Why Robot? – Why Robotics and AI are Disrupting Business Process Management

2016 was the year AI and robotics went mainstream. We saw the emergence of chatbots and bot lawyers. Voice recognition went from something fun and frivolous on our mobile devices to delivering useful services via devices such as Amazon Echo and Google home. AI and robotics are now set to disrupt multiple industries and to change the very way we interact with the internet.

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Why Robot? AI, Bots & BPM

When they first emerged Business Process Management Suites (BPMs) and workflow technologies were disruptive technologies, transforming the delivery and efficiency of business processes. As we come to the end of 2016 the BPM industry itself is becoming disrupted through the emergence of artificial intelligence (AI) and robotics technologies. This year for example mainstream BPM vendors began to acquire smaller Robotic Process Automation (RPA) organizations highlighting a growing awareness or maybe panic within the BPM industry that robotics and AI is set to fundamentally transform how we design, execute and interact with business processes.

At the moment RPA and BPM applications are complementary technologies. RPA is used to deliver the rapid automation of simple, repetitive desktop based business process activities and address legacy application integration issues while BPM and Case Management are used to deliver the end to end optimization of key business processes.

Today RPA deployment is often a tactical decision while BPM and Case Management projects are more strategic decisions. Yet this won’t always be the case. RPA and Artificial Intelligence technology has exposed the flaws with today’s BPM technologies and rather than nibble at the edges or the carcass of the process automation market RPA is set to consume a bigger portion. RPA technologies are successful and are disrupting the BPM market because they address three key issues with today’s BPM suites:

Process Modelling

The stated benefits of process modelling and process standards are dubious. Process modelling standards such as BPMN(2) and CMMN often appear to deliver benefits for the BPM business analyst rather than for the actual BPM customer. Process standards frequently act as a barrier to BPM adoption adding increased training costs and complexity for prospective customers. The costs associated with BPMN and CMMN outweigh the benefits.

RPAs eliminate process modelling and offer an alternative way of designing processes using a watch, learn, do approach that is more intuitive and can be quickly adopted and understood by RPA users. In the near future processes could be optimized by linking together multiple RPA bots with the process participant or employee deciding which bot to invoke at a particular stage in the process.

Integration

The professional services costs associated with integrating the BPMs to third party applications often consumes a huge part of the budget of a BPM or process optimization project. Robotic solutions however can be implemented with limited assistance from IT. Robotic software can work with most underlying applications with the interaction occurring through the user interface. While maybe not as graceful as an API based integration the benefits in terms of cost and speed of the watch, learn, do approach in many cases outweigh the negatives.

Speed of Deployment and ROI

Many BPM and process optimization projects can take several months or even years to complete with tangible ROI delivered much later. Lower training and adoption costs as well as simpler third party integration mean that even significant 100 step RPA processes can be analyzed and automated within two weeks, delivering rapid ROI. Businesses using RPA approaches to process automation can fail fast, learn fast and innovate fast.

Robots are addressing the weaknesses of today’s BPM solutions. AI and robotics will have an impact across industry. 2016 was the year the BPM market got disrupted.

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The Chatbot Lawyer: Is this the Future of BPM?

The business process management suite (BPMs) has always had a difficult relationship with the user interface (UI). The broad spectrum of capabilities within the BPMs (business rules, business activity monitoring, process design and orchestration, data integration and content management) meant that when it came to UI design (mobile and desktop) the BPMs vendors were always playing catch-up with best practice web forms and business intelligence applications.

The emergence of chatbots and some compelling use cases such as DoNotPay, the world’s first robot lawyer, point towards a different future for the BPMs UI. DoNotPay is a chatbot lawyer that can provide legal assistance and dispute claims with parking tickets in New York and the UK, delayed flights or trains in the EU and claiming payment protection in insurance (PPI) in the UK. More recently the robot lawyer was updated with the ability to draft legal letters to local councils for urgent housing assistance.

A chatbot is a type of conversational agent or virtual assistant. A computer program designed to simulate an intelligent conversation with one or more human users via auditory or textual methods. Chatbots are integrated within the apps that customers actually want to use, within messaging apps such as WeChat and Messenger which act as the operating systems for the chatbots.

