AX Consulting & Build
We analyze your business environment and work processes, then apply AI to day-to-day operations.
We work in stages, from AI readiness assessment and opportunity discovery to PoC validation, build and organizational adoption, supporting automation, efficiency and data-driven decisions.
Overview
Using AI to change how work gets done
AX (AI Transformation) embeds AI across work processes, decision-making and customer experience, changing the way a company works.
If digital transformation (DX) moved work into systems, AX is the stage where accumulated data and business knowledge let AI take over repetitive work and strengthen human judgment. Drawing on field experience from commerce, messaging and SI projects, Skyware assesses your business environment and work processes, validates quickly where AI can deliver results, and then scales across the organization.
AI Readiness Assessment6 areas
We assess the company from multiple angles to find where AI can deliver real results.
- 01 Data: Quality · Storage · Usability
- 02 Infrastructure: Systems · Security · Integration
- 03 Talent: AI literacy · Execution capability
- 04 Governance: Policy · Permissions · Risk
- 05 Work processes: Automation · Standardization potential
- 06 Culture: Acceptance · Collaboration · Change management
- STEP 1AI readiness assessmentAnalysis of data, infrastructure, talent, governance, work processes and culture
- STEP 2Use case selection and roadmapAI use cases are selected by expected impact and difficulty, with a phased execution plan.
- STEP 3From quick wins to company-wide scaleA phased transformation from pilot validation to scale-out to AI-native operations.
Service Scope
Six things AX needs, from assessment to adoption
Consulting and build are not separated: one team carries the work through.
- AI readiness assessment
We assess data quality and accessibility, infrastructure, talent, governance and security, work processes and culture to identify capability gaps, constraints and risks.
- Opportunity discovery & prioritization
We analyze work and data flows to find AI candidates, prioritize them by expected impact, difficulty and risk, and build a phased roadmap.
- PoC & pilot validation
High-priority use cases are built as working pilots and validated against KPIs, while data and security readiness are checked alongside.
- Build & system integration
Generative AI, AI agents and predictive models are integrated with core, commerce and messaging systems so they live inside real workflows.
- Data & AI governance
We set up data standards and quality management, access control, responsible-AI criteria (security, privacy, explainability) and monitoring.
- Scale-out & adoption
Hands-on workshops with business users, training, an operating model and performance measurement make AI a management tool the business keeps using.
AX Services
Assessment & Strategy
- AI Readiness AssessmentSix areas incl. data, infrastructure