Automation Operating Model

An Automation Operating Model assists in the efficient allocation of resources, both human and technological. It ensures that investments are made in areas that promise the greatest returns and that automation efforts are aligned with organizational goals.

In the realm of automation and AI, risks are inevitable. An operating model helps identify and manage these risks, whether they are technical, compliance-related, or operational. This proactive approach reduces the likelihood of costly setbacks.

To fully embrace the potential of intelligent automation and AI, organizations need to be agile and adaptive. An operating model based on agile principles ensures that automation strategies can evolve in response to market changes and emerging technologies.

Agile principles have proven their worth in software development and are equally valuable in the context of automation and AI. Embracing agility in your Automation Operating Model means:

1. Iterative Development:
   Break down complex automation projects into smaller, manageable components. This iterative approach allows for quick wins and course corrections based on ongoing feedback.
2. Collaboration:
   Foster collaboration between different teams and departments. Cross-functional teams can better understand the nuances of each process and create automation solutions that truly fit the organization's needs.
3. Continuous Improvement:
   Regularly evaluate and optimize automation initiatives. Agile principles promote a culture of continuous learning and enhancement, making your organization more competitive over time.

The complexity of implementing automation and AI can often be overwhelming. To address this challenge, organizations should tap into the potential of internal network organizations:

1. Centers of Excellence (CoE):
   Establishing a CoE dedicated to automation and AI allows for centralized expertise and knowledge-sharing. It serves as a hub for best practices, guidelines, and training.
2. Community of Practice (CoP):
   Encourage employees to participate in CoPs, where they can exchange ideas, experiences, and solutions. A strong CoP promotes a sense of ownership and responsibility among employees, driving innovation.
3. Governance and Oversight:
   Internal network organizations play a vital role in governing automation initiatives, ensuring alignment with organizational goals, and monitoring progress and compliance.

A structured governance ensures that automations aligns with strategic objectives and adheres to regulatory standards, by:

1. Consistency and Standardization:
   Ensures a uniform approach to automation, minimizing errors and non-compliance.
2. Traceability and Auditability
   Facilitates tracking changes, aiding in audits and regulatory compliance.
3. Real-time Monitoring
   Provides continuous insights, allowing prompt issue identification and compliance assurance.
4. Policy Enforcement
   Embeds organizational policies into automated workflows, ensuring compliance.
5. Documentation and Training
   Emphasizes proper documentation for training and compliance awareness.
6. Enhanced Security
   Incorporates robust security measures to meet privacy and data protection regulations.