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Redesigning Work and Operations for AI

Unlock Greater Speed, Capacity, and Resilience with Work and Operations Designed for AI 

Achieve More with Operations Built Around People and AI

AI makes new ways of working possible, but existing processes and structures can limit the gains. Moving toward AI-native operations means designing work around the combined capabilities of people, agents, and systems. Bizzdesign helps you compare operating models and design the processes and technology needed to improve performance so you can:

  • Increase throughput by removing delays across entire workflows.
  • Expand capacity by combining human expertise with AI execution.
  • Lower the cost of change by resolving design conflicts before implementation.
  • Operating Model Design
  • Business Process Redesign
  • AI Solution Architecture

Operating Model Design

Improve Operational Agility as AI Changes How You Work 

  • Avoid costly redesign by comparing operating model options before committing to change.
  • Reduce disruption by assessing how operating model changes affect teams and systems.
  • Accelerate delivery by aligning business and IT on the changes each team needs to make.

Business Process Redesign

Improve How People and AI Deliver Work Together

  • Shorten turnaround times by redesigning workflows to remove unnecessary steps and handoffs.
  • Make better use of human expertise by designing where people and AI agents each contribute. 
  • Keep work moving when exceptions arise by defining how agents hand work over to people. 

AI Solution Architecture

Bring AI into Your Operations with Less Rework 

  • Avoid integration delays by designing how AI connects to existing applications and data. 
  • Accelerate delivery by reusing architecture patterns suited to your AI requirements. 
  • Reduce rework by sharing agreed designs and the rationale behind key decisions.
Operating Model Design

Improve Operational Agility as AI Changes How You Work 

  • Avoid costly redesign by comparing operating model options before committing to change.
  • Reduce disruption by assessing how operating model changes affect teams and systems.
  • Accelerate delivery by aligning business and IT on the changes each team needs to make.
Business Process Redesign

Improve How People and AI Deliver Work Together

  • Shorten turnaround times by redesigning workflows to remove unnecessary steps and handoffs.
  • Make better use of human expertise by designing where people and AI agents each contribute. 
  • Keep work moving when exceptions arise by defining how agents hand work over to people. 
AI Solution Architecture

Bring AI into Your Operations with Less Rework 

  • Avoid integration delays by designing how AI connects to existing applications and data. 
  • Accelerate delivery by reusing architecture patterns suited to your AI requirements. 
  • Reduce rework by sharing agreed designs and the rationale behind key decisions.

A Track Record in Delivering Business Value

“Skyguide leads in enterprise architecture in the air navigation services industry because of our ability to model air traffic management processes and their supporting systems. This gives us full visibility of our air traffic control operations and their many dependencies. We can now transform our processes and systems while maintaining resilience to support safe operations in the Swiss air space.”

“[Mapping processes with Bizzdesign] allows us to provide a complete picture of the end-to-end process and all the connections between processes.”

bizzdesign-ai-capabilities

Multiply Your Team’s Impact with AI

Reduce manual effort and reach informed decisions faster with AI capabilities across the Bizzdesign suite, giving your teams more capacity to drive change.

FAQs

AI-native describes an approach in which AI is central to how a business, product, or workflow operates. For an established organization, moving toward AI-native operations involves designing how people and AI agents work together, including which activities agents perform, what information they use, and where human judgment contributes. Designing that change requires understanding how processes, capabilities, and systems fit together today. Bizzdesign helps teams establish that understanding through enterprise architecture management and business architecture management, connecting business goals with capabilities, value streams, operating models, and supporting applications and data. Teams can then explore where a different way of operating could improve service, increase capacity, or support growth. 

Redesigning business processes for AI involves defining the outcome a process should deliver and reconsidering the activities, decisions, and handoffs needed to achieve it. That includes identifying steps AI could perform, where human expertise adds value, and how exceptions should be handled. Comparing the current workflow with a proposed design helps reveal whether a faster activity would simply move a bottleneck elsewhere. Bizzdesign supports that comparison through business process management, helping teams model processes and examine dependencies. Teams can use the models to agree on changes that improve the complete workflow before implementing and measuring them. 

The appropriate division of work depends on demonstrated AI performance, the judgment a task requires, and the consequences of an error. Many tasks benefit from a combination of AI execution and human expertise. For example, an agent could assemble information for a service request while a specialist resolves an unusual case. Making that arrangement workable requires clear inputs, handoffs, and exception paths. Through business process management, Bizzdesign helps teams model activities alongside the roles and systems involved, so they can design where people and agents contribute and validate the proposed workflow through testing. 

Organizing a business around AI requires deciding which capabilities should be shared across the organization and which responsibilities should sit within individual business teams. A central team might provide reusable AI services, while business functions shape the workflows and customer experiences those services support. The right arrangement depends on business goals, available skills, and how work crosses organizational boundaries. Bizzdesign helps teams examine those dependencies through business architecture management, linking capabilities with the people, processes, information, and technology needed to deliver them. Teams can compare organizational options and identify the coordinated changes required to put the chosen operating model into practice. 

Integrating AI into existing systems requires identifying where AI contributes to a workflow, connecting it to the necessary applications and data, and testing how the complete process behaves. The design needs to address access permissions, data quality, performance, and what happens when an AI response or system connection fails. Those requirements influence which integration approach is appropriate. Bizzdesign helps teams evaluate the design options through solution architecture management, bringing business requirements, technology dependencies, and reusable architecture patterns into the assessment. The agreed design then guides implementation and testing, helping delivery teams address dependencies before they cause delays or rework. 

Enterprise architecture tools help teams understand how their processes, applications, and data connect. Business architecture, process modeling, and solution architecture tools build on that understanding to help teams design how work could change with AI. Buyers should look for software that connects proposed workflows to business goals, roles, applications, and data, with support for comparing alternatives and reviewing designs together. Bizzdesign brings those perspectives together through enterprise architecture management, business architecture management, business process management, and solution architecture management. Connecting a proposed process change to its organizational and technology dependencies helps teams assess whether the design is workable and agree on what must change before implementation begins. 

 
Make New Ways of Working Possible with AI
Make New Ways of Working Possible with AI

Discover how to design roles, workflows, and systems that put AI ambition into practice.