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.