DoNotPay and other chatbots are underpinned by a procesdonotpays automation engine designed to execute tasks based on information provided by users textually or increasingly verbally using voice recognition. While today the DoNotPay services may be relatively simple workflow type processes it is not difficult to imagine that a chatbot in the near future will have the ability to handle more complex or nuanced legal or customer service issues that are managed using a BPMs or similar application.

The emergence of chatbots means we need to reconsider what we think of as the BPMs UI, especially for customer centric processes. Increasingly messaging services and eventually the internet of Things (IoT) will be the UI for process participation. Mobile BPM now means integration of process within apps that customers actually want to use (e.g. messaging services) rather than forcing users to download a business app.

The UI for process participation is changing with messaging applications and in the long term voice recognition emerging as the dominant process interaction methods.

The Chatbot Lawyer: Is this the Future of Customer Service?

Chatbots are poised to disrupt how organizations deliver customer self-service and already some exciting use cases have begun to emerge. DoNotPay announces itself as the world’s first robot lawyer. At the moment this chatbot lawyer can provide legal assistance and dispute claims with parking tickets in New York and the UK, delayed flights or trains in the EU and claiming payment protection in insurance (PPI) in the UK. More recently the robot lawyer was updated with the ability to draft legal letters to local councils for urgent housing assistance. The chat bot has negated 160,000 parking fines since its launch in 2015. It doesn’t take a great leap of the imagination to see similar chatbots for requesting customer service, ordering pizza, booking a car service or a flight.

In my previous posts I discussed the emergence of chatbots as a customer service channel. Chatbots provide an opportunity for organizations to engage with customers in a way that overcomes many of the limitations and costs associated with developing a business app.

The chatbot lawyer I think illustrates a few key things:robot-lawyer

  • A move away from relying on a business mobile app or a web page when we want to engage with an organization or a service
  • Chatbots won’t just deliver information, they’ll deliver services
  • The emerging role of messaging services as a vendor agnostic customer engagement channel
  • The use of process automation to underpin chatbots and deliver services Chatbot BPM

If, as many believe, self-service is the future of customer service then chatbots represent the next step in self-service evolution.

Will Chatbots Signal the End of the Intelligent Virtual Assistant?

Is the Intelligent Virtual Assistant (IVA) market over before it has even begun? Does the emergence of chatbots mean that the IVA is destined to go the way of Vista, Betamax, the LaserDisc and Nest (only kidding) as another brave tech failure?

IVAs attempt to humanize web self-service by delivering knowledge and information to customers via a human like interface. IVAs can be embedded within a web page or mobile app. The attraction for businesses is obvious. Unlike a customer service representative IVAs can serve thousands of customers at once, they are available 24/7, across all channels and the experience is consistent. Many organizations, particularly in the retail sector are today using IVAs as an opportunity for differentiation and a visual extension of their basic web self-service technologies.

The problem for the IVA market is that chatbots have the potential to offer the same feature set with fewer of the negative overheads. Similar to IVAs chatbots

IVA

Will Chatbots replace IVAs?

enable users to interact via text or using speech recognition. Speech recognition has the potential to transform the self-service user experience, making it a more natural experience and most importantly hands free. Speech recognition can deliver service to users anywhere and in any situation or context. IVA vendors have recently augmented their solutions with speech recognition capabilities to offer voice driven information search and retrieval such as video on demand. Already retailers have begun to explore the potential of voice driven self-service with for example Domino’s Pizza introducing Dom their virtual voice ordering assistant.

The problem for IVAs is that they expect the web page and mobile app to remain the dominant customer engagement interfaces. As I have discussed in previous posts users are not downloading business apps.  In addition artificial intelligence and speech recognition threaten the future dominance of text based web search and the text based company web page.

Chatbots will be able to provide all of the features of an IVA without having to download an app or go to a web page and invoke the IVA client. Most importantly they’ll be built within apps that customers (e.g. Kik, WeChat, Messenger) are actually using providing convenience and simplicity that is the cornerstone of successful customer service.

Chatbots: A New Customer Service Channel

In bricks and mortar retail we have the concept of footfall, which is the number of people entering a shop or shopping area over a given time frame. Businesses pay higher rents for higher footfall locations. In order for organizations to engage with customers they have to locate themselves where customers are likely to hang out. This was the main reason why businesses across all industries rushed to build business apps. If customers are using apps we must build an app. As I discussed in my previous post, for a variety of reasons mobile business apps have failed big time. Customers aren’t downloading business apps. If mobile apps are part of your customer engagement mix they aren’t getting any footfall.

