Overcoming FOMO and COMO: How to Automate Project Management

Joseph Fuller from Harvard Business School says that companies shift from FOMO (Fear of Missing Out) to COMO (Certainty of Missing Out). Senior executives already know for sure there is so much information that it’s impossible to cope with to its full extent. They are certainly missing out. It’s too late to fear.

Unfortunately, It’s not just a transition period. We start realizing that there is no “normal” after the COVID-19 pandemic but a “next normal” (or a “new normal”). Thus, making a change requires building specific knowledge and relying on already automatized processes.

This is how true agility beyond robotic process automation turned into the key requirement for task management.

Cognitive Automation Works on Decision Quality

Even though agility at scale is in high demand these days, achieving it is still a problem. The problem is two-fold: an inability to execute flawless decisions at scale and a lack of the right data for constant and dynamic backup.

Let’s start with the decision making. If we have enough time, making informed and thoughtful decisions is not that hard. However, no Gantt Chart or Kanban board is up to the task. We can spend months on tedious tasks like collecting spreadsheets, waiting for all the machines to process information and show us connections between data points, making dozens of calls to communicate the arrangements with all the stakeholders, and considering all the perspectives and external factor...however, no one has time for that.

The contemporary world calls for making decisions right now, in real-time, simultaneously, and on various matters. To keep on track, we have nothing but to cut off some important stages on the way.

That’s why making flawless decisions at scale seems impossible. It seems inevitable that quality will be sacrificed for the sake of speed.

But cognitive automation solves the problem without the need for such immolation. It automates everything that’s possible to automate in your enterprise. You just need to check recommendations and accept, decline, or modify them. You can do it even on the way to your office.

The decision-making process happens fast, easily, and is fully automated.

Cognitive automation is not a sort of hyperautomation, though. It involves augmentation, meaning the human input in the processes which the machines are processing. It still needs the decision maker to make a final choice.

Cognitive automation doesn’t cut off the need for collaboration for the sake of speed. It provides people with the right data and valuable insights that let them make numerous decisions fast.

Turning each recommendation check into a flawless decision at scale.

Businesses are Agile with the Right Data

Cognitive automation also deals with the data problem. If you don’t trust the machine and constantly check its logic and data inside, you cannot reach true speed and agility. But if you’re sure that the data inside is correct and accurate, you can feel safe and concentrate on developing the result and objective you’re working on.

A cognitive automation system contains numerous elements needed that are fully connected to all the events happening within and outside your organization. That’s how it provides a single source of truth to achieve decision agility at scale.

The data layer crawls numerous aspects and harmonizes tech elements in real-time and in a single view. Here is what’s inside:

• A library of predefined crawlers.
• A logical data services layer for a holistic review of all the processes happening.
• A layer for delivery of ready consumable data.
• Distributed parallel data processing across multiple clusters and nodes.
• An adaptive execution machine based on processing needs.
• A streamlined mechanism to orchestrate the execution of data processes.
• A system that continuously monitors for any potential failures and reaches out proactively.
  

With all these things inside, the cognitive automation system becomes a complete solution with integrated data, science, process, and change modules that directly enable data-driven decisions and actions.

Team collaboration for project planning now has the mundane tasks completed by the cognitive automation tool and project management software. The humans can now focus their expertise on multiple projects with better workflow management.

That’s how it makes true agility at scale happen. Being a cloud-native software, the cognitive automation system is capable of organizing, transferring, and storing petabytes of transactional data. It offers a fully integrated experience, being a single place for business analysts, IT developers, and data scientists, and providing dynamic user experiences that anticipate their needs.

A cognitive automation tool is always learning. It doesn’t take right data for granted. It constantly asks for your opinion and approval to be on the same page with your business needs and provide valuable input only.

It’s fast and totally automated. But if needed, it can stop, switch to a manual mode, and learn from your logic, recommendations, and new data input. It will process new information within hours and start adopting it in new recommendations right away.

That’s why cognitive automation offers a full package for true agility at scale so needed for project management today. You get the right data, the needed level of automation, the single layer for decision making, and total control to adjust the machine to your organizational needs.

All you need is trust in its capabilities — and seeing the direction clearly. The cognitive automation system will take care of the rest.