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Engineering

The fifth pillar of Convertia’s SMART methodology provides custom engineering and development services when your requirements extend beyond platform configuration. Our engineering team builds tailored solutions that integrate seamlessly with the core platform.

Overview

When configuration isn’t enough, our engineering team develops custom capabilities that address your unique business challenges while maintaining platform integrity and supportability.
We combine deep platform expertise with modern development practices to deliver robust, scalable custom solutions.

Engineering Services

Custom Development

Build features and functionality unique to your needs

System Integration

Create complex integrations with proprietary systems

API Development

Develop custom APIs for external access and integration

Migration Tools

Build specialized tools for data migration and transformation

When Custom Engineering Makes Sense

Determine if custom development is the right approach:

Good Candidates for Custom Engineering

Custom engineering is ideal when you have specific requirements that provide significant competitive advantage and cannot be met through configuration.
  • Industry-Specific Workflows: Unique processes for your vertical
  • Proprietary Algorithms: Custom business logic and calculations
  • Legacy System Integration: Connect to older, non-standard systems
  • Advanced Automation: Complex workflows beyond standard capabilities
  • Custom Reporting: Specialized analytics and visualizations
  • Regulatory Compliance: Industry-specific compliance requirements

Consider Configuration First

Many needs can be met without custom code:
1

Assess Requirements

Clearly document what you’re trying to achieve
2

Explore Configuration

Determine if platform configuration can meet the need
3

Evaluate Trade-offs

Compare cost, time, and flexibility of options
4

Decide Approach

Choose configuration, custom development, or hybrid

Development Capabilities

Our engineering team builds across the full stack:

Frontend Development

Custom user interfaces and experiences:
  • Web Applications: Responsive, modern web interfaces
  • Mobile Apps: Native iOS and Android applications
  • Portal Development: Customer and partner portals
  • Component Libraries: Reusable UI components
  • Single Page Applications: Dynamic, app-like web experiences

Backend Development

Server-side logic and data processing:

APIs & Microservices

RESTful APIs and scalable microservices

Business Logic

Custom algorithms and processing

Data Processing

ETL, transformations, and analytics

Automation

Batch jobs and scheduled processes

Integration Development

Connect disparate systems seamlessly:
  • Custom connectors for proprietary systems
  • Real-time event-driven integration
  • Batch data synchronization
  • API middleware and transformation layers
  • Legacy system modernization

Technology Stack

We build on the inConcert platform foundation while leveraging modern development tools and frameworks for custom capabilities.

Platform Foundation

Built on inConcert’s proven technology:
  • Cloud Infrastructure: AWS, Azure, or Google Cloud
  • AI Capabilities: Machine learning and natural language processing
  • Omnichannel: Voice, chat, email, SMS, WhatsApp, social
  • Security: Enterprise-grade authentication and authorization
  • Scalability: Handle growth without architectural changes

Development Technologies

Languages

JavaScript/TypeScript, Python, Java, C#

Frameworks

React, Node.js, .NET Core, Spring Boot

Data

PostgreSQL, MongoDB, Redis, Elasticsearch

APIs

REST, GraphQL, WebSockets, gRPC

DevOps

Docker, Kubernetes, CI/CD pipelines

Cloud

AWS, Azure, GCP services

Development Process

Our structured approach ensures quality results:

Agile Methodology

1

Requirements Gathering

Detailed documentation of functional and technical requirements
2

Solution Design

Architecture and technical design review
3

Sprint Planning

Break work into manageable, iterative sprints
4

Development

Build features with continuous integration
5

Testing

Automated and manual testing throughout
6

Review & Demo

Demonstrate working software to stakeholders
7

Deployment

Release to production with monitoring
8

Iteration

Refine based on feedback and evolving needs

Quality Assurance

Ensure reliability and performance:
  • Unit Testing: Test individual components
  • Integration Testing: Verify system interactions
  • Performance Testing: Ensure scalability under load
  • Security Testing: Identify and address vulnerabilities
  • User Acceptance Testing: Validate with actual users
  • Regression Testing: Confirm existing functionality still works

Common Custom Engineering Projects

Industry-Specific Solutions

Tailored functionality for your vertical: Financial Services:
  • Compliance reporting and audit trails
  • Risk scoring and fraud detection
  • Regulatory requirement automation
  • Secure document management
Healthcare:
  • HIPAA-compliant communication
  • Patient engagement workflows
  • Appointment scheduling and reminders
  • Integration with EHR systems
E-Commerce:
  • Order management and fulfillment
  • Inventory synchronization
  • Customer loyalty programs
  • Multi-channel selling capabilities
Education:
  • Student information system integration
  • Enrollment and admissions workflows
  • Parent and student portals
  • Learning management integration

Advanced Analytics

Custom reporting and insights:

Custom Dashboards

Visualizations tailored to your KPIs

Predictive Models

ML models trained on your data

Real-Time Analytics

Live streaming data analysis

Data Warehousing

Centralized analytics repository

Automation & AI

Intelligent process automation:
  • Custom chatbots with domain-specific knowledge
  • Intelligent document processing
  • Automated decision-making engines
  • Predictive lead scoring models
  • Sentiment analysis for industry terminology
  • Computer vision for image processing

Integration Engineering

Complex system connectivity:

Enterprise Integration Patterns

We implement proven integration patterns to ensure reliable, maintainable connections between systems.
  • Message Queuing: Asynchronous, reliable message delivery
  • Event Streaming: Real-time event processing at scale
  • API Gateway: Centralized API management and security
  • Service Mesh: Microservice communication and observability
  • ETL Pipelines: Extract, transform, load for data integration

Integration Examples

CRM Synchronization:
  • Bi-directional sync of contacts and accounts
  • Real-time opportunity updates
  • Activity tracking and logging
  • Custom field mapping and transformation
ERP Integration:
  • Order creation from sales pipeline
  • Inventory availability checks
  • Pricing and quote generation
  • Invoice and payment status
Marketing Platform Integration:
  • Campaign performance data
  • Lead flow and attribution
  • Email engagement tracking
  • Marketing automation triggers

API Development

Expose platform capabilities externally:

API Design Principles

Well-designed APIs are intuitive, consistent, and designed with the developer experience in mind.
  • RESTful Design: Follow REST best practices
  • Clear Documentation: Comprehensive API docs with examples
  • Versioning: Maintain backward compatibility
  • Authentication: Secure access with OAuth 2.0 or API keys
  • Rate Limiting: Prevent abuse and ensure fair usage
  • Error Handling: Meaningful error messages and status codes

API Use Cases

  • Mobile app development
  • Third-party integrations
  • Custom reporting tools
  • Webhook notifications
  • Partner ecosystem enablement

Implementation & Support

Achieve successful adoption and maximum technology performance with personalized support from our team of consultants throughout the entire development process.

Project Delivery

Discovery Phase:
  • Requirements workshops
  • Technical feasibility analysis
  • Effort estimation
  • Project planning and roadmap
Development Phase:
  • Iterative development sprints
  • Regular stakeholder demos
  • Continuous testing and QA
  • Documentation creation
Deployment Phase:
  • Production deployment planning
  • User training and enablement
  • Go-live support
  • Post-launch optimization

Ongoing Maintenance

Support for custom solutions:
  • Bug fixes and issue resolution
  • Performance monitoring and optimization
  • Security patches and updates
  • Enhancement requests
  • Technical support and troubleshooting

Development Best Practices

We follow industry standards:

Code Quality

Code Reviews

Peer review of all code changes

Documentation

Comprehensive technical documentation

Testing

Automated test coverage

Standards

Consistent coding conventions

Security Practices

  • Secure coding guidelines
  • Dependency vulnerability scanning
  • Secrets management
  • Regular security audits
  • Compliance with industry standards (SOC 2, ISO 27001)

DevOps & CI/CD

1

Version Control

Git-based source code management
2

Automated Testing

Tests run on every code commit
3

Continuous Integration

Automated build and validation
4

Continuous Deployment

Automated deployment to environments
5

Monitoring

Application performance monitoring

Project Governance

Structured management of custom development:

Roles & Responsibilities

  • Product Owner: Defines requirements and priorities
  • Technical Lead: Oversees architecture and development
  • Developers: Build and test features
  • QA Engineer: Validates quality and performance
  • DevOps Engineer: Manages infrastructure and deployment
  • Project Manager: Coordinates timeline and communication

Communication

  • Daily standups during active development
  • Sprint demos every 2 weeks
  • Monthly stakeholder reviews
  • Dedicated Slack channel or Teams workspace
  • Comprehensive project documentation

Cost Considerations

Understand the investment:

Pricing Models

Fixed Price:
  • Well-defined scope and requirements
  • Predictable budget
  • Limited flexibility for changes
Time & Materials:
  • Evolving requirements
  • Maximum flexibility
  • Pay for actual effort
Dedicated Team:
  • Ongoing development needs
  • Long-term partnership
  • Cost-effective for sustained work

Cost Factors

  • Complexity of requirements
  • Integration points and dependencies
  • Performance and scalability needs
  • Security and compliance requirements
  • Timeline and urgency
  • Ongoing support and maintenance

Success Metrics

Measure engineering project success:

On-Time Delivery

Completion within agreed timeline

Budget Adherence

Delivery within budget estimate

Quality

Low defect rate, high test coverage

Business Value

Achievement of business objectives

User Satisfaction

Positive feedback from end users

Maintainability

Easy to support and enhance over time

SMART Methodology Integration

Engineering supports the complete methodology:

Get Started

Ready to explore custom engineering?

Technical Consultation

Discuss your requirements with our engineering team

Proof of Concept

Validate feasibility with a small pilot project

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