Program
Process automation has advanced significantly through the integration of artificial intelligence and machine learning, resulting in Intelligent Automation, also known as Intelligent Business Process Automation (IBPA).
Implementation
Successful intelligent automation (IA) requires advanced technology, a structured framework, and a robust operating model to support deployment, management, and continuous improvement.
Approach
Reference Architecture offers a structured method for planning, deploying, and maintaining IA solutions across the enterprise. It defines key functional areas, including Omnichannel experiences, Core AI automation, and Human Assist capabilities.
Improvement
Integrating Lean thinking and Agile methodologies creates a hybrid approach that improves efficiency, reduces waste, and supports continuous improvement. Adopting Intelligent Automation is essential for organizations to remain competitive in today’s digital landscape.
Learn More
The Intelligent Business Process Automation training program is designed for business and technology leaders aiming to automate organizational processes. It focuses on adopting current artificial intelligence best practices while aligning with organizational objectives.
Participants follow a comprehensive curriculum, learn essential concepts, engage with key stakeholders, and ensure alignment with strategic goals.
Our Mission
Another unique corporate training program from Langden Knowsley (LK)
Developing a framework
The training program helps organizations develop a framework to identify automation opportunities in existing processes and improve them with artificial intelligence.
Methodology
The framework uses Lean-Agile methodology to promote continuous improvement and eliminate waste. This approach delivers immediate value and supports ongoing long-term progress.
Gaining a practical knowledge
Participants will also gain practical knowledge of current IA tools and effective practices. This includes examples of widely used horizontal and vertical processes that demonstrate IA in practice.
Center of Excellence
The training will cover strategies to mobilize the Center of Excellence (CoE) and other teams in support of Intelligent Automation (IA) deployment. The CoE will first implement the governance framework and operating model, including policies, standards, and best practices.
A structured product selection process will ensure technical solutions align with the organization’s strategic objectives. A product catalog will also be maintained for ongoing reference.
Program Review
The final modules emphasize continuous improvement and the systematic adoption of emerging technologies to enhance business value. They encourage a forward-looking approach, ensuring Intelligent Automation remains integral to business processes. By fostering ongoing learning and innovation, the program enables organizations to proactively integrate new technologies into their operations.
Continuous improvement ensures that operational methods are consistently developed and optimized for Intelligent Automation, helping organizations remain competitive. As new technologies emerge, the program equips participants with the tools and knowledge needed to integrate these advancements, supporting ongoing efficiency and innovation across business functions.
Our Program
Equipping you with tools for success.
Success Roadmap
The planning process starts with developing a comprehensive roadmap that outlines the transformation journey and aligns with quality, cost, and time goals. The initial conception phase defines the strategy and vision for Intelligent Automation by setting objectives, scope, and requirements, forming the basis for further planning. The next phase evaluates the organization’s current capabilities and automation maturity, factoring in resources, processes, systems, and data quality. The roadmap also calls for establishing a cross-functional center of excellence to lead and support Intelligent Automation initiatives.
Governance & Organization
Governance and organization encompass the structures, policies, and processes that guide decision-making, accountability, and operations. Effective governance ensures transparency, ethical conduct, and alignment with the organization’s mission and objectives. A governing body, such as a board of directors or trustees, provides oversight, sets strategic direction, and assures compliance with regulatory and legal requirements. Governance frameworks clarify leaders’ roles, responsibilities, and authorities, supporting accountability to stakeholders, including shareholders, employees, and the community.
Business Case
A business case is a structured document or presentation that justifies a specific project or initiative. It provides decision-makers with the information needed to determine if the proposed action supports organizational goals and is warranted by its potential benefits, costs, and risks. The process starts by clearly identifying the underlying problem or opportunity, establishing context, and explaining a well-defined problem statement. This clarity demonstrates the project’s relevance to organizational growth and success. The business case then outlines the project’s objectives and expected benefits, ensuring these benefits are measurable and realistic.
Enterprise Architecture
Enterprise Architecture is a strategic framework that aligns business objectives with information technology infrastructure and processes. By integrating business operations, IT systems, data, and personnel, EA provides a unified perspective. Its primary goal is to ensure technology investments support the organization’s mission, improve operational efficiency, and enable adaptability. This alignment ensures that technologies support business strategies and that IT investments deliver maximum value. EA also promotes standardization, reducing complexity by unifying processes, systems, and technologies across the organization.
Data Management
Effective data management ensures information is accurate, secure, and accessible, supporting informed decisions and strategic goals. As data becomes increasingly valuable, organizations must manage it effectively to remain competitive, comply with regulations, and operate efficiently. Data governance sets policies and standards to maintain quality, integrity, and security, and defines rules for data creation, classification, storage, sharing, and deletion. Data quality management preserves accuracy, completeness, and reliability through regular cleansing, validation, and verification. Organizations should choose storage solutions—on-premises, cloud, or hybrid—that align with performance and cost needs.
Lean-Agile Delivery
Lean-Agile delivery combines Lean Manufacturing and Agile principles to create an efficient, customer-focused approach for delivering projects and products. This methodology is widely employed in software development and other industries to improve speed, flexibility, and value. Agile supports iterative development, customer collaboration, and rapid adaptation to change. Instead of releasing a final product after a long development cycle, Agile delivers small, usable increments at regular intervals, known as “sprints.” This allows teams to adjust based on feedback and changing requirements, ensuring alignment with customer needs.
We’d love to hear more about you & your business!
To learn more, please visit the Langden Knowsley website.
Ready to take your business to the next level?
Our Intelligent Automation program is designed to help you achieve your business goals.