Business Agility

Rapidly adapt to continuously changing market & environmental conditions

Over the last two decades the internet and globalization have turned our business environment into a completely different playground. The rules of the game are continuously challenged and adapted. New players enter the playfield. Customers keep on raising the bar of their expectations. For business organizations the stakes are high. In no time companies can gain or lose a lot.

With the ever increasing pace of change sitting still is no option anymore. Quickly and accurately responding to changes is more and more becoming a key component of corporate culture. No longer a key differentiator, but a critical success factor. Its name? Business agility.

Business executives need to embrace and propagate business agility in their organizations: not only as a state of mind, but merely as a practical and working approach to survive and remain successful. Business agility however doesn’t come automatically. It requires new innovative methods and techniques enabling the business to adequately and rapidly create, manage and govern business change in a controlled manner.

One of these new methods and techniques is decision modeling:

  • Decision modeling allows your business people to seamlessly and intuitively define, validate and approve changes in business logic, without necessarily bothering your IT department.
  • Decision modeling makes your business rules, policies and calculation methods visible and transparent throughout your organization for both internal and external purposes of reporting, traceability and compliance.
  • Decision modelling helps you to avoid misinterpretations between business and IT. Decisions modelled by the business can be one-on-one automated without interference of IT analysts or developers.

Avola offers you a ground-breaking platform to quickly and easily implement decision modeling in your organization.

 In Control

Ensure corporate governance through the correct application of laws, rules & regulations

The correct application of laws, rules and regulations is more and more a huge challenge for all stakeholders involved.

For regulatory bodies, shareholders and managing boards, the interest mainly lies in a swift and efficient implementation of the rules and regulations they want to have applied, and afterwards in monitoring the accuracy and consistency of their application. But today’s processes for fulfilling this mission are simply counterproductive.

The first step in the implementation process is publishing the regulation. This is still mainly done using the traditional compilation of unstructured “legal” texts containing the different articles needing to be implemented. The destination of these legal documents are thousands of organizations each of which need to understand and interpret these texts, convert them into implementation plans and put them into music. This not only is very inefficient both in terms of costs and elapsed implementation time, it moreover does not give any guarantee for the correct application of the rules, as loads of communication and interpretation are in play. And to remedy all of  this, complex and expensive audits and control mechanisms need to be deployed.

The result: implementation of new regulations often take between 6-9 months and in some cases years. It costs both governments and other regulatory bodies loads of money and time, and the same goes for organizations having to undergo these processes.

Instead of continuing this way of working, regulatory bodies need to embrace new innovative methods and techniques to achieve their goals.

One of these new methods and techniques is decision modelling:

  • Decision modeling allows regulatory bodies to seamlessly translate regulations and rules into unambiguous structured models that cannot be misinterpreted.
  • Decision modeling allows regulatory bodies to define, validate, test and approve regulations before publishing them.
  • Once approved, decision models can be exposed to organizations as callable web services that can be seamlessly plugged into their operational platform and operating procedures, without any misinterpretation or miscommunication.
  • Decision models allow regulatory bodies to avoid complex and costly auditing and controlling by offering continuous monitoring and full auditability of the application of regulations.

Avola offers a ground-breaking platform to quickly and easily implement regulations using decision modeling.


Improve strategic & tactical decisions by full insight in current business logic and predictive impact analysis on future business evolutions

Lack of insight in the current business logic and difficulty to predict the impact of strategic and tactical decisions on future business performance and on the level of change needed to be implemented often bring managing boards of organization in a state of inertia, in which they are not capable or afraid of taking the required decisions. Alternatively managers and directors keep on taking decisions based on an unhealthy proportion of gut feeling and trial-and-error.

It goes without saying that this situation can unnecessarily cost an organization loads of financial, material and human resources, and can in the worst case scenario even jeopardize the profitability or the continuity of the organization.

There are however new approaches and methods to break this vicious circle of inefficiency. Business agility enabled by decision modeling is one of them.

Using decision modeling:

  • Managers gain full insight in the currently applied business logic and in potential flaws or white spaces in it.
  • Managers can test new business logic and its impact on the organization’s performance and profitability.

Business owners can make sure that the desired business logic is being applied, with full auditability and traceability.

 Business IT Alignment

Automate your business decisions & logic in one push button

The basis for today’s business IT alignment in most organizations is a children’s game, called Chinese whispers. It is a funny game we have all been playing one or more times in kindergarten or primary school. The teacher whispers a sentence to a child, who is then supposed to whisper the same sentence to the next child, and after a dozen or more of these whisperings, the sentence coming out of the game doesn’t have anything to do with the original sentence anymore.

We all know that the game doesn’t work. And still, the highly educated business analysts and project managers responsible for business IT alignment in our organizations swear by it. Subject matter experts and business owners whisper their automation requirements to business architects or business analysts, who then whisper the requirements to technical analysts who finally whisper them to developers. It’s not only a common practice, it’s even the bread and butter for business IT alignment approaches such as the waterfall method and project management methodologies such as Prince2.

The result: lengthy communication and approval cycles, lots of hardly manageable misinterpretations and miscommunications, and finally delivery of automated functionality that doesn’t meet the business expectations leading to frustration, budgetary and timing issues.

There are however far more efficient and effective approaches and methods to tackle the business IT alignment challenge. One of the proven approaches is business agility supported by decision modeling:

  • Decision Modeling allows business owners and subject matter experts to intuitively yet in a very structured and transparent way express their business requirements, validate & test them, and have them validated and approved by the different stakeholders before submitting them for automation.
  • Decision Modeling allows to avoid misinterpretations by IT through one-on-one automatic deployment of the decision model as a web service that an IT developer can seamlessly plug into whatever business application.

Decision Modeling guarantees completeness and accuracy of business requirements by allowing business owners and subject matter experts to proactively validate and test the underlying business logic and to make sure that it produces the desired results.