Business Optimization Platform
The client came to us with the idea of developing a smart system to optimize workflows and sharpen strategic choices. They required cutting-edge technology to boost efficiency and guide leadership.
We developed a scalable solution using Domain-Driven Design and Event-Driven Architecture. The platform is ready to get the first user feedback on how it can improve workplace collaboration and business process efficiency.
Industry:
Digital Transformation
Services:
Back End Development, Cloud / DevOps, Front End Development, QA as a Service, Software Testing
Location:
US
Challenge
The founder approached us with a clear vision: to revolutionize how business manage their complex operations. Drawing from extensive experience in large-scale business operations, they identified a critical market gap where traditional management approaches were failing to address the unique challenges of modern business. The vision was to create an intelligent platform that could handle all business processes, stakeholders, and dependencies that characterize today's complex business environments.
Complex process management in business operations
Such companies struggle with intricate, multi-layered operational processes involving numerous stakeholders, contractors, and regulatory requirements. Manual tracking and coordination of these processes lead to inefficiencies and potential compliance risks.
Cross-project dependencies management
Business operations involve multiple simultaneous projects with complex interdependencies. Traditional management tools fail to provide clear visibility of how delays or changes in one project impact others, making it challenging to optimize resource allocation and maintain schedules.
Task management tool overload
Teams are overwhelmed by numerous task management tools across different departments and contractor organizations. This fragmentation makes it challenging to maintain a unified view of operations and track critical path activities.
Schedule optimization challenges
Complex scheduling requirements across drilling operations, maintenance activities, and resource allocation create bottlenecks in operational efficiency. Manual scheduling processes struggle to account for all variables and dependencies.
Solution
We started our development work to build a comprehensive platform from scratch, combining modern technologies and architectural patterns:
Intelligent system architecture
Implemented Domain-Driven Design principles for complex business logic
Utilized Event-Driven Architecture for real-time processing
Deployed microservices on Microsoft Azure and Kubernets for scalability
AI integration framework
Developed CrewAI-based intelligent agents for process automation
Integrated Large Language Models (LLMs) for advanced analytics
Collaboration infrastructure
Implemented Matrix.org protocol for secure real-time communication
Built a distributed collaboration engine using Dapr
Data management
Deployed Azure CosmosDB for scalable data storage
Utilized EventStoreDB for event sourcing
Implemented Hackolade for data modeling and documentation
Technologies Used
We created a comprehensive technology solution using Microsoft Azure's features. It combines cloud infrastructure, an AI system, and scalable databases. This setup allows real-time data processing, intelligent task automation, and seamless collaboration, all with high security and performance.
The workflow
Our development journey took a more Scrum-oriented path. The project kicked off with our architect establishing the foundational architecture before the development team came on board. Once the team was assembled, we operated in sprints, each targeting specific deliverables.
Pre-development
Gathered requirements to come up with MVP architecture
Design & planning
System architecture design
Early sprints (technical foundation)
Development environment preparation.
Feature development sprints
AI integration and collaboration features implementation
Continuous activities (throughout sprints
Automation testing enhancement and AI model validation
Deployment strategy
Staged rollout approach and production environment monitoring
About the team
Led by a seasoned Solution Architect, the team combined specialized skills in AI/ML, full-stack development, data engineering, and quality assurance to ensure excellence across all aspects of the project.
Team composition
Project manager
1
Solution architect
1
Data engineer
3
Fullstack engineers
6
QA engineer
1
UX/ UI designer
1
Impact
This business optimization platform is aimed at smoothing business operations through strategic improvements in key areas.
Process optimization
Streamline workflows and automate routine tasks, enabling businesses to focus on strategic initiatives.
Enhanced decision-making
Platform insights and real-time data analytics drive faster, more informed business decisions.
Operational efficiency
Reduce manual intervention and improve resource utilization across departments.
System performance
Robust distributed architecture handling enterprise-scale operations with exceptional reliability.
Collaboration framework
Advanced real-time communication infrastructure supporting seamless cross-team coordination.
