Chatbots and AI
With PWC finding that 41% of policyholders who had difficulties with their insurers are more likely to switch providers due to a lack of digital capabilities, keeping digital channels open is paramount.
At IPI, we help organisations to implement AI-enabled chatbots that provide a fast, responsive service and enrich the customer experience. From automating FAQs and updating information, through to managing bookings and secure payments, chatbots are making an impact across every industry. The business case is simple: deliver 24/7 on-demand information and support, plus a consistent customer experience, at a low cost.
The impact of coronavirus has demonstrated how effective chatbots are at deflecting much of the surge in call volume by answering common questions as well as more complex requests. Build your chatbot in just 3 days and benefit from 90 days free usage.
The implementation of an IPI Chatbot has been delivered as part of NI Water’s digital transformation strategy to enhance customer experience through the implementation of advanced technology.
IPI worked with NI Water to develop the bank of content that the chatbot would draw from to provide intelligent and conversational answers to frequently asked questions by customers. These answers are actively refined and improved – using AI to analyse responses given to customers and the questions posed, to make the chatbot even more accurate.
Our solution comes with simple to use, yet powerful knowledge management to turn your database of knowledge assets into automated conversations. Easily connect your own product-catalogue with our conversation platform to facilitate sales and after-sales service directly from your chatbot.
We can support more than 30 languages and our APIs connect with all your back-end systems to process transactions or to personalise conversations. A workflow system enables different departments to collaborate on creating useful dialogs.
Proven return on investment in less than 6 months
Drive down costs by deflecting up to 50% of calls
Improve NPS as customers get fast, accurate information
Better quality agents – Free up more capacity for training and mentoring
Easy internal access to the knowledge management system
Understand user requirements
Respond to behaviours and emotions
Reduce uncertainty with notifications
Be helpful and conversational
Deliver on the brand promise
Learn from each conversation
Transformation is easy when you have a partner that can guide the way. Our consultants, architects and engineers have decades of experience in guiding contact centres into the future. We can help you implement solutions that improve the customer experience, improve efficiency and delight your teams
IPI, the digital contact centre specialist, has teamed up with Hackney-based, black-led not-for-profit youth organisation, The Mentoring Lab. IPI is supporting The Mentoring Lab by…
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““As a utility company, we know our customers sometimes need information quickly, so don’t want to be on hold with a call centre or have to search through pages of information for the answers they need. The chatbot solves this, providing quick and easy access to information and improving our customers’ experience with our brand. IPI has made this transition easy for us. Its team of dedicated consultants worked collaboratively with our team, finding creative solutions to problems and making sure that the chatbot both reflected our brand and met the needs of our customers. We are delighted with the results to date and are excited about continuing our digital transformation journey with IPI.””Orla McGivern, Customer and Insights Senior Manager at NI Water
“IPI has made this transition easy for us. Its team of dedicated consultants worked collaboratively with our team, finding creative solutions to problems and making sure that the chatbot both reflected our brand and met the needs of our customers. We are delighted with the results to date and are excited about continuing our digital transformation journey with IPI.”Orla McGivern, Customer and Insights Senior Manager