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agreenfrog agile transformations

about us

We help adopt agile mindsets and new ways of working through integrated business and software delivery

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Although many organizations now see agile transformations as an organizational wide strategy many are still adopting a fragmented approach. At agreenfrog we help ensure that the teams effectively work towards a common goal to align the enterprise workflows.

Connect your Customer Experience, Strategies, Portfolios,  Teams and Product Pipelines Code changes with Visual Engineering Techniques and innovation lean and agile practices to scale you digital transformations 

We work with all scaling frameworks like SAFe Scaled Framework, Scum.org, Nexus, Disciplined Agile Delivery (DAD), Large Scrum (LesSS), Spotify to any bespoke frameworks 

Let us help you meet digital initiative ambitions through cloud platforms taking a whole of business path approach

Agility is achieved through a whole of business approach

Agile business transformations are complex and contextual. Context is everything different, different environments call for a different mix of orientations, frameworks and methodologies and tools There is no cookie cutter approach to agile transformation. Instead, we need to be able to mix and match the techniques that best suit an organizations situation

Agility is an organizations ability to respond to change

Principle based design, value stream networks, complex systems, emergent practices , team science, distributed leadership  are the new levers to agility 

Putting people at the centre is the heart of agility

Work has changed , opportunities are boundless, we have shifted from a closed system to an open system that is continuously adapting and self organizing in response to this change. We are only limited by our ability to re-imagine the future

Technology is empowering people

Empowered self organizing and independent teams to achieve amazing things and create new experiences through integrated digital ecosystems 

“We can’t solve problems by using the same kind of thinking we used to create them” Albert Einstein

 

Then there was the Cloud

Integrating new capabilities for new ways of working

Always looking for inspiration

Successful teams grow and develop in spite of changing market conditions, while ineffective collaboration can destroy any endeavor. But what makes a team successful? There are different teaming models and approaches to determining teamwork effectiveness. We have learnt through Conway’s Law that the organizations that designs systems are constrained by communication structures and where form creates function  

This is leveraging team science such a psychological safety,  shared mental models, coaching  and mentoring,  distributed leadership within teams to amplify agility. What happens when there is no leader, does leadership emerge ? Listen Radiolab, for insights into comparisons to with fire-flyologists, ant experts, neurologists, a mathematician, and an economist.

Cloud architectures, automation,  server-less design patterns, event driven architectures , are creating a sea of invisible data streams across organizations and organizational boundaries . This can result in more chaos across business operating models , with overlapping responsibilities, unclear data and process ownership, departmental silo’s, short term thinking and asking fro the worm IT solutions 

Agile and lean principles still apply however now now need to be applied in more complex environments. Value streams have been replaced with value stream networks.

Dave Snowden refers to complexity the science of inherent uncertainty and provides practical applications of  complexity theory to management science through his Cynefin framework to help us understand context to apply the correct method or leadership approach in changing situations.

When linked the OODA loop which is an individual and organizational learning and adaption process it can provide for key insights in increasing organizational agility in complex Value Networks through principle based design and mental models , Latticework of Mental Models. There are other examples like liberating structures and agile frameworks like scrum Wardley Maps

Organizations  require forward thinking entrepreneurial culture to capitalize on   these fast changing technology changes like the Digital Transformation, Cloud Innovation, Industry 4.0 ,  Internet of Things ,Simulations, 3D printing, augmented reality, AI  and Big data with advanced analytics to improve agility, safety and resilience and to amplify customer, workforce and community interactions 

Cross functional collaboration is at the heart of Agile and human centered design is an approach that brings users in product development early and reduces the feedback lead time through prototypes and MVP’s that fuel the creation of products that resonate more deeply with the the users by applying a design driven approach  to every touch point along you product journey. And now complemented with model driven architecture MDA that separates business and application logic from the underlying platform technology (J2EE, .Net)  design

An newer trends like Business driven design (BDD) are amplifying the fundamental principles of agile

AI applies advanced topic mining logic to identify topics and relate content to those topics. Topics can reflect any knowledge that’s important, including customers, products, projects, policies and procedures. Project Cortex  uses advanced AI to deliver insights and expertise in the apps you use every day, to harness collective knowledge and to empower people and teams to learn, upskill and innovate faster. AI is creating knowledge entities, a new object class.  The relationships between those topics those knowledge entities and the experiences that connect this knowledge with people creates your knowledge network.

Dr Walid el Abed contemplates that to embrace the new a new future, data must be managed at the data source .  If we are creating data lakes we are decoupling from the life cycle of the source and creating artificial abstractions of data meaning that may be sub optimizing the reals value of the data. An example is the  transformation of business rules specified in natural language (NL) to executable models . This methodology uses Semantics of Business Vocabulary and Business Rules (SBVR)  front ended by MSLA to bridge the gap from NL to  effectively transfer e business semantics from business people to IT and avoid software failures due to miscommunication

 

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