In addition customer service via mobile apps is for the most part pitiful. Most of today’s business apps are deigned to sell not serve. Many business apps throw the user out of the native app into a browser if you want to reach customer service. As for self-service, case management and notifications via a mobile app, forget about it. No wonder few people download business apps.

The emergence of chatbots however provides an opportunity for organizations to engage with customers that overcome many of the limitations of the business app. A chatbot is a type of conversational agent, a computer program designed to simulate an intelligent conversation with one or more human users via auditory or textual methods. Chatbots are integrated within the apps that customers actually want to use. They are integrated within messaging apps such as WeChat, Kik and Messenger which act as the operating systems for the chatbots. Chatbots thus solve the business app problem, enabling customers to engage with a business without downloading an app or going to a website.

Perhaps most importantly, chatbots also reflect the robot 5emergence of artificial intelligence or speech recognition as a customer service user interface.  Artificial intelligence is slowly creeping into our everyday lives. Today, four of the largest global IT organizations – Apple (Siri), Google (Google Now), Amazon (Alexa) and Microsoft (Cortana) — offer speech recognition software. Customers will be able to interact with the chatbot using either text or voice recognition software. Long term, voice recognition software will become the dominant UI for customer engagement and well as for interaction with the Internet of Things (IoT).

Chatbots represent a new customer engagement channel that will soon co-exist with today’s other multichannel options of voice, chat, email, social and self-service. Chatbots will initially act as a self-service interface with simple escalation options. Eventually chatbots could replace 1-800 numbers and Facebook (for Messenger) is currently providing developers with API tools to build chatbots and Live Chat web plug-ins for business clients.

In April 2016 Facebook announced, at its annual F8 Developer conference, that its Messenger app was to become a platform that allows businesses to communicate with users via chatbots.  Customer service is firmly in Facebook’s sights with Facebook CEO Mark Zuckerberg stating “We think you should be able to text message a business like you would send to a friend and get a quick response,” The chatbot strategy has also been endorsed by Microsoft CEO Satya Nadella who stated, “bots are the new apps.”

Mobile customer service is terrible. Customers aren’t downloading business apps. Chatbots provide a new opportunity to address both of these issues.

Does CRM have a major role in the Internet of Things? No

For several years Customer Relationship Management (CRM) applications have attempted to sharp elbow their way into the heart of the enterprise. The CRM application has capitalised on the fact that customer experience has emerged as a significant business differentiator requiring organizations to deliver consistency and continuity in how they manage customer data from opportunity, through on-boarding to customer support. It’s not surprising then that CRM vendors see the Internet of Things (IoT) as another technology to absorb into its ecosystem.

So will CRM continue its enterprise land grab and does it have a major role to play in the IoT? For a variety of reasons I will explain below the answer has to be no.

The Future of the IoT is Services not Devices
CRM vendors have a device centric view of the IoT. Their argument goes that the CRM application already manages our “things” such as loyalty cards, our mobile phones and vehicles and the IoT will simply be a continuation of this. This vision of the future has been driven by the growth of consumer IoT devices such as wearables and smart home automation technologies. It is a mistake however to view the IoT in terms of devices. The real power in IoT is in the data created by the sensors themselves. Organizations that can utilize this data and deliver services based on this data will dominate the IoT market.

Already some of the most successful commercial IoT solutions are providing services rather than simply devices to consumers. Examples include in-car telematics, used toCRM IoT 2 monitor driver performance and to adjust insurance premiums and heart implants that send data to physicians that can be analysed to identify any slowing of heart rhythm or rapid heartbeats. In the public realm, IoT will be used within Smart Cities to provide services to constituents that will, for example, reduce congestion, optimize energy use and support public safety. The common theme in all of these examples is that the IoT is being used to provide services with little or no input required by the individual. The IoT and the devices themselves are for the most part invisible. The vast bulk of IoT activity will be invisible, machine to machine not device to customer or vendor.

Many of the commercial and smart home technologies we see today are really just gimmicks as already available sensor and Wi-Fi technology wait on other essential components of the IoT ecosystem to catch up that will enable IoT driven services to be launched. In this IoT services ecosystem the role of CRM will be limited.

