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Dynamic AI56

AI Process Automation for Enterprise Business Communication

@The Customer Service Summit NY

5th Oct 18

Roman Levchenko

CEO

President

Florian Erlach

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Mission & Vision

We have been working on AI products since 2015 to help people to focus on the important things in life. So we decided to help enterprises managing successfully their transition to the “Empathy Economy” via our AI Process Automation and beyond.

We believe that in the years to come 80% of repetitive actions in enterprises will be handled by machines and that we are one of the leading companies that are shaping this near future.

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Why we do what we do

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“According to Forbes 85% of business communication is repetitive, time consuming, costly but imperative for enterprise success.

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Our inboxes

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Billions of e-mails sent each day

Daily e-mail traffic business & consumer

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Messaging is growing faster

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Number of mobile messaging users 2016 to 2021 (in billions)

WhatsApp Traffic Every Day:

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  • 450M DAUs
  • 2B minutes of voice and video calls/day
  • 65B text messages/day
  • http://qr.ae/TUGqHD

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Fortune 500 profitability by industry sector

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Profits as a % of Revenue for Sectors

Profits $(M) by Rank

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Demo Video ⇒ Use Case HR from AI Summit SF Sep18

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Case # 2

  • Incoming message classification
  • CRM query
  • Automatic dialogue communication
  • CRM record creation / update
  • Drafting of messages
  • Redirection of requests

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Our Technology

We have developed a patented novel NLU architecture built upon an in-depth analysis of text structure using recent

breakthrough self-organized

in computer linguistics, and a set of ML approaches (supervised/unsupervised,

reinforcement, ...). To get best of both NLP and ML we implemented automatic source code generation, based on rethought genetic algorithm.

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Evolution of Automation

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Why we are different

State of the Art for automation companies was the static anthology approach which needs human interaction to grow with companies over time for helping them to automate business processes.

We go one step further ⇒ We dynamically automate up to 80% of business processes in real-time. Our patented genetic coding system enables continuous learning with constant improvement in quality and accuracy of automation.

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Channels & Types of Actions

Channels (Chat, Voice, E-Mail):

Actions:

  • Routing & labeling of messages
  • Drafts & auto responses
  • Chat with dynamic ontology
  • Working with CRMs / DBs (reading & writing)

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Demo Video ⇒ Use Case Customer Care

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Demo Video ⇒ Use Case Financial Services

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Q&A

The 3 Laws of Robotics

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  1. A robot may not injure a human being or, through inaction, allow a human being to come to harm.

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  • A robot must obey orders given it by human beings except where such orders would conflict with the First Law.

Get in touch with us ⇒ go@dynamic-ai.com

or www.dynamic-ai.com

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3. A robot must protect its own existence as long as such protection does not conflictwith the First or Second Law.