Intelligent Automation

Robotic Process Automation (RPA)

Workforce automation will be one of the biggest technology disruptors over the next decade. Using the right technology, you could automate more than half of your processes.

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5 common pitfalls when implementing AI, and how to avoid them

When it comes to AI implementation, the greatest challenges stem from organizational cultures, silo mentalities and old practices. This blog identifies five common AI implementation challenges, along with suggestions to overcome them.

A key enabler of digital transformation

Intelligent automation is CGI’s concept and framework for bringing emerging technologies such as robotics, Internet of Things (IoT), advanced analytics and AI to bear and to transform the way organizations do business, create and deliver services, interact with customers and citizens, and enable employees to work on higher value activities.

Intelligent automation can include relatively simple automations leveraging RPA, conversational AI solutions like chatbots or IoT-based industrial automations, as well as AI-powered cognitive virtual agents or augmented reality.

CGI helps clients improve the customer experience and operational efficiency through smart deployment of intelligent automation services.

Intelligent decision and support system to control flood barrier

Rijkswaterstaat is part of the Dutch Ministry of Infrastructure and the Environment. It is responsible for public works and water management, including the construction and maintenance of waterways and roads and, importantly, flood protection and prevention. CGI accepted the challenge to build a system to control the Maeslant and Hartel flood barriers. The decision and support system decides whether to close the barriers in a storm based on weather readings from nearby weather stations and buoys. Fully autonomous and uninfluenced by most conditions, the Maeslant barrier is sometimes referred to as the largest robot in the world.

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Envision a new way of advancing intelligent automation across your enterprise

IA strategy & assessment work	IA sprint	IA production & scale	IA change management	IA managed service
Define the IA ambition through structured workshops, process assessments, IA roadmap, technology vendor ecosystem	Select one to three IA use cases or processes; develop and test automations; run them in controlled pre-production; and prove the value and business case	Establish an agile design factory using templates and pattern libraries; manage process and use case backlog; prioritize use cases, build and test/release bots; build and integrate production architecture and infrastructure	Complement the Scale Factory; in parallel, develop change management plans; update HR policies, develop new roles and responsibilities, job descriptions, establish training; develop IA Center of Excellence model; manage transitions	Manage bot control room; provide bot maintenance, support and optimization; optimize license usage; manage KPIs; leverage lean process reengineering; leverage bots as a service model