How Brilu tripled their AI agents’ response accuracy by 55% using Make Bridge

• Industry: AI Automation for E-commerce

• Use case: AI, customer support

• Country: Romania

• Company size: 2-10 employees

• Apps used: Shopify, WooCommerce

Brilu is an AI agent platform tailored to industries like e-commerce, marketing, and B2B. It guides users through setup, connects to external data, and lets you embed the agent on your site for use cases like support, sales, or education. Initially, Brilu’s AI agents faced several challenges, such as time-consuming manual uploads of the agents’ product knowledge data and low response accuracy to customer queries. To deliver personalized service at scale, Brilu employed #makeitfuture, an automation service provider and Make integration partner, to help address their agents’ limitations. #makeitfuture leveraged Make Bridge, a tool that lets users rapidly embed thousands of app integrations and custom automations without the need to build or maintain them. It enhanced data management and improved the reliability of Brilu’s agents.

Tiberiu Socaci, Co-founder and CEO of #makeitfuture, explains how automating Brilu’s workflows lets them focus on revenue-driving interactions while providing personalized services.

Brilu needed a fast, scalable way to test and refine the agents’ logic. Make Bridge gave us the power to move at the speed of innovation.

Tiberiu Socaci

The challenge

Although Brilu’s AI agents had access to a robust knowledge base, they struggled with accuracy, achieving only 34% correct responses to customers’ queries.

Despite connecting OpenAI to business data, every improvement had to be manually coded, making innovation painfully slow. Brilu needed a more dynamic and scalable solution to:

• Filter and select only the most relevant data for AI responses

• Rank multiple AI-generated answers and serve the best one

• Rapidly iterate and improve without weeks of developer time

The solution

To solve Brilu’s issue, #makeitfuture created custom automation workflows in Make, powered by Make Bridge. Tiberiu Socaci explains their workflows through a practical example:

Imagine a coffee subscription website with a Brilu AI agent handling chats. When a visitor shows interest in purchasing but doesn’t buy, the agent analyzes and logs the chat. Make syncs the lead to the CRM, checks if the contact exists, updates records, or even creates a deal. The automation can also trigger follow-ups like WhatsApp messages or personalized offers.

So what does Make Bridge do in this situation?? It connects Brilu with CRM platforms seamlessly. For example, using Make Bridge, #makeitfuture created ready-made Make workflow templates for Shopify and WooCommerce. When a Brilu user links their Shopify account, Make Bridge automatically imports all product data into Brilu’s AI agent, allowing it to reference real-time product details like prices, stock, and links. This ensures the agent always provides accurate information.

Therefore, with Make Bridge at the core, Brilu can now:

• Effortlessly feed business data into Make scenarios

• Continuously optimize the AI agents based on real-world customer input

• Automate data processing and dynamic prompt generation for their AI agents

• Quickly test and deploy multiple AI-ranking strategies

We tested eleven different AI response-ranking strategies in just two to three weeks. Doing that manually would have taken us six months.

Tiberiu Socaci

The results 

By leveraging Make Bridge, Brilu turned its AI agents into a top-notch, self-improving tool. They achieved:

• 55% increase in AI response accuracy

• The case resolution rate jumped from 34% to 92%

• 11 strategies tested in just 3 weeks (vs. 6 months manually)

When we showed Brilu’s leadership the performance data across hundreds of customer interactions, they were speechless. For the first time, their AI agents truly connected business logic with real customer needs.

Tiberiu Socaci

Why Make Bridge was such a game-changer

Thanks to Make Bridge, Brilu can now securely and efficiently stream real-time business data into AI workflows, without overloading their developers or slowing down product innovation. And with implementation support from #makeitfuture, the whole system was operational in a fraction of the time.

With #makeitfuture’s assistance, Brilu is planning to continue refining its AI agents while expanding automation across other customer-facing operations.

In 2025, our mission is to show what’s possible when you combine Make with AI. Make Bridge has changed the game—and we’re just getting started.

Tiberiu Socaci

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