Agile Language Partners
Potential for abuse exists. Intelligent Agents interacting with employees are also observing employees. ‘Who can access this information’ and ‘what can be allowed to be done with it’ must be strategically decided by each company. Ethically, employees should be aware of this and should consent to it. But conversely, this can also prevent abuse of the corporation. Companies are moving to strengthen the external walls of their systems and networks against an external breach. But internal breaches are much more difficult to detect and deter. Social network attacks are so successful they sometimes deliver more response hits than those to whom the original fishing attack was sent. Employees forward attractive lures to other employees. An internal monitoring AI could seek suspicious patterns and anomalous behavior and flag it for review or even block the activity. This loss of historical employee privacy is difficult to swallow. Still the real potential for damage is forcing companies down this path.
Where is this headed?
Make your staff smarter by deploying natural language intelligent assistants. Imagine every employee in your company with a specialized natural language assistant acting as their personal assistant in keeping your company agile. As the ability of systems to process natural spoken language increases, and we make it possible to link input commands to more and more complex and specific outputs and actions, the “assistant” becomes an “agent” performing actions at the request of its human driver.
As the productivity of every employee skyrockets, motivated employees have the time and energy to think of agile new approaches. The large-scale agility that permits an organization to adjust to a changing market and a rapidly shifting competitive environment is a result of human creativity. As time and energy is recovered by the organization, that surplus can be used on strategic questions. What are we trying to achieve long-term? So what do we need to do? What is the competition doing? What might they do next? Where are idle resources and what are they supposed to be doing? How effective are we? What’s going right? What’s going wrong? What do we need to do differently and how do we make this happen? This complex and continuing adjustment of tactics and strategy, and even bending and changing objectives on the fly, is what humans are good at.
Customer agents and employee agents working together can deliver the ultimate in predictable workflow behavior and outcomes. Natural language human interaction with these agents can be moderated by rules and protocols to ensure that inputs are permissible, internally logical and of benign impact.
With everyday behavior of systems and devices looked after by agents, and monitored by sensors, customers will have more ability to optimize their own experiences and employees will have more time to develop creative strategies and new ways of thinking about the world of networks.
