Getting started with Intelligent Automation involves several key considerations: Automation Strategy: Define a clear automation strategy that aligns with your business objectives. Identify processes that are suitable for automation and prioritising them based on business value, complexity and frequency. What areas of the business would be transformed if the cycle time made step changes towards being completed in near real-time or freed from the constraint of a 9-5 workforce and became 24/7?

Tool Selection and Integration: Select appropriate automation tools and frameworks compatible with AWS services. Whether the Intelligent Automation Software is SaaS or On-Premises, AWS Virtual Machines can be used as part of the service delivery model.

Resilience, Security and Compliance: Consider dependencies, networking requirements, storage needs, and compliance. Ensure robust security measures are in place to protect your virtual machines and data. Implement identity and access management (IAM) policies, encryption, monitoring, and compliance controls to meet regulatory requirements and mitigate security risks.

Monitoring and Optimisation: Establish monitoring and optimisation practices to track the performance, cost, and utilisation of your ‘Digital Workforce’. Analyse metrics, identify inefficiencies and optimise utilisation for cost savings as part of a Centre of Excellence.