Data Loses its Value within Seconds
As previously discussed the real power of the IoT is in the data created by the sensors. The majority of data created by sensors will begin to lose value within seconds of being generated. Weather data, traffic congestion, pollution information, smoke and fire detection, location data and personal security information is constantly changing requiring real time analysis and complex event processing rather than storage in a CRM system. In this context the CRM application becomes merely a system of record providing a history of what happened. The IoT requires real time, not sometime, analytics and decisions.

The Future of Customer Service is Self-Service – Not Assisted Service
The future of customer service is self-service not assisted service. In 2015 web self-service overtook all other customer service channels. Intelligent virtual assistant (IVA) use is seeing rapid adoption across multiple industry sectors. Mobile phone vendors have been working on personal assistants since almost the development of the first app. Your mobile device comes preinstalled with apps such as calendar, reminder, notes and a ticket and boarding pass wallet and these mobile capabilities will soon be augmented with speech recognition. Today, four of the largest global IT organizations — Apple, Google, Microsoft and Amazon— offer speech recognition software. Speech recognition has the potential to transform the self-service user experience, making it a more natural experience and most importantly hands free. Speech recognition can deliver service to users anywhere and in any situation or context. It will be the user interface for IoT services. And already retailers have begun to explore the potential of voice driven self-service with for example Domino’s Pizza introducing Dom their virtual voice ordering assistant.

CRM applications are on the wrong side of the self v assisted service equation, having only a major role to play in assisted customer service.

Predictive and Proactive Customer Service is not a Business Opportunity
Another argument in favour of CRM and the IoT is that together they will deliver improved customer service. The expectation is that organizations will be able to offer proactive customer service based on alerts or status notifications from the smart devices and sensors. Again this takes a device rather than services view of the IoT.

The scenario of smart devices automatically triggering support services and outbound calls from customer service agents will certainly occur in support of high value products and services. No organization however is going to hire additional customer service agents to provide proactive customer service for low value products and services. In addition customers will be suspicious of assisted proactive service believing it’ll be used as a sales call and also may not appreciate the interruption.

We already obtain proactive customer service. For example our mobile phones, laptops gaming platforms are all automatically updated with the latest SW or firmware releases. None of us pay for this. For the most part proactive customer service will be automatic and invisible. Proactive customer service is not a business opportunity and is merely a cost of doing business in the 21st century.

Privacy Concerns will hold back Sales and Marketing
Another key benefit of IoT is the ability for vendors to track who is buying their products and how they are being used. This has the potential to transform marketing and to improve customer segmentation and targeting. The elephant in the room is however privacy. Good luck getting individual customers and businesses to allow you to mine and analyse their data. Assuming data access permission is granted what is in it for customers? Instead of cold calls will they instead get hot calls and more pushy sales reps?

A Step Too Far
The IoT is a step too far for CRM. The core components of IoT solutions will be data streaming, complex event processing, process automation technologies, business rules engines, voice recognition and biometrics. CRM systems will capture event histories and manage some IoT devices but this will be a peripheral role. CRM is suited for business today, it is a 00’s technology, it may not however be suited for the IoT driven businesses of the future.

The Future of Self-Service; Virtual Assistants, Speech Recognition and the Internet of Things

Introduction
When is the last time you visited a bank or even talked to a bank representative? When is the last time you contacted a travel agent? Where previously we’d have used a travel agent many of us now prefer to research and book the individual components of our holiday ourselves. The history of the internet has been a story of personal empowerment. Empowered customers, especially younger demographics, are today more than happy to resolve problems for themselves valuing the convenience, speed and anonymity offered by frictionless self-service experiences.

In 2015 leading analysts indicated that web self-service interactions overtook all other channels and that survey respondents reported using the FAQ pages on a company’s website more than speaking with an agent over the phone. The future of customer service is thus quite clearly self-service. However what is the future for self-service itself?

Intelligent Virtual Assistants
Intelligent virtual assistant (IVA) use is seeing rapid adoption across multiple industry sectors. IVAs attempt to humanize web self-service by delivering knowledge and information to customers via a human like interface. The attraction for businesses is obvious. Unlike a customer service representative IVAs can serve thousands of customers at once, they are available 24/7, across all channels and the experience is consistent.

However the predominant IVA experience today of typing in questions and receiving spoken answers via a computer generated assistant is unsatisfactory, unrealistic and, in my opinion, slightly creepy. Having a computer designed, cartoonish image acting as the face of your organization is also a risk. As a result many organizations, particularly in the retail sector are using IVAs as an opportunity for differentiation and a visual extension of their basic web self-service technologies rather than as a key customer engagement channel.

