Zenon Sliwka, Co-founder of Born Digital – Interview Sequence

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Zenon Sliwka is the Co-founder and Chief Gross sales Officer of Born Digital, a number one All‑In‑One AI platform for anybody to design, construct, and deploy AI Digital Assistants that may deal with something — from buyer queries to outbound calling — with out the necessity for builders. Born Digital permits organizations of any dimension and trade to create highly effective assistants that may automate their customer support, gross sales, and advertising efforts.

Zenon has 20+ years of expertise in senior administration and enterprise/digital transformation. Led line groups in worldwide logistics, telecommunication & banking industries (DHL, Deutsche Submit, Deutsche Telekom, GECapital).

What motivated you to ascertain Born Digital, and the way has your intensive expertise in IT and administration influenced the event and success of this platform?

I spent over 20 years within the IT trade the place I noticed inefficiencies in conventional customer support processes. I spotted that these conventional strategies had reached their limits and it grew to become clear to me that we wanted one other layer to have the transformations wanted.

AI had the potential to behave as that new layer. By automating workflows and queries, AI-powered voice and chatbots can save time, assets, and price.

We due to this fact based Born Digital in 2019, leveraging each my expertise and our CEO Tomas’ expertise in course of administration to information the event of those AI options that may combine into present techniques seamlessly. Having insights into trade ache factors, we created an all-in-one platform that addresses present challenges and likewise units the brand new commonplace for buyer expertise automation.

Born Digital’s core product is a conversational AI no-code platform that allows any enterprise to create AI brokers. Are you able to clarify the way it works and the way it differentiates itself from different options out there?

Born Digital is a Conversational and Generative AI-powered no-code platform that enables non-technical individuals to automate buyer interactions, uncover actionable insights, and streamline workflows.

Our key differentiators are:

  • The no-code UI platform gives a straightforward, cost-efficient, and quick manner for non-technical makes use of to create bots and analytics experiences utilizing a drag-and-drop builder.
  • The all-in-one platform gives a complete resolution that easily integrates the flexibility to investigate interactions at scale. This lets you consider bot and human agent efficiency simply, perceive your prospects higher, and establish areas of enchancment.
  • Superior Use of LLMs and GenAI: Our platform leverages superior Massive Language Fashions (LLMs) and Generative AI (GenAI) to enhance the capabilities of bots, permitting for extra pure and correct interactions which really feel human-like.

What are among the misconceptions you may have come throughout concerning integrating AI into customer support?

It is vital to handle expectations concerning what AI can obtain independently. Some individuals can have unrealistic expectations of outcomes from deploying AI however profitable implementation requires setting clear guardrails, making certain a clean transition between AI and human brokers, and testing varied situations.

This takes me to the subject of AI working in unison with people. There’s a standard perception that AI within the context of buyer expertise is right here to exchange people. Firms that come to us searching for AI options inform us that they’re doing so to assist their group members and allow them to give attention to fixing advanced issues as an alternative of repetitive or lesser difficult one. Their aim is to not let go of their customer support group.

Might you spotlight how firms like AXA, Samsung, and Deutsche Telekom have improved their buyer expertise utilizing Born Digital?

The answer we created for Deutsche Telekom addresses all non-technical points akin to contracts and funds, in addition to technical subjects akin to web and telephone malfunctions. A 30% price discount was noticed, saving 56 FTEs, and sustaining the identical gross sales KPIs with fewer operators.

With AXA, we automated their journey insurance coverage, claims dealing with, FNOL, well being help, and injury reporting. With our AI Electronic mail Processing resolution, they automated 20% of calls within the Claims Dealing with Division and 87% of chat conversations, decreasing wait instances and growing NPS by 7 factors.

With Samsung, we deployed a sensible routing voice assistant that may greet callers by identify and perceive their question to prioritize routing. It collects data from the caller when the road is busy, then passes it to human brokers for sooner decision. A post-call survey Voice Bot was additionally deployed to supply on the spot name rankings. This led to a service degree above 90% and saved 10% of operators’ time.

Are you able to share your views and expertise on why human brokers working with AI supply a greater expertise than brokers working alone?

Nicely, many have been saying that Generative AI will section people out of the shopper expertise course of. I don’t assume that’s attainable as many advanced and delicate buyer points want crucial pondering and empathy, which AI nonetheless can not absolutely present but. Prospects worth connection, and it will probably get irritating should you’re caught in a loop of AI solutions. Permitting individuals to simply attain a human agent is essential. So, what’s the profit of getting AI in your buyer exerience? Sooner decision instances, 24/7 availability, and workflow automation. This all assists your brokers in doing a greater job.

Digital People are gaining traction. What is that this know-how and what do you see as the primary advantages for firms to include Digital People into their groups?

Digital people are avatars which have autonomous animation, and might join into conversational AI to essentially drive dynamic and interactive experiences.

We wish to say that Digital People have three competencies: human look, worflow automation, and analytics.

We significantly give attention to the enterprise market, as a result of we noticed that there are a variety of difficult issues in enterprise. That’s all about taking issues which might be advanced and utilizing digital people to simplify it and make it extra human. Issues akin to serving to individuals by funds, passport renewals, choosing the right plan, by to many different areas in e-commerce and different sectors.

What are the present largest challenges of growing Digital People?

From a technical perspective, what we’re primarily specializing in now’s creating sensible lip-syncing and facial expressions and making certain pure full-body actions. Integrating these multimodal inputs in real-time to realize high-quality animation that avoids the “uncanny valley” impact inside present software program constraints are vital.

What key concerns do you suggest for firms pondering of deploying Digital People?

An important one I’d say is evaluating the suitability of their use instances. In different phrases, do you even want a digital human for that state of affairs? For easy, fast duties akin to checking financial institution balances or transferring funds, present voice and chatbots are most definitely typically sufficient. Digital people could not add vital worth in these situations. Nonetheless, for extra difficult interactions and buyer journeys, digital people can actually improve the expertise by constructing belief and confidence, serving to prospects with advanced choices akin to understanding product options and choosing the proper web plan. Technically difficult duties will also be given a comforting and supportive contact with digital people.

The second key consideration is making certain that the underlying conversational AI and NLP know-how is superior sufficient to assist significant, interactive conversations. This lets digital people interact in additional interactive and personalised dialogues.

Born Digital makes use of a know-how known as Dialog Analytics that helps firms uncover insights from conversations (chats, calls, and emails) – what is that this particularly?

Dialog Analytics is the flexibility to routinely generate actionable insights from buyer conversations to enhance operations, agent efficiency, and extra. The aim is to allow leaders to make data-driven choices and perceive what is going on of their enterprise.

For Buyer Expertise, it analyzes parameters akin to what subjects have been mentioned, sentiment, and tone of voice. This offers you insights into buyer journeys and ache factors. For Agent Efficiency, it helps leaders by evaluating agent efficiency and offering suggestions. It identifies patterns and tendencies in sentiments, and it may be accomplished on the agent degree or group degree by aggregating insights throughout a number of calls.

For firms seeking to combine AI, whether or not or not it’s into their customer support, advertising, gross sales, or monetary features – what are the steps and concerns you’ll suggest for achievement?

Integrating AI into your small business requires a strategic method, so I all the time advise to begin by defining your goals and assessing your present infrastructure and technical capabilities. Select AI options that align together with your wants and start with a pilot venture to know potential challenges. You additionally want to make sure your information is high-quality and contain a cross-functional group in growing the AI technique. A vital step is to ascertain guardrails to watch efficiency and supply coaching for workers.

Thanks for the good interview, readers who want to be taught extra ought to go to Born Digital.

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