Monday, March 27, 2017

Business is running faster than the rest of the enterprise in the Digitalization journey

We like what we have seen so far and the initial proof of concept reinforces that this solution will work well for us. The use cases are quite clear and we can work on prioritizing the four models that we have discussed and finalized. The pipeline of additional opportunities and use cases can be confirmed in the coming days; the teams should work to define these in the near term. You can work with IT and Procurement to complete the infrastructure requirements and the terms of reference. How quickly can it be deployed ?

The vendor loved the diktat like a dream come true; they had invested significant time and effort on their first big potential customer, the scale up opportunity validated their product vision. Business team pushing the deployment added to the excitement with the senior team members throwing their weight behind closure on both sides. The solution provided a significant boost to the digital thrust that the enterprise had embarked upon based on the vision of the Board; it also challenged existing legacy and conventional solutions.

Off went the mini delegation to the IT team designated by the CIO for the prestigious project; they completed their planning for the infrastructure, data integration, impact to other processes and systems, deployment and scale up. Dependence on other groups and vendors were acknowledged and their timelines incorporated into the project plan. The extended timeline did not please any of the stakeholders but was accepted as the most realistic plan which could be executed without any further delay or disruption.

Sequentially the process moved to Procurement, the last stage gate before the project starts rolling. True to reputation and their KPIs, they started with the contract, inclusions and exclusions, licensing models, and outcomes that the solution would deliver. Each tenet was discussed, debated, demands going from unreasonable to giving up some ground, as time rolled by, much to the chagrin of business who wanted the new technology to leapfrog competition with a differentiated offering that would take time to catch up.

The final step to get off the ground – financial negotiation – introduced a new element into the mix, the Finance team because the values were quite large and the vendor as yet small unknown entity. They started from the beginning to discuss what, why, when, who and asked for alternatives against which the solution was benchmarked. Other software that the company had bought were not as expensive, so why is this one ? How much is the discount over list price ? Are we really the first customer in this segment ?

It took some effort to get them moving towards closure; the business head and the CIO, both pushed hard to retain the early adopter advantage in their industry; there were others who were talking and that is where they risked leadership position. With the criticality that time represented, the Board nudged the team to expedite the decision; chastised suitably, the teams closed the deal grudgingly at a value that they believed was higher than what they would have agreed to if they had the time at their disposal to negotiate.

With time lost in the process, suddenly everyone wanted the solution implemented yesterday; the CIO hustled the team to take up the work on priority, the vendor allotted their best resources to the project, and business provided program management and domain expertise. Ancillary vendors were pressurized to deliver in unreasonable time, most obliged so as to not attract the ire of one of their premier customers; the solution was ready and began to churn out changed business outcomes that pushed competition to the edge.

Support from the Board and leadership team ensured that the rigor to monitor did not falter and the promise of deliverables was kept. The Board acknowledged the initiative and associated results, the support provided by the IT team as well as the leadership demonstrated by the Business Head. It was a case of good governance winning with results that mattered. Doubters if any did not raise their concerns or pollute the environment that was committed to putting their best effort to succeed, truly a team effort.

Today, business has taken over the reins of technology led transformation not wanting to leave their future in the hands of technologists. They are taking control and shaping their destiny in the ever changing and disruptive world of digital innovation. Every new technology threatens to challenge conventional business models and legacy systems which constrain agile movement to counter new startups who have nothing to lose. Acquisitions make up for the lost opportunities at a significantly higher cost.

Stay hungry !

Monday, March 20, 2017

Will bots kill the call center outsourcing business ?

I was at a conference where an animated, heated, passionate discussion was happening between members representing the technology players’ leadership team and some customers. It was quite obvious that there was a difference of opinion leading to a disagreement on the subject. There were multiple points of view which added to the liveliness of the debate. The conference organized by an independent organization was on one of the currently hot technologies – artificial intelligence and its manifestation in the form of bots.

The Structure of words determine segmentation methodology and parsing for semantic analysis, tasks that can now be done with higher accuracy though complete sentences require additional facts and external world knowledge. For written text in a chat session, the bot is able to hold fort quite successfully when addressing well-defined tasks and decision trees. Many online portals and businesses have already deployed chat bots to supplement agents who step in when the bot is unable to parse and respond to a question.

Eliza was seen as a breakthrough, so are personal assistants who respond to and act upon simple tasks using basic language parsing tools. While the technology is nascent, attempts to make computers chat with humans have been around for over half a century. Current experiments indicate that they can be purposed for specific tasks. Excitement revolves around automated interactions to improve efficiency and reduce cost in comparison to current models of humans talking to customers for customer support issues.

The Natural Language Processing (NLP) journey that began with SHRDLU has improved significantly with Machine Learning and Deep Learning. The ability to pass the Turing Test (the test investigates whether people can detect if they are talking to machines or humans) is still some time away, though we are getting closer to the milestone. Though some may claim that Eugene passed the test a couple of years back, many do not agree with the results. Artificial Intelligence barrier is yet to be crossed convincingly.

As bots mature and they are evolving fast, their ability to manage specific tasks is already giving organizations the benefit of consistent responses to basic and mundane queries; use cases around query and response of HR systems on leave balances, tax options, and others have been successfully deployed. Externally airlines and hospitality industry have taken the lead while inside our homes personal assistants are making an appearance; the biggest driver however has been the smartphone listening, responding and taking actions.

Call centers and IVR systems continue to drive customers crazy with long decision trees and stupid obvious questions; wait times add to the woes of the frustrated customer. Offshore call centers did reduce the cost but faced backlash on other social impact it created. Bots promise to take up the challenge and address the customer with agility and surprisingly improved outcomes. The rich repository of information and past interactions helps the rules engine train effectively and take decisions objectively.

As the cost of deployment continues to fall with mass development and niche players, companies are slowly embracing this revolution. Which brings to fore the point that will they be able to replace humans in call centers as the bot learns and graduates to the next level of interactions ? Recent times have seen the rise of hullabaloo about jobless growth and the disappearance of low end jobs to be replaced by machines; as the gap to the Turing Test reduces, the probability that they can starts staring us in the face.

The job loss is indeed going to impact destinations that build their business models around calls and low end business process outsourcing (BPO). Many existing players have already started upgrading skills as well as retrain staff for other roles; enterprises will ruthlessly choose efficiency over distant loss of employment even if it involves initial high investment. Are there options available to current players ? It is a race against time for incumbents to move up the value chain or become irrelevant to their customers.

Unless, unless they embellish their services with bots and attack their own business before someone else does. A handful of providers with strong technology backing from within or their parent companies are beginning to offer value added services using bots thereby changing their customer acquisition and retention strategies aligned to the new reality. They are using their rich knowledge repository to train the technology solution towards addressing existing and new problems thus opening up opportunities.

A system is as good as the people who build it; in the end it will be humans who will continue to create the differentiator !