AI-Assisted Engineering

Focus on creativity and innovation while your AI copilot does the rest

Faster, better software development based on your context 

Wish you had an extra pair of hands for that routine but necessary work? We know the feeling.
Copilots are quickly becoming an integral part of software development, so the question is not whether to use one but rather which you should choose.

At Intellias, we are obsessed with productivity – in our organization as a whole and our development process in particular. Which is why after testing existing copilots – and confirming that they yield positive results – we developed our own IntelliCopilot. Same capabilities, at a fraction of the cost.

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How your engineering team can benefit from AI copilots 

Discovery phase efficiency icon

Discovery phase efficiency

From research and analysis to ideation and cost estimates, your AI copilot helps with the groundwork before you begin to code.

  • Requirement analysis
  • Legacy code assessment
Higher team velocity icon

Higher team velocity

Delegate routine tasks to your AI copilot while you focus on the creative aspects.

  • Automation of repetitive tasks
  • Test preparation
  • Documentation
Improved quality icon

Improved quality

The AI copilot will autocomplete your code and help you find what you’re looking for within seconds.

  • Code autocompletion
  • Feedback analysis
  • Real-time developer support

Your AI engineering journey with us 

For Intellias, AI-assisted development is more than the hype of today. It is an innovative practice that we have thoroughly researched, tried, and tested, collecting feedback from experts in different fields. The increase in productivity has been so impressive that AI-assisted development is now standard engineering practice within our organization.

Intellias AI engineering productivity experience at a glance

We’ve tested prominent commercially available copilots in a variety of industries and for various tasks.

Retail icon

Retail

High-tech icon

High-tech

Finance icon

Finance

Insurance icon

Insurance

Travel icon

Travel

Healthcare icon

Healthcare

Developing new functionality icon

Developing new
functionality

Refactoring code icon

Refactoring code

Verifying code quality icon

Verifying code quality

Analyzing legacy code  icon

Analyzing legacy code

Our AI engineering productivity program results 

Implementing an AI copilot allowed us to automate routine
tasks and increase productivity and efficiency.

 

What result did we get?

Most important projects & opinion-based pilot insights

15-20%

Average productivity improvements

100%

Faster legacy code analytics

25%

Faster coding

40%

Faster completing repetitive tasks

Most valuable co-pilot usage

Faster code creation with code autocoplete
Code quality improvements & faster refactoring
Effective search for coding practices, SDKs & libraries
Understanding of the context for new project’s code
Legacy code explaining and rewriting
Significantly faster tests creation with less efforts

Introducing IntelliCopilot:
Our AI-powered coding assistant 

Inspired by our experience using AI copilot solutions and driven by the desire to create a more cost-efficient, flexible, and secure AI-powered development assistant, we built our proprietary IntelliCopilot, designed to transform development processes and enable rapid development cycles. In other words, it helps you deliver higher IT value while tackling the most challenging requirements.

Cost efficiency 

Compared to GitHub Copilot Business, IntelliCopilot offers the same capabilities and is almost 16 times more cost-efficient. IntelliCopilot uses a token-based pricing model, ensuring flexibility and cost-effectiveness for engineering teams.

Seamless IDE integration 

IntelliCopilot can be directly embedded in the most popular IDEs – Visual Studio, Visual Studio Code, and IntelliJ IDEA – creating an intuitive developer workspace with AI-powered functions.

Contextual assistance 

Depending on the task at hand, engineers can use IntelliCopilot to ask questions, search for information, and autogenerate text or refactor code based on file contents.

Data privacy and security 

We leverage the security mechanisms of Microsoft Azure, making sure that no personal data is used for model training and guaranteeing maximum data privacy.

Model-agnostic design 

IntelliCopilot supports integrations with AI models by multiple vendors, including Anthropic, Ollama, and Mistral. These integrations enhance IntelliCopilot’s capabilities and ensure it can adapt to the latest innovations.

Effective integration with the workflow 

Integrating IntelliCopilot directly into your existing systems requires minimal configuration. Effective developer workflows are available immediately.

Custom optimization 

IntelliCopilot can be tailored to the unique needs of your organization’s projects and teams and optimized for the tools, environments and practices within your organization.

IntelliCopilot at every stage of your SDLC 

IntelliCopilot caters to developers, QA engineers, business analysts, and a multitude of other roles across the software development life cycle: business analysis, code creation, quality assurance, and more. It’s your process – you decide.

Requirement analysis Use AI to gather and analyze project requirements, identify gaps, and even run sentiment analysis to ensure a strong project launch. Design Let AI fuse technologies, legacy code, and integrations to help you with architecture planning and initial code structure. Development Use IntelliCopilot as your real-time assistant that generates code, detects errors, and searches for the information you need. Testing Assign tasks to your chatbot that include test case creation, CI/CD pipeline integration, and feedback analysis. Deployment Leverage AI automation to run deployment pipelines, configure environments, and continuously monitor to ensure successful deployment. Operations Use NLP capabilities to analyze user feedback and enable automated issue resolution. 

IntelliCopilot Security 

IntelliCopilot has successfully undergone an in-depth security assessment that adhered to industry-recognized penetration testing methodologies, including the OWASP Testing Guide, PTES, NIST SP 800-115, and the MITRE ATT&CK Framework.

Security Assessment& Secure Configuration Risk Assessment Security Testing& Code Review Threat Modeling& Design Review Static Analysis
Next-level pair programming with an AI-powered assistant

Client testimonial 

Charles Webb
Technology Transformation Leader at DD Group 
Dirk Van Derstappen
IT Project Manager at Bluecode 
Our clients’ success stories: AI-assisted development

AI-accelerated delivery of an eLearning platform

Armed with an AI copilot, we enhanced the legacy platform into a full-scale SaaS eLearning portal that supports curated training paths, highly personalized recommendations, and custom content.

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Our clients’ success stories: AI-assisted development

Healthcare benefits management platform built using AI

Intellias delivered a unified cloud-based platform for processing healthcare insurance claims, creating easy journeys for both employees and administrators. Using an AI copilot allowed our team to significantly shorten the project duration while maintaining the same high code quality.

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Our experts 

Denys Babych image

Denys Babych

Senior Delivery Manager, AI Engineering Program Leader

With 15+ years of experience in IT and software development, Denys is the leader of the AI Engineering program at Intellias, where he shapes and advances the strategic direction of AI initiatives. He is also a co-author of the AI Engineering Productivity Cookbook, a practical guide to harnessing AI for development efficiency.

As an ICAgile-certified agile facilitator, Denys has successfully delivered more than 20 projects in multiple industries. He holds certificates in Machine Learning Foundations and Machine Learning Project Management, and he consistently applies his expertise in AI and software engineering to create efficient data-driven development environments.

Illia Diachenko image

Illia Diachenko

Head of the Front-End Center of Excellence

Illia has over a decade of experience in software engineering, team leadership, and consulting. With a focus on operational excellence and improving the efficiency of company processes, he leads a team of experts in competency management, talent assessment, and presales support.

As an AI adoption enthusiast, Illia actively contributes to advancing AI integration within Intellias, promoting the use of AI in software development. Committed to helping engineering teams optimize workflows, he led the creation of IntelliCopilot, a productivity-enhancing AI-powered development assistant, and co-authored the “AI Engineering Productivity Cookbook.”

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