 15+ Conversational AI agent solutions to build your own AI systems.

All you need to do is – head to the official website and contact the team. Discuss your requirements with the team, get a custom quote and purchase their license key.

📌 Quick Tip
If you prefer to go with a subscription package, MirrorFly does offer SaaS plans beside its SaaP solution. You can check out the pricing plans by clicking on the button below.

Step 4: Integrate MirrorFly 

Once you obtain MirrorFly, follow the official documentation and integrate it into your app or website.

Add users and features, authenticate the SDK with your own server or MirrorFly server.

Step 5: Connect or Build Conversational AI Logic

Once the agent is added to your platform, start building the conversational workflow for your agents, as your business logic.

Train your agents clearly on which type of industry or use case it will work for and how to respond to user queries.

Step 6: Customize the Conversational Experience

Adding agents is the basic work. But it takes a bit of effort to personalize these AI systems to match your brand’s identity and vision.

Personalize your chatflow or voiceflow with custom queries and build a clean roadmap navigating the users to where they want to be exactly.

Choose the tone, style and voice (for voicebots) and set the personality of the bots – friendly, professional, or casual, based on your brand.

Step 7: Configure Security and Compliance

Personalization is great, but setting up strong security for your Conversational AI agent goes beyond excellence.

Study your business and bring in any encryption to the AI system, along with standard regulatory compliances.

📌 Note from Editor
MirrorFly supports custom security and region-specific compliances, allowing you to add any layers of encryptions or privacy systems without any limitations.

Step 8: Deployment & Testing

The final step is to launch, test, and refine your agent. Validate responses, stress-test for peak loads, simulate customer scenarios and start rolling out gradually (internal test → beta users → full production).

Have a list of KPIs such as Resolution rate, escalation frequency and customer satisfaction score, and monitor them consistently to improve, fix bugs and release updates accordingly.

Finally, by following these 8 structured steps, you’ll have a conversational AI agent that’s platform-ready, integrated with MirrorFly for real-time communication, compliant, scalable, and continuously improving with use.

What Do You Get Building Conversational AI With MirrorFly? 🎯

The reasons are quite simple and straight-forward:

1. 100% Customizable (Features/ Workflow)
2. Data Ownership
3. Custom Security
4. Flexible Hosting
5. SIP/VoIP Solution
6. Whitelabel Solution

Above this you get to hire a dedicated team of developers who can take care of building your own Conversational AI agent.

Sounds like a deal? Contact the MirrorFly Team and they’ll get back to you in the next 24 hrs to discuss your requirements.