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AI-Enabled Product Engineering Services.Built for Scale, Speed, and Trust.AI-Enabled Product Engineering Services.Built for Scale, Speed, and Trust.
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What Is AI-Enabled Product Engineering?
Alexey Girzhadovich
Chief Enterprise AI and Solutions Officer
Section title
AI-enabled product engineering is the practice of designing, building, and scaling software products with AI in two places at once. Inside the product, AI powers features such as automated review, recommendations, and natural language interfaces. Inside the delivery process, AI coding and testing tools shorten release cycles. At Exadel, engineers stay accountable for every technical decision, so speed never comes at the cost of quality.
Your AI Partner
Product Engineering Services That Turn AI Ideas into Production-Ready Products
Exadel's product engineering services help enterprises turn AI ideas into production-ready products. Our teams combine product thinking, applied data science, and enterprise-grade engineering to build software that learns, adapts, and scales with your business, from the first prototype through launch and beyond.
A product mindset meets AI discipline.
"We don’t treat AI as an experiment—we treat it as engineering. Each engagement unites strategy, design, and delivery from day one, so clients see real progress early and often."
Collaborative inception
Designers, engineers, and data scientists build together—accelerating delivery and reducing rework.
Frameworks that Drive Speed
Reusable accelerators, testing automation, and Smart Library components shorten release cycles while ensuring enterprise-grade quality.
Continuous Validation
Automated testing and MLOps pipelines keep every iteration consistent, secure, and ready to scale.
How Our AI Product Development Services Work
Discovery and Product Framing
AI MVP Development
Production Engineering and Launch
Scale and Continuous Improvement
We helped our customers deploy a personality-driven AI Persona designed to simulate a demanding client.
AI-Native Product Team
Exadel
Why Exadel for AI-Enabled Product Engineering
Get In TouchWe have engineered software for enterprises since 1998 and built AI into products long before it became a trend. Today we pair that engineering depth with modern ML and data expertise.
End-to-End Ownership
From product model design all the way through to secure launch optimization.
Engineering at Global Scale
Over 3,000 specialists operating across more than 30 countries.
Trusted Partnerships
AWS Advanced Tier Services Partner, Microsoft Azure Solutions Partner, OpenAI Select Partner, Cursor Transformation Partner, and Claude Partner Network member. See our partnerships.
Accelerators That Move Faster
Reusable frameworks, Smart Library components, and Exadel Colleague, our AI software development platform, shorten the path from R&D to MVP.
Product Engineering Results in Practice
DoSomething: From 10 Days to Minutes With AI-Powered Review
Everpure: AI-Assisted Engineering on the Enterprise Web
Frequently Asked Questions About Product Engineering Services
What are product engineering services?
Product engineering services cover the full work of turning a product idea into software people use: discovery, product and UX design, architecture, development, testing, launch, and ongoing improvement. At Exadel, our product engineering services add AI to that lifecycle, both as features inside the product and as tooling that speeds up how we build it.
What is AI-enabled product engineering?
AI-enabled product engineering is the practice of designing, building, and scaling software products with AI in two places: inside the product, as features such as automated review, recommendations, or natural language interfaces, and inside the delivery process, where AI coding and testing tools shorten release cycles. Engineers stay accountable for every technical decision.
How is AI-enabled product engineering different from AI engineering?
AI-enabled product engineering focuses on the product: what users see, the features AI powers, and how fast the product reaches the market. AI engineering focuses on the systems underneath, such as model pipelines, MLOps, and integration with enterprise data. Many clients use both, and our AI engineering services team works alongside our product teams when a product needs custom models.
How long does it take to build an AI MVP?
It depends on scope, data readiness, and integrations, so we agree on the timeline in the proposal rather than quote a generic number. Our aim is to move teams from the "how" to delivery within a quarter. Reusable accelerators, Smart Library components, and AI-assisted development are what make that pace realistic without cutting quality.
Can you add AI to an existing product, or only build new ones?
Both. Many of our engagements start with an existing platform. For DoSomething, we first rebuilt the web application and then embedded AI to automate volunteer submission review, cutting the review window from 10 days to minutes for more than 20,000 submissions a year.
How do you use AI in your own engineering process?
Our engineers use AI coding and testing tools across the lifecycle, with human review on every change. For Everpure, the team runs an AEM Cloud migration and a design system build with Claude and estimates 25 to 50 percent less development time per component. We are a Cursor Transformation Partner and a member of the Claude Partner Network.
How do you keep AI features secure and reliable in production?
We treat AI features like any other production code. Automated testing and model evaluation run on every iteration, security and data protection are designed in from the start, and governance covers how models are used and monitored after launch. That is how we keep AI features accurate, compliant, and ready to scale.
Which industries do you build AI-enabled products for?
We build AI-enabled products for software and technology, financial services, healthcare and pharma, retail and CPG, communication and media, travel and transport, and private equity portfolio companies. Each industry brings its own compliance, data, and scale requirements, and our teams bring domain experience to match.
