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Taking a more human approach to AI


Business man mergers A.I. (Artificial Intelligence) and human for company management

Artificial Intelligence (AI) is all about machines, obviously. Except it’s not. In truth, discussions surrounding AI may often centre around how competent, intuitive and contextually aware the machine brains we are building have become.

But really, AI is all about us – the humans – and how it can make our lives better.

There was time, perhaps even inside the current decade, when AI tools and functions were still associated with the fanciful ‘talking computers’ that featured in many 1980s movies. It wasn’t that long ago that we still considered AI as something of a ‘toy’ and its application in mission-critical enterprise applications was still somewhat laughable.

Of course now we take talking computers completely seriously. So much so that we’re equally focused on the proficiency of computer speech recognition.

Application of AI applications

But as far as we have come, we still need to look at the real world use cases of AI and ask how it can help us make our lives better. If we’re not applying AI to our human work experiences to examine and analyse where it can make those experiences greater, then what are we doing here in the first place?

The truth is, many enterprises large and small have been struggling with finding the appropriate use cases for new and emerging AI technologies. Companies need to find the workflows inside their business models that can benefit from AI.  Only then can they start to architect towards turning those operational throughputs into truly digital workflows.

So how do we define AI-enabled digital workflow Nirvana and how do we get there?

Typically, the process starts with a technology audit and a process of assessment, quantification and qualification running throughout the IT stack in question. Individual business units will need to step back and identify their work problems and challenges as they look for the elements of their workflows that can be digitised.

Everybody across every line of business function will be involved we need to crowdsource and collaborate to identify strategic areas of business operations that still exist as predominantly manual, accurately measurable and fundamentally repetitive.

These are the parts of business that represent liquid gold, i.e. once we tap the seam, we can channel these functions into AI-driven services that subsequently run as digital workflows. Individuals are liberated from drudgery, productivity is increased and employees have a greater experience — a new virtuous circle is established.

Practical examples

Think about a typical ServiceNow office. When people leave the company we need to manage who has a key fob for access to the car park. This is a perfect example of the type of job that has typically been performed manually through the use of a spreadsheet. This is time consuming, error-prone and obviously creates security issues.

But it’s also (I hope obviously) a perfect example of the type of task we can evolve to become a digital workflow driven by intelligence stemming from AI. I.e. our analytics engine should know that an employee is leaving the firm and so reports, alerts, emails and perhaps even mobile device management to cancel the key fob can all happen automatically.

If we can make all those things smarter and more intuitive, then we can build better experiences faster.

Uber hasn’t actually done anything fundamental to change the way taxis work or drive. It has changed the digital workflow that governs the ability to book and pay for the service. The list of services-centric examples in this space is growing every day.

Automating a bad process doesn’t make it good

We’re often bad in technology industry when it comes to decommissioning things. Think about how many business processes probably exist today that firms need to eradicate and get rid of.

There’s no point in applying AI to these aspects of the business. As we know, automating a bad process doesn’t make it a good process it just makes it an automated bad process. So this re-engineering is actually an opportunity to clean out your cupboard and stop doing the things that you no longer need to do.

An example that came out of a ServiceNow hackathon is a tool to help with filing of patents. One of our hackathon teams used AI and ML to trawl the web for all registered patents using word recognition. They wanted to identify connected words to see if a new invention already existed in some form already.

This would have been costly manual work, that may have been handed over to a specialist (in this case, a patent lawyer), but now we can digitise these aspects of the business.

The human factor baseline

We as humans now need to engineer the existence of AI into our own mindsets and consider how it can help us work differently. This includes knowing what things we don’t need to worry about anymore. For example, we don’t take a map out with us these days, because we use a smartphone – so what else can we stop doing?

As we move down the more humanised road to AI, we will find that AI itself gets smarter as it learns our behavioural patterns, penchants and preferences. We must still be able to apply an element of human judgement where and when we want to, but that’s already part of the current development process as we learn to apply AI in balance when and where it makes sense.

The future of AI is smarter and it is also more human. The end result is more digital at the core, but more human on the surface. If that still sounds like a paradox, then it shouldn’t. We’re at a crucial point of fusion between people and machines and it’s going to be a great experience.

Topics

Featured

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    10-16-2019 ServiceNow customer, Danske Bank, adopted a strategic approach in their service management team. As the largest bank in Denmark and a major retail bank in the Nordics region, they serve 3.5 million retail customers. They have seen tangible evidence of the positive impact of digital workflows and the seamless experiences.
  • Always Be Closing finance
    Service Delivery and Management
    Delivering great service to employees is the first step to improving employee experience
    10-14-2019 The primary audience for HR technology has shifted. It’s no longer HR. They are secondary. Employees are now the primary audience. And while the latest cloud HCM systems can help transform an organization’s HR operations, if you want to improve the employee experience, taking an employee-focused approach to service delivery is the best place to start.
  • Strategy
    Lessons from a Top CIO
    10-11-2019 How does a seasoned CIO lead a digital transformation? She makes friends. Great ideas aren’t enough for a CIO to succeed in leading a digital transformation, says Teri Takai, the former CIO of the U.S. Department of Defense, the states of California and Michigan, as well as Meridian Health Plan. In her 40+ year career, she has had to build consensus, prioritize projects that would advance the organization’s overall goals, communicate often, and practice a lot of patience. Read more tips from Takai on WorkflowQuarterly.com, as well as other CIOs, or watch the embedded video.
  • At the Tech Lounge, the human touch makes all the difference
    10-11-2019 Director of IT Service Management Mirza Baig and his IT team created the walkup Tech Lounge- a space where employees get personalized attention on complex tech issues. As ServiceNow works on automating many common requests and providing easy to find, self-service options, the IT Support technicians have more time to focus on the tough cases.

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