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AI and Intelligent Automation

Recent advancements in artificial intelligence and automation technology have made it easier to transform business processes without having to spend millions of dollars and many months implementing before seeing value from your effort.

You can now leverage technologies such as the Microsoft Power Platform, OpenAI, and Data Fabric to do this incrementally at a controlled speed delivering value that is also prioritized by impact.

The outcomes are the sum or compounding value of all the things in your organization that can be simplified or improved with these technologies. If done correctly this can amplify an employee’s purpose and potential leveraging AI and automation to augment their reasoning and reach.

  • Increasing revenue per employee is critical as it signifies resource efficiency, cost-effectiveness, and scalability for the organization. Layoffs are lazy, its better longer term thinking to focus on optimizing processes, enhancing employee skills, and fostering a culture of productivity and collaboration. This maximizes the potential of the existing employees and drives revenue growth.

  • Reversing Parkinson's law in a well-established organization is critical in the new age of Intelligent Automation and AI because it allows the organization to break free from the constraints of bureaucracy and inefficiency. By streamlining processes, leveraging technology, and empowering employees with new roles and responsibilities, the organization can achieve higher productivity, innovation, and value creation without resorting to spreadsheet based expense cutting.

  • High velocity value streaming from the incremental implementation of Intelligent Automation and AI provides organizations with a competitive edge by accelerating decision-making, improving operational efficiency, and enabling rapid innovation. It enables organizations to deliver solutions faster, optimize resource allocation, and leverage data-driven insights.

AI and Intelligent Automation Advisory and Augmentation Services

As an organization you will not decide if you will or will not leverage the new advancements in AI and Automation technologies. How you manage the change will dictate how much and how fast you will capitalize on this innovation that promises immense benefits.

There are methods and patterns that you can follow to eliminate your risk and have more control over your pace and purpose with these initiatives without wasting limited resources.

Here is a list of 8 things that we have learned are critical to finding success:

  1. A business case for change and measuring an organization's capacity to change is critical for AI and Intelligent Automation program's success because it ensures alignment with strategic objectives, secures necessary resources, and provides a baseline for tracking progress, fostering accountability, and ensuring the effective implementation and adoption of transformative initiatives.

  2. Governance, Security, and Responsible AI Standards are critical for AI and Intelligent Automation program's success as they ensure ethical and responsible use of AI, protect sensitive data, mitigate risks, and build trust with stakeholders. By establishing clear guidelines, standards, and safeguards, organizations can minimize legal and ethical concerns, maintain compliance, and drive long-term success.

  3. Sponsorship and stakeholder management and communication are critical for AI and Intelligent Automation program's success as they secure leadership support, align stakeholders' interests, and ensure clear and consistent communication to drive adoption, manage expectations, and address any resistance or concerns that may arise throughout the journey.

  4. Having a great process for intake, ideation, and backlog prioritization of use cases is important for AI and Intelligent Automation program's transformation success as it enables systematic identification of high-impact opportunities, ensures alignment with strategic goals, and optimizes resource allocation, leading to the implementation of the most valuable and impactful automation initiatives.

  5. Focusing on Human-Centered Design helps improve the speed and success of solution adoption and implementation for AI and Intelligent Automation programs by directly involving end-users in the design process, understanding their needs, and iterating rapidly based on feedback, leading to solutions that are intuitive, user-friendly, and effectively meet user requirements without extensive development cycles.

  6. Monitoring the velocity of fusion teams and augmenting them to scale up and down makes AI and Intelligent Automation programs more efficient and cost-effective by ensuring optimal resource utilization, adapting to changing project requirements, and enabling agile response to workload fluctuations, resulting in improved productivity, reduced costs, and streamlined operations.

  7. Developing a strong knowledge model, reskilling, and training strategy makes AI and Intelligent Automation programs successful by empowering employees with the necessary skills and knowledge to effectively leverage and work alongside automation technologies, fostering a culture of continuous learning, adaptability, and innovation within the organization.

  8. An adoption management and value capture strategy for AI and Intelligent Automation programs ensures successful implementation by actively managing change, driving user adoption, and demonstrating tangible business value. This, in turn, builds confidence and support within the organization, leading to increased investment, resource allocation, and the ability to scale and sustain the program's impact over time.

Where to Start…

We recommend starting to create a business case for change and learning more about applicable uses cases and outcomes in your industry or workload. Our team can advise and augment your journey.


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