Our business and technology consulting services ‘Sweet spot’

We go beyond being traditional advisors and aggregators of past knowledge. We help develop bold innovations and new partnerships that empower their clients to disrupt their markets. We view business challenges differently and reimagine solutions leveraging design thinking; combine new and existing technologies to transcend the limitations of traditional software and accelerate the response of complex technology landscapes.
Enterprise software

Here is the summary of how the landscape has changed in the last 10 years:

  • - Many enterprises (85%) have shifted from on-premise to cloud-native solutions
  • - Enterprises are adopting hybrid - multi-cloud environemnts , combining public and private clouds to balance flexibility, security and control over your data.
  • - In 2023, AI is being integrated into enterprise software to automate processes and provide insights.
  • - Natural Language Processing (NLP) - Ai powered chatbots and virtual assistants are becoming common in enterprise solutions for customer service
  • - Cybersecurity and compliance solutions since 2022 are incorporating zero trust architecture models
  • - Composable architectures maximimizing microservices to breakdown larger monolithic applications into smaller independent services  
  • - Devops and CI CD pipelines, will continue to be mainstream to automate testing, deployment and delivery.
  • - Blockchain smart contracts is becoming mature for immutable transactions in the supply chain industry (IBM , Oracle blockchain)
  • - Since 2022, ERP-CRM - Financials are moving towards consolidation platforms

The high-level macro is that the world of software is getting way more crowded and way more complex… and we expect it to get even more crowded and even more complex in the years to come. all the data we have been able to gather through our project mandates

Information deployments - The data economy

Technology makes information easier to create and collect, its volume grows, and effective management and analysis become increasingly critical. Data forms the foundation for AI, Machine learning and IOT. Data then must be processed, transformed, or derived to a state where it provides you innovation within the data economy. 

 

Business/Technology strategy and API architecture

Technology intersects with business in order to deliver information technology value that drives success.

Critical deployment experience in implementing the different API styles (RESTful, GraphQl,gRPC, websockets,etc..) to maximize performance, efficiency, scalability, interoperability.

 

Design Services
Application design services providing functional solutions to help business drive value and resolve complexity.
Business SaaS Applications

Implementing effective business applications on cloud AWS, Azure, GCP by maximizing PaaS- IAAS to improve time to market and customer interactions at all levels, and most important a process analysis to make sure it all makes sense within your on-prem environment.

Lean-Agile - DevOps - SAFe advisory and delivery work

Moving beyond the traditional single-speed delivery models and to more of a hybrid high pace environment. My definition of lean thinking is a combination of delivering value faster and higher quality, especially important in heavily regulated environments like banking, governments and telecom. The approach is compliance by design, ensuring regulatory and legal compliance into the agile process and devsecops from developments through deployment.