Euvic AI Catalyst: Faster Delivery, Fewer Surprises
An AI-powered SDLC for engineering leaders who need more output from the same headcount. AI Catalyst enforces a defined process from requirements through code generation, grounded in your standards and your stack, so your team ships faster without sacrificing quality.
The Reality Of Software Engineering
42% Of Engineering Time is wasted on maintenance, debugging, and rework.
80% Of Enterprise AI Projects never actually make it into production.
See It Before You Build It
AI Catalyst automates the tedious manual work and enforces strict process discipline from requirements to deployment
Structured Requirements
Analysts input business needs and the system clarifies ambiguities, fills gaps, and produces validated specs before anyone writes code.
Guided Solution Design
Architects define data models, integrations, and component structure. AI suggests patterns from your existing architecture to keep everything consistent.
Automated Code Generation
Backend, frontend, and test code are generated from the approved design, using your templates and coding standards.
AI Code Review
Every code change is reviewed for security, quality, and standards compliance automatically, before a human reviewer sees it.
Generation
Test cases are generated directly from requirements and code changes. QA teams review and refine rather than write from scratch.
Built On Your Standards
We build a shared knowledge base from your coding standards, templates, and architecture so every AI output fits your codebase.
What This Looks Like In Practice
70%+
of routine code generated automatically
25%
faster time-to-market for new features
35%
faster onboarding for new developers
25%
fewer critical bugs per release
One Process, Three Connected Stages
Every project flows through analysis, design, and development in sequence, so nothing reaches code without the thinking that should come first.
Analyze And Design
Business analysts and architects define what needs to be built. AI validates requirements, flags gaps, and suggests patterns from your existing architecture. The full picture is clear before a line of production code is written.
Requirements gathered and validated
Rapid prototyping and UI pattern selection
Architecture, data models, and integrations designed
Generate And Build
Backend, frontend, and database code generated from the approved design using your templates and standards. Developers start from working code, then focus on business logic. Works with VS Code, Cursor, and GitHub Copilot.
Code scaffolded from your own patterns
Developers refine in their existing IDE
AI code review on every pull request
Test And Ship
Test cases generated directly from requirements. QA reviews and refines rather than writing from scratch. Automated pipelines run security scans and quality checks continuously. Findings feed back to improve future outputs.
Tests generated from specs, not written manually
Automated pipelines on every commit
Continuous feedback loop improves output over time
Proof In Action
Real outcomes from complex AI and digital transformation engagements.
Engineering Team Transformation With Coding Agents
A maritime technology company engaged us for a full Al engineering consultation. We embedded a senior consultant with their team to integrate LLM-assisted coding, automated testing, intelligent code reviews, and agent-augmented CI/CD pipelines across their entire development process.
Business Impact
Smaller Teams, Same Output
Al-assisted coding and automated review maintained the same feature velocity with leaner teams, directly reducing headcount cost per release
Higher Quality, Lower Rework
45% fewer production defects means less time spent on hotfixes and regression, freeing engineering capacity for new features
Faster Time to Market
35% shorter lead time to production. Features that previously took weeks to ship now reach customers significantly sooner
Results
35%
Shorter lead time to
production
45%
Fewer production defects
80%
Of routine code generated
Why Build This With Us
Your People Stay In Control
AI handles the repetitive work. Your engineers stay in control of every decision. The process accelerates your team without replacing their judgment.
Customized To Your Stack
We build the knowledge base around your specific technologies, standards, and architecture. The result is AI output that fits your codebase, not a generic template.
One Team, Strategy Through Code
The people who design the process also build and deploy it. No handoff between consultants and engineers. When you need to scale, we pull from a 6,300-person engineering group.
Everything Included In A AI Catalyst Deployment
We set up the SDLC, build your knowledge base, integrate it with your existing tools, and train your teams. Here's exactly what that includes.
Platform
Full AI Catalyst Deployment
The SDLC deployed in your environment, configured for your workflow, security requirements, and existing toolchain.
Custom Knowledge Base
Your coding standards, architectural patterns, and templates organized so every AI output matches your codebase. Maintained and updated as your stack evolves.
Services
Process Design Workshop
We work with your team leads to design the workflow Catalyst enforces, from analysis through code review.
Role-Specific Training
Hands-on training for analysts, architects, developers, and QA so every team member is productive from day one.
See What AI Catalyst Can Do For Your Team
Walk us through your current process. We'll show you exactly where Catalyst fits and what results to expect.
