A supply chain team completes an inventory review and agrees a new approach. The analysis is useful, the decision has an owner and implementation begins.
Several months later, demand has shifted. The specialist who built the analysis is supporting another project. The team knows the decision needs reviewing, but refreshing the inputs and evaluating alternatives keeps slipping behind immediate priorities.
This is a practical challenge for Continuous Decision Intelligence: someone needs the time, skills and responsibility to keep the process working.
Planning as a Service can provide support where internal capacity or expertise is limited.
Continuous Decision Intelligence connects changing business conditions with analysis, optimization and simulation, supported by clear processes for reviewing decisions and acting on the findings.
Sustaining that approach creates recurring work. Data needs to be refreshed and checked. Models need maintenance. Assumptions need operational input. Recommendations need discussion, and approved actions need follow-through.
Our article, Making Continuous Decision Intelligence Part of How You Work – neos by Argon & Co, sets out a focused approach to establishing that process.
Organizations also need to decide how the work will be resourced. Assigning responsibility to an already stretched team does not create the capacity to deliver it.
The gap may be access to specialist analytical skills. It may be the recurring effort required to prepare information for review. Sometimes the organization needs advice on how to frame a question or challenge the assumptions behind a recommendation.
An illustrative manufacturer reviewing production allocation across two sites might need external expertise to develop and maintain the analytical model. Its internal planners could contribute operational context, while business leaders retain responsibility for approving changes.
Another organization may need broader managed planning support to establish a reliable planning cycle before adding more sophisticated decision reviews.
The appropriate arrangement depends on the work required and the capabilities already available.
External analysis becomes more useful when it is connected to the forums where decisions are made.
Agree when inputs are needed, who will validate assumptions and how options will be presented. Define which changes should trigger a review and which can be addressed through established planning rules.
PaaS support can help maintain that rhythm through agreed planning activities, specialist evaluation, training or advisory. It can also support a Center of Excellence that coordinates methods and expertise across the business.
Access to appropriate software may form part of the arrangement where needed. Technology choices should follow the decision requirements and fit with the organization’s existing environment.
Using a service partner does not remove the need for business ownership.
Internal leaders still need to set priorities, explain commercial and operational constraints, authorize decisions and commit resources to implementation.
The partner’s responsibilities should be equally explicit. These might include maintaining agreed models, preparing scenario comparisons or facilitating reviews within a defined scope.
After a decision is implemented, assess both what happened and what the team learned. If the expected benefit did not emerge, examine whether assumptions changed, implementation differed from the plan or the analysis missed an important constraint.
The support model can change over time. An organization may initially rely on external delivery, then take on more responsibility as its people develop. Others may retain specialist support while managing routine activities internally.
neos by Argon & Co helps organizations combine Planning as a Service with ongoing decision support, providing the technology, delivery capacity, training or advisory needed to keep planning capabilities working as the business evolves.