We are still at the nascent state of IVA development. The next step in its development will be to make the customer experience more realistic. This means replacing the requirement for users to type questions with speech recognition.

Speech Recognition
Today, four of the largest global IT organizations — Apple, Google, Microsoft and Amazon— offer speech recognition software. Apple was the first mover with Siri. Google followed with its own natural language user interface, Google Now, Microsoft came to market with Cortana and most recently Amazon has released its voice-controlled personal assistant, Alexa. So why do we have this sudden interest in voice recognition? The answer lies in both self-service and the internet of things (IoT).

Speech recognition has the potential to transform the self-service user experience, making it a more natural experience and most importantly hands free. Speech recognition can deliver service to users anywhere and in any situation or context. Initially we will see IVA vendors augmenting their solutions with speech recognition capabilities to offer voice driven information search and retrieval such as video on demand. Already retailers have begun to explore the potential of voice driven self-service with for example Domino’s Pizza introducing Dom their virtual voice ordering assistant.

future iot
WSS and the Internet of Things
Self-service will move beyond voice driven information search and retrieval to deliver the ability to trigger and interact with processes using speech.

Mistakenly many view the IoT in terms of smart devices; in terms of smart thermostats, kettles, fridges and wearables. However the real power in IoT is in the data created by the sensors themselves. Organizations that can utilize this data and deliver services based on this data will dominate the IoT market. Already some of the most successful commercial IoT solutions are providing services rather than simply devices to consumers. In-car telematics is now widely used in the insurance industry today to monitor driver performance and to adjust insurance premiums accordingly. In medicine, heart implants are being used that send data to physicians that can be analyzed to identify any slowing of heart rhythm or rapid heartbeats. In the public realm, IoT will be used within Smart Cities to provide services to constituents that will, for example, reduce congestion, optimize energy use and support public safety. The common theme in all of these examples is that the IoT is being used to provide services with little or no input required by the individual. The IoT and the devices themselves are for the most part invisible.

As humans we do not have the capacity to engage with huge numbers of IoT devices. Do we really want to be alerted and prompted on a regular basis by multiple frivolous IoT devices all competing for our attention? As a result the IoT will be almost invisible, delivering services for us in the background to our lives and interrupting us only when a decision is required or a result has been achieved. Successful IoT solutions will remove complexity from our lives rather than add to it.

The trigger and interaction method for all of these IoT services will be speech. With so many potential IoT devices and services, voice control provides a simpler, quicker and more convenient method of interaction rather than an app and a UI.

The Personal Virtual Assistant
Self-service will eventually break free of the enterprise and become a key part of our personal lives. Mobile phone vendors have been working on personal assistants since almost the development of the first app. Your iPhone comes preinstalled with apps such as Apple pay, calendar, reminder, notes and a ticket and boarding pass wallet. In addition Android devices arrive with a password manager, family location services and account status apps. Despite the fact that there are millions of apps available the majority of us use only a few apps daily. It appears that app fatigue is starting to set in. Siri, Google Now and Cortana will be the catalyst for turning these apps, many seldom used and sometimes referred to derogatively as bloatwear, into something more useful and easier to use.

The personal virtual assistant will be the ultimate self-service technology that brings together multiple technologies including speech recognition, knowledge management, wearables, IoT, complex event processing and artificial intelligence. This is imminent. Today for example Microsoft Cortana, if approved by the user, can scan your email to see if you have a flight coming up, then use the information to alert you when it’s time to leave for the airport.

Service scheduling, booking a restaurant or flight, insurance renewals, ensuring your finance products are on the best rate of interest, price comparisons, personal security and health monitoring — all of these are important yet mundane processes we perform on a daily basis that most of us would be happy to outsource to a personal assistant. In effect the personal assistant starts to act as an airbag for our lives, ready to step in when we need it, not constantly competing for our attention.

Conclusion
Self-service is the future of customer service and its evolution is inextricably linked to developments in speech analytics and the IoT. In the IoT world speech will be the most convenient gateway to access information and services. Self-service will go beyond the simple search and delivery of information to the delivery of more complex customer service processes.

Ultimately we are looking at a post app world where information and data from multiple sources including devices is combined to deliver services. Then when you need information or a service you’ll just ask for it.