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Company

Xong AI

Xong AI brings together business analysis, data engineering, software and applied AI. We learn how organizations work and collaborate with their teams to build usable, maintainable systems.

Our team

The Xong AI team

01

Çağan Sezim

Xong AI
02

Berk Sezim

Xong AI
03

Hakan Oktay

Xong AI

How our team works

Our disciplines.

Our working model does not rely on a single discipline. Business needs, user experience and system behavior are considered together.

Business analysis & processes

Understanding operations, mapping dependencies and defining the right delivery scope.

Product & user experience

Designing information hierarchy, interfaces and decisions around the user’s work.

Data engineering

Structuring and connecting sources to make information reusable.

Applied AI

Considering model and agent behavior alongside data, tools, evaluation and human control.

Enterprise software

Turning business rules, data structures and integrations into maintainable applications.

Quality & operations

Testing in real use and making ownership of failures, maintenance, access and changes explicit.

Working culture

Working alongside
your organization’s team.

Domain specialists, users and technical teams are part of the process. We explain design decisions, make uncertainty visible and bring feedback into the application.

How do we collaborate?

Our project approach.

Understand the work

We examine operational steps, waiting points, repeated effort and cost drivers together. Business needs, not technology trends, determine priorities.

Design the whole

User experience, enterprise process software and data structures are not separate efforts. Decisions made in an interface need a corresponding record and workflow.

Build together

We bring domain expertise and engineering together. Ownership, review and recovery paths are defined for both automated and semi-automated operations.

Working together

Domain knowledge and engineering
at the same table.

We do not design around assumptions about an organization. Domain specialists, users and technical owners contribute within the same working framework.

01

Domain knowledge informs design

We learn exceptions and decision rationale with users. A project rests on how people actually work, not just a technical requirements list.

02

Decisions remain visible

We explain why an interface, data relationship or automation boundary was chosen. Uncertainty and development status are visible parts of delivery.

03

Operations are part of delivery

Errors, permissions, maintenance ownership and future changes are considered before use. Our aim is software that can be operated and maintained, not merely demonstrated.

Components and operating approach

How we work together.

Select a topic to explore the relationships between information, responsibility and delivery.

01

Our team

We bring business analysis, user experience and software development together. Organizational domain knowledge directly informs data and application design.

Çağan SezimXong AI
Berk SezimXong AI
Hakan OktayXong AI
02

Working with organizations

We align on the same definition of work with domain specialists, users and technical teams. Exceptions inform the scope before it is finalized.

01Our team
02Working with organizations
03Sustainable delivery
Connected area of work

Sustainable delivery

03

Sustainable delivery

Design decisions, data relationships and operating responsibility stay explicit. Maintenance and change paths are part of delivering an application.

01Our team
02Working with organizations
03Sustainable delivery
Connected area of work

Our team

An operating-model illustration, not live operations or measured performance results.

Work with us

Discuss your project with us.

Let’s assess your operations, data landscape and priorities together.

Start a conversation