AI-Powered
Software Development Service

Try our innovative AI SDM (AI-Powered Software Development Methodology)
for fast and efficient software development process.

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Open the full potential of AI for your software engineering

With Processica’s innovative AI SDM we develop software 2x faster:

  • Business products
  • Features to existing product
  • Migration of legacy system
  • Maintenance of legacy system
  • Decreasing of technical debt
  • Integration AI to existing product
  • Integration of company products (using custom AI-agents)

Benefits

Increased ROI Increased ROI
Accelerated and optimized product development Accelerated and optimized product development
Fully organized and supportable project Fully organized and supportable project
Minimized technical debt Minimized technical debt
Future product support savings Future product support savings
Optimized team structure Optimized team structure
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How our team leverages AI to enhance software solutions development
By integrating different AI tools into each stage of the software development process our engineering team maximizes efficiency and productivity by 40%, minimizes issues and technical debts, meets tight deadlines, and provides 2x faster time to market for your ideas.
Processica’s AI SDM includes the following parts:
Creating and updating client’s knowledge base
Creating and updating client’s knowledge base
Fine-tuning AI Copilots by integrating with knowledge base
Fine-tuning AI Copilots by integrating with knowledge base
Using Text-to-Design to streamline UI/UX mockups creation
Using Text-to-Design to streamline UI/UX mockups creation
Applying Design-to-code tools for front-end layout creation
Applying Design-to-code tools for front-end layout creation
Utilizing Design-to-API to speedup API contract creation
Utilizing Design-to-API to speedup API contract creation
Leveraging Requirements-to-code for faster code structure & initial realization
Leveraging Requirements-to-code for faster code structure & initial realization
Automation of unit test creation
Automation of unit test creation
Automation of source code documenting
Automation of source code documenting
Exposing of code debugging tools
Exposing of code debugging tools
Utilizing AI-based quality assurance tools for automation regression & API testing
Utilizing AI-based quality assurance tools for automation regression & API testing
Exploiting Text-to-Pipelines to facilitate DevOps processes
Exploiting Text-to-Pipelines to facilitate DevOps processes
Automation of troubleshooting and bug reporting procedures
Automation of troubleshooting and bug reporting procedures
Harnessing AI tools for technical debt management
Harnessing AI tools for technical debt management

Who can benefit from our AI SDM

SaaS and CPaaS Companies SaaS and CPaaS Companies
Software Product Companies Software Product Companies
Financial Services Companies Financial Services Companies
Other companies with internal development Other companies with internal development

Use Cases

Accelerating Feature Deployment

Scenario: A company needs to quickly deploy new features to stay competitive and meet customer demands.

Solution: Leveraging Processica’s AI SDM, the company is able to rapidly create UI/UX mockups and convert them into functional code, which ensures that new features are robust and error-free. Our methodology makes it easy to integrate the features to the existing deployment process, minimize issues and technical debt, set up the smart monitoring of the new features logs for fast troubleshooting and bug reporting.

Outcome
  • Reduced development time by 50%
  • 35% Faster feature deployment with minimal bugs
  • 30% Enhanced user satisfaction due to timely updates
Enhancing Software Product with AI

Scenario: A company aims to integrate advanced AI capabilities, such as LLM-based chatbots, into its software product.

Solution: Processica’s AI SDM allows the company to customize various customer interactions and streamline the creation of APIs necessary for integrating AI features into the existing product.

Outcome
  • 40% Improved customer interaction with intelligent chatbots
  • 30% Seamless integration of AI features
  • 50% Increased user engagement and satisfaction
Automating Development Pipelines

Scenario: A software product company needs to improve and automate its development pipelines to enhance efficiency, minimize cost and reduce manual errors.

Solution: By employing Processica’s AI-powered Software Developemnt Methodology, the company can automate and streamline the creation of CI/CD pipelines using tools like GitHub, AWS, and Azure services, calculate the infrastructure cost to correct settings, and ensure that issues are promptly identified and resolved.

Outcome
  • 40% reduction in manual pipeline setup time
  • 30% Enhanced development efficiency and reliability
  • 40% Faster delivery cycles with fewer manual errors
Modernizing Legacy Systems

Scenario: A company with legacy systems needs to modernize its infrastructure to improve performance and security, and minimize infrastructure and maintenance cost.

Solution: Processica’s AI SDM can translate system requirements directly into the modern code, helping manage and reduce technical debt, ensuring a smoother implementation of new features independently from legacy systems, using modern architecture and keeping powerful integration between legacy code and new feature code.

Outcome
  • 20% Efficient modernization of legacy systems
  • 15% Improved system performance and security
  • 30% Reduced technical debt and maintenance costs
Smart integration of company’s systems using custom AI-agents

Scenario: A company with multiple disparate systems (e.g., CRM, ERP, ATS, HR, billing, inventory and supply chain management) faces challenges in achieving seamless integration and communication between these systems. The lack of integration leads to inefficiencies, data silos, and increased operational costs.

Solution: Processica’s AI SDM implements AI agents to facilitate the integration between systems. These custom AI agents automate data exchange and ensure smooth interoperability by leveraging a centralized knowledge base, enabling intelligent data interpretation and execution. The methodology includes developing APIs for seamless communication between systems and translating integration requirements into robust and scalable code.

Outcome
  • 25% Increased operational efficiency through seamless system integration
  • 20% Reduction in manual intervention and operational costs
  • 30% Real-time data synchronization and improved business insights
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Technologies We Use

Knowledge Base Creation and Maintenance

  • Guru
  • ClickUp
  • Notion AI
  • Tettra
  • CodeAura
  • Swimm

AI Copilots for Developers

  • Tabnine
  • Repl.it Ghostwriter
  • Workik
  • Gemini Code Assist
  • SuperMaven
  • Codeium

AI Agents Building Platforms

  • Agent Verse
  • Crew AI
  • LLMStack
  • Cimba.ai
  • Relevance AI
  • Wit.ai

Design-to-Code

  • Locofy
  • Anima
  • Builder.io
  • Design 2 Code

Model-to-SQL

  • SQLAI
  • Ask Your Database
  • Text2SQL
  • Workik

Text-to-Design

  • Uizard
  • Figma
  • Text to Design
  • Visme AI
  • Visily

Design-to-API

  • Back4App
  • Encore

Requirements-to-Code

  • GitHub Copilot
  • CodeDesign
  • Katalon Studio
  • Code-LMs
  • Appypie
  • Replit

Check Out Our Latest Blog Posts

Can AI Really Outperform Classical Dev? Our Experiment Says Yes July 29, 2024

Can AI Really Outperform Classical Dev? Our Experiment Says Yes

A recent McKinsey study found that companies using AI in software development processes can cut time-to-market by up to 40% and reduce costs by up to 30%. In today's fast-paced technological landscape, using new tools to boost productivity is not just beneficial—it's crucial. This article presents a game-changing approach: a development pipeline fully integrated with AI code generation tools, designed to speed up the software development process from start to finish. We will compare traditional development methods with AI-powered software development across various stages, including UI/UX design, web interface creation, front-end analytics, database management, and API development.  
How AI-Powered Software Development Process Opens New Revenue Opportunities 35-40% Faster July 19, 2024

How AI-Powered Software Development Process Opens New Revenue Opportunities 35-40% Faster

This article aims to explore how the software development process and project management evolve when implementing AI tools. By examining these changes, project managers and stakeholders can better prepare to harness AI's benefits, ultimately driving more successful and efficient projects.
Custom Copilots for AI-Powered Development – From Code to Completion July 15, 2024

Custom Copilots for AI-Powered Development – From Code to Completion

How to Use AI to Accelerate Product Development Cycles July 8, 2024

How to Use AI to Accelerate Product Development Cycles

In today's fast-paced digital landscape, tech companies are under constant pressure to innovate, deliver new products, and meet ever-evolving customer expectations. Accelerated product development has emerged as a critical strategy to maintain a competitive edge. This article explores why tech companies benefit from accelerating their product development cycles and how to use generative AI in software development.
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