Rainbird: Leveraging AI-powered Automation for Smarter Decision-Making

AI is one of the most prominent advances in technology the world has ever witnessed. It is poised to have a transformative effect on consumers, enterprises, industries and markets around the world. A company which leverages disruptive technologies including AI to transform productivity and customer outcomes through effective decision-making is Rainbird. In conversation with Analytics Insight, Rainbird Co-founder and CEO, Ben Taylor tells us how the company’s AI-based products drive accurate decision-making and are tailored to the evolving need of the customers.  

Kindly brief us about the company, its specialization and the services that your company offers.          

The Rainbird platform uses AI-powered automation technology to make your decision-making smarter and customer experiences smoother. From healthcare to financial services and retail to manufacturing, Rainbird will increase the rate and quality of key decisions made by your most impactful people. This will transform your productivity and customer outcomes. And unlike a human, Rainbird never has a bad day. Essentially, with Rainbird, any organisation can cost-effectively synthesise and scale the decision-making of their best people, and access the rationale behind these decisions via an in-built audit trail, which makes it ideally suited to any regulated industry. We’ve already disrupted industries via projects in finance, banking, automotive, health, retail and law.  

Brief us about the proactive Founder/CEO of the company and his/her contributions towards the company and the industry.

As the Co-founder and CEO of Rainbird Technologies, Ben Taylor is the driving force behind the fusion of human expertise and automated decision-making. He continues to push the boundaries of the platform’s capabilities, enhancing and developing it to serve a variety of data-driven processes. He holds a degree in artificial intelligence from the University of Sussex and is an active member of the All Party Parliamentary Group on Artificial Intelligence (APPG AI). Ben is an authority on artificial intelligence, with an encyclopaedic knowledge of its past and present, and regular high-profile speaking appearances discussing its future.  

Kindly mention some of the major challenges the company has faced till now.

Ensuring we’re client value focused and maintaining our core identity, while continuing to grow with a team of more than 30 and several suppliers and partners has been an exciting challenge. The key to meeting it has been sticking to our guns and selectively hiring ambitious, action-oriented and quality people.  

With what mission and objectives, the company was set up? In short, tell us about your journey since inception of the company?           

Our journey began in 2013. AI technology was beginning to make waves in the business world, but most organisations were still stuck in the old world. This meant laborious office processes and slow customer service – challenges we intended to solve with technology designed for business people. We recognised the need for a transparent, easy-to-use AI-powered platform that could capture and maximise the knowledge of industry experts. So, we created Rainbird!  

What is the edge Rainbird has over other organizations in the industry? 

Something that sets us apart is Rainbird’s ability to explain its decisions, in plain English, via an in-built audit trail. If you want to make decisions that impact customers, you really need to understand how those decisions are reached. Whereas simple rules engines can be audited, they only make simple decisions, and machine learning can make very complex decisions but it’s a black box and can’t be audited. Rainbird is that holy grail that sits in the middle.  

Which industry verticals are you currently focusing on? And what is your go to market strategy for the same?

One of our strengths is that our technology can be applied to almost any sector. Regardless of the industry, our implementation process involves our technical specialists collaborating with a client’s subject matter experts to identify pain points and create a Rainbird model designed to solve these problems. Our current projects include automated legal advice for Taylor Wessing, tax consulting tools for both PwC and Deloitte, automated rehabilitation plans for community healthcare service Fluid Motion, and R&D claims assessment for Grant Thornton. Rainbird also powers a motor liability resolution tool called BAIL for Automated Insurance Solutions, a vehicle repair diagnostics tool for JOS of Jardine Matheson Group, and an automated inter-dealer broker for fintech innovators AiX.