Forbes contributing writer Adrian Bridgwater recently observed on Forbes.com, \u201cAutomation is massively important in the realm of software application development and software systems testing\/management today.\u201d\n\n\nA new industrial revolution. \u201cTechnology automation is in fact not so far away from the industrial automation systems that drove the industrial revolutions - i.e. it looks after \u2018stuff\u2019 when the humans aren\u2019t watching.\u201d Replacing manual effort with automation is a trend that\u2019s unmistakable when it comes to maintaining enterprise landscapes.\n\n\nBridgwater continues, \u201cAutomation agents are chunks of software code that run with an explicitly defined goal and serve internal system needs such as initiating, validating, monitoring (and if needed) terminating (or altering) other software applications or processes.\u201d\n\n\nToday, that approach can help companies reinvent the business of enterprise applications by using intelligent automation to manage rising volume, velocity and complexity.\n\n\nIt takes an army. Imagine commanding a vast army of robots that are on call 24 hours a day, 7 days a week. At your command, they can jump into action and verify that all of your business scenarios work across all enterprise applications just as your end users would use them. Of course, they are not physical robots, they\u2019re intelligent software robots. These software robots can even execute parts of your digital back-end processes in production to eliminate tedious repetitive tasks that your users do every day.\n\n\nThis is the emerging reality where digital labor is the new low cost alternative to manual labor. Intelligent software can easily handle most manual tasks with a surprising degree of sophistication.\n\n\nFor example, these robots can perform functional tests that help companies check every business process and every underlying enterprise system \u2013 every day. In fact, one enterprise is validating 300,000 business process steps daily on 100 virtual machines. Given the complexity and scope of today\u2019s enterprise landscapes, automation offers the only way to validate end-to-end business processes completely and efficiently. There\u2019s just no way to do this manually.\n\n\nWhat makes it intelligent? Software robots don\u2019t just mindlessly reproduce manual activity. They can actually make intelligent decisions just like a human being would, based on dynamic information. Errors and exceptions can be checked along the way and alternate actions taken when things do not quite work as expected.\n\n\nIntelligent automation software actually has an \u201cunderstanding\u201d of your business processes and their variations, and takes that knowledge into account when executing automated business process validation to verify that the right business outcome occurred.\n\n\nWhen changes are made to underlying enterprise applications (like SAP, Oracle, or Salesforce.com) the automation software can also point out which business processes are going to be impacted by the change - and therefore need to be tested. Intelligent automation can also update its own understanding and description of those business processes by incorporating what\u2019s changed into its database of existing processes.\n\n\nThe result? Acceleration and efficiency. Another enterprise client was able to automate enough processes to save more than 50,000 hours of labor and complete test cycles up to 50 percent faster due to rapid test execution activities, along with a dramatic decrease in production defects.\n\n\nAutomatic automation architects? Not overnight. As Forbes\u2019 Adrian Bridgwater points out, \u201cNobody moves from previously more static systems to cloud-based web-centric high-velocity quality software engineering models overnight.\u201d It takes training and lots of it for certified automation asset developers and automation architects, members of project enablement teams and solution architects, to meet the growing demand for business process validation and automation.\n\n\nIt means high velocity quality engineering. As companies pivot from traditional testing to high-velocity quality engineering models, automation platforms are key to driving agility and innovation into the application development lifecycle. Over the last 5 years, automation adopters have found that it enables faster, more predictable projects because automation eliminates manual effort and the variability in quality and coverage that go along with it. It also means more frequent deployments to market for your business, because every project is faster \u2013 and you can do more with the same team.\n\n\nWhat do you need to get going? Intelligent automation platforms such as Worksoft Certify\u00ae eliminate manual quality assurance and execution steps, automatically validating business processes on a daily basis to identify production defects and replacing manual labor in production. Then there\u2019s Worksoft Analyze\u2122 which automates business process discovery. That means capturing end users\u2019 normal activities and connecting them in an end-to-end process, using artificial intelligence.\n\n\nBridgwater concludes, \u201cOne truth is for sure; software is getting faster (more continuously delivered and developed with more Agile CAPS-A process), so more automation controls should reduce the risk of fingers being lost in the machinery.\u201d Hard to argue with that. With today\u2019s pace of change, every app and every business process need to work \u2013 all the time and on every device. Go bots.\n\n\nFor more information, please contact us.