A growth-first approach to operating model transformation

Growth-first operating model transformation

Operating model transformation is how enterprises improve performance across workflows, systems and decision-making. 

Valtech’s approach to operating model transformation focuses on unlocking value in existing operating models by connecting execution, not replacing it. 

Most enterprises feel trapped in reinvention cycles designed for certainty over velocity, in operating models built for outdated ways of working, and in fragmented experiences across siloed systems, data and teams.  

What’s needed now isn’t another transformation cycle. It’s turning what already exists into a new engine of growth and momentum by orchestrating people, systems and AI around the experience. 

Transformation through connected execution 

Instead of redesigning the model in theory, we transform how it works in practice: 

  • Workflows are connected across systems and teams.
  • Execution is orchestrated through AI and automation. 
  • Decisions are supported in real time. 
  • Performance improves continuously. 

This is operating model transformation as a working system, not a target state. 

Reorienting around trapped value  

Most operating model transformation approaches define structures and governance, redesign processes in isolation, and focus on future-state models. Valtech focuses on unlocking trapped value in the current model. 

That means using existing platforms instead of replacing them and connecting systems instead of rebuilding them. The result is faster impact, lower risk and immediate performance gains. 

How it works

  • Intelligent work planning

    AI transforms how work is defined, prioritized and coordinated. 

    Result: Less coordination overhead, faster planning cycles, better prioritization 

  • Connected design and delivery

    Design, engineering and QA operate as a single system. 

    Result: Faster delivery, higher quality, continuous improvement  

  • Predictive release and deployment

    Release management becomes data-driven and proactive. 

    Result: Faster releases with lower risk 

  • AI-powered operations and support

    Operations shift from reactive to proactive. 

    Result: Improved uptime, lower cost-to-serve, faster resolution

When operating model transformation is implemented this way, workflows connect, systems coordinate execution automatically, teams spend less time managing work and performance improves continuously, not periodically.

This is what operating model transformation looks like when it is fully operationalized. 

The role of AI in operating model transformation 

In Valtech’s approach, AI is embedded directly into the operating model. AI enables: 

  • Real-time orchestration across workflows
  • Automated coordination between systems and teams
  • Continuous optimization based on live data
  • Scaling without proportional cost increases

Orchestration, not rip-and-replace 

Operating model transformation doesn’t require starting over. It requires making what you already have work as a system. Valtech helps enterprises do that by connecting workflows, systems and decisions into a single execution model powered by AI. 

 

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FAQs

  • What does operating model transformation mean in practical terms?

    Operating model transformation is the process of improving how a business runs across workflows, systems and decision-making. In practice, that means: 

    • Connecting fragmented workflows across teams and platforms
    • Embedding AI into planning, delivery, release and operations
    • Automating coordination and repetitive work
    • Creating continuous feedback loops across the lifecycle

    Valtech delivers operating model transformation by turning these activities into a connected execution system rather than separate functions.

  • How does Valtech approach operating model transformation differently?

    Most operating model transformation focuses on redesigning structures or defining future-state models. Valtech focuses on improving execution inside the existing operating model. 

    This includes: 

    • Connecting systems instead of replacing them
    • Embedding AI into workflows instead of adding tools
    • Orchestrating work across teams instead of managing handoffs
    • Improving performance continuously instead of through transformation cycles

    This approach unlocks value faster and avoids large-scale reinvention programs. 

  • What are AI-native workflows in operating model transformation?

    These are workflows where AI is embedded directly into how work is planned, delivered and operated. In operating model transformation, this means: 

    • AI generates and prioritizes work based on real performance data
    • AI supports design, engineering and QA activities
    • AI optimizes release and deployment processes
    • AI monitors systems and resolves issues in operations

    These workflows replace manual coordination with system-driven execution. 

  • How does intelligent work planning improve the operating model?

    Intelligent work planning uses AI to improve how work is defined and prioritized. It works by: 

    • Turning performance insights and user needs into backlog items
    • Forecasting team capacity and workload
    • Automatically routing incoming requests
    • Improving prioritization across delivery teams

    This reduces planning overhead and improves the flow of work across the operating model.

  • What is outcome-driven design and build?

    Outcome-driven design and build connects design, engineering and QA into a continuous system. In an operating model transformation, this includes: 

    • AI-assisted design exploration and prototyping
    • Automated documentation and knowledge generation
    • AI-supported code generation, testing and validation
    • Continuous feedback loops across build and release

    This shifts teams from delivering outputs to delivering measurable improvements.

  • How does operating model transformation improve release and deployment?

    Operating model transformation improves release processes by embedding AI into development and deployment workflows. This enables: 

    • Real-time release readiness analysis
    • Predictive deployment scheduling
    • Automated migration and rollback
    • Continuous feedback from testing and user acceptance

    The result is faster, more consistent and lower-risk release cycles.

  • What role do AI agents play?

    AI agents automate and coordinate activities across the operating model. 

    They are used to: 

    • Monitor uptime and application performance
    • Detect anomalies and triage incidents
    • Perform root cause analysis
    • Automate support and ticket resolution
    • Coordinate workflows across business functions

    These agents reduce manual effort and improve system performance at scale.

  • How does this improve enterprise operations?

    Operating model transformation shifts operations from reactive to proactive. This is achieved by: 

    • Continuously monitoring systems instead of waiting for failures
    • Automating patching, upgrades and dependency management
    • Enabling real-time support through AI agents
    • Reducing reliance on manual intervention

    The result is improved uptime, faster resolution and lower support costs.

  • What outcomes does this approach deliver?

    Operating model transformation delivered through connected execution typically results in: 

    • Lower cost-to-serve across operations
    • Faster delivery and release cycles
    • Improved system stability and uptime
    • Reduced operational overhead
    • Better coordination across teams
    • Continuous performance improvement

    These outcomes come from changing how the operating model works as a system. 

  • How does this connect to customer experience and growth?

    Valtech’s approach to operating model transformation is anchored in experience. By orchestrating workflows, systems and AI around customer interactions: 

    • Experiences become faster and more consistent
    • Delivery cycles align more closely with customer needs
    • Operational efficiency supports growth, not just cost reduction

    This is how operating model transformation becomes a driver of both efficiency and revenue. 

See where transformation can take you

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