AI-native systems engineering
UKR.dev builds more than websites. We design business systems, digital products and web platforms where AI works with data, rules, integrations and people.
We connect CRM data, documents, knowledge bases and external services into a controlled foundation.
/ Positioning
We start with the process, users and data. Then we define where an interface is needed, where automation fits, where AI can support analysis or action, and where a person must approve the decision.
01 / Development directions
Each direction solves a different problem and has its own architecture. They can be delivered independently or combined into one digital ecosystem.
Solutions that work with company knowledge, documents and operations: AI agents, source-grounded search, copilots, classification, data extraction and controlled actions through APIs.
CRM, ERP modules, operations workspaces and internal platforms for complex processes. We design roles, statuses, document flows, analytics, integrations and a complete action history.
Web and mobile services, SaaS and specialized platforms. From validating product flows and UX to backend architecture, payments, subscriptions, analytics and a practical growth plan.
Portals, directories, knowledge bases and structured information platforms. We build in technical SEO, accessibility, performance, search and controlled scalability.
Web & Growth / Service layer
Dedicated services for launching and developing a digital presence, designed to connect naturally with products, platforms and business systems.
Corporate websites, landing pages, e-commerce, directories, multilingual and content resources with CMS, SEO foundations and integrations.
Technical SEO, search intent, information architecture, content, structured data and readiness for traditional and generative search.
Google Ads, Meta Ads, landing pages, tracking, CRM and AI-assisted lead operations as one measurable route from impression to outcome.
02 / Full use of AI
The first strengthens research, design, engineering and quality control. The second becomes part of the client's system. Both retain verification, logging and human accountability.
We structure requirements, scenarios, risks and information sources.
We compare options faster and validate prototype logic.
We strengthen work with code, tests, documentation and review.
We identify regressions, inconsistencies and weak points before launch.
Search and answers grounded in verified internal sources.
Documents, signals and data condensed into clear context.
Controlled agent actions through tools, rules and permissions.
Sequences across CRM, email, files and external APIs.
03 / System foundation
A strong digital product is defined less by its number of screens than by the consistency of its data, rules, integrations and controls.
Shared entities, relationships, statuses and information storage rules.
Each user sees and performs only what their role permits.
APIs, email, payments, CRM, analytics and external services operate in one flow.
Content and documents can be found by structure, meaning and query context.
Logs, metrics and signals show what happens in the system after launch.
The architecture supports new modules and scenarios without a chaotic rebuild of the entire product.
04 / Approach
We move in deliberate steps so the solution follows the real process instead of becoming a random list of features.
We define the business problem, users, data, constraints, risks and outcome criteria.
We design roles, scenarios, information architecture, integrations and AI boundaries.
We build in vertical slices where the interface, backend, data and checks work together.
We test primary and edge cases, security, performance, accessibility and the quality of AI responses.
We prepare deployment, observability, documentation and the next iterations based on real use.
05 / Responsible systems
Critical actions require confirmation or approval from an accountable person.
We define which data a model may receive, where it is stored and who can access it.
We log sources, decisions, actions and errors so results can be reviewed.
We evaluate AI against real scenarios and track quality after model or data changes.
Starting a project
You do not need a technical specification. Describe the problem, the people who work with it, the current tools and the outcome you need.
contact@ukr.dev