Solution

AX Service
Build

We build AX services from the AI platform and data the enterprise already owns.If no platform exists, we start with adoption consulting and define an executable structure.
Enterprise data, AI platform, and AX services connected as one delivery structure

Overview

Turn AI platforms and enterprise data into working services

AX service delivery is more than adding an AI feature.Data readiness, workflow fit, security, and operating standards must be aligned before the service can be used in daily work.

Overview

From consulting to AX service implementation

We diagnose the current environment and target workflows, then define consulting scope, build priorities, and validation criteria.

AI Platform

Use existing platforms

Extend the current model, security, and integration structure into AX services.

Adoption

Platform adoption consulting

Prioritize adoption by business goal, security, data, and operating responsibility.

Enterprise Data

Use owned data

Turn internal documents and system data into search, answer, and automation value.

Build Approach

Build from the platform and data the enterprise already owns

Each company has different data structures, security requirements, and operating teams.

Review model choices, security policies, and data connections in the existing platform as service design criteria

If no platform exists, set adoption scope and priority from business goals, data sensitivity, and operating ownership

Prepare internal documents, business systems, and operational logs for answer, search, and automation workflows

Execute service planning, data preparation, RAG or agent architecture, permissions, logs, and operating standards as one delivery flow

Platform Strategy

If there is no platform, start with the adoption strategy

Companies without an AI platform should narrow the options by goal, data, security, and operating responsibility before implementation.

Check data sources, access rights, workflow processes, and user groups before adoption

Compare model options, retrieval structures, security policies, permissions, and log standards against the operating environment

Validate through a small pilot, then stage the feature scope and ownership for department expansion

Include quality metrics, feedback cycles, and incident response criteria so improvement continues after PoC

If you are reviewing AX service build options, we can clarify feasibility from your current platform, data, and workflow context.

Design AX servicesfrom enterprise data.

Synetics_

We design AI service validation and AI-powered quality execution together.

Contact

Suite 806, 33 Dongbaek 3-ro 11beon-gil, Giheung-gu, Yongin-si, Gyeonggi-do, Korea

Email

qa [at] synetics.kr

Phone

010-****-9058

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