Our knowledge and real-world experience with legacy enterprise systems puts us in a unique position to help companies reinvent their modernization efforts with intelligent automation. We help with all project phases, from design and conception through implementation and testing.

We can help you identify and target tasks to automate, ensuring you launch with projects likely to succeed. We’ll help you recognize tasks that are predictable, mature, efficient, repetitive, based on definable rules, and have enough volume to justify the effort.

We’ll help to ensure compatibility with relevant corporate systems, test early, and plan for ongoing management/technical debt. We can help you define ROI beforehand and develop a plan to maintain measurement on an ongoing basis.

CM First also offers training and mentoring to enterprise teams that want to design, build and implement their own Intelligent Automation projects for the foreseeable future.

About Intelligent Automation

Intelligent Automation is poised to disrupt a wide range of industries automating the repetitive work of information workers. Many companies start by building a portfolio of robotic process automation (RPA) projects to establish a foundation, then layer artificial intelligence (AI) into it as needed to form their “Intelligent Automation” program.

Robotic Process Automation

With RPA, companies can leverage bots to automate a series of keystrokes within or between applications to improve worker productivity. The bots typically replace or augment repetitive human tasks, and if planned, scripted, and managed properly can bridge applications, reduce input errors, improve customer service, and save significant time and money.

Since automation is handled at the GUI-level, most systems old and new, including systems that have been in service for decades might be eligible. In other words, a modern enterprise application can work alongside CA Plex/2E or COBOL/RPG green screen apps in the process chain to get the work done.

“According to Forrester, RPA is on track to reach $2.9 billion by 2021. Forrester and others estimates RPA will reach in the tens of billions in revenue by the late twenties. Rapid adoption is driving growth, and low cost of entry and ease-of-use should fuel that growth even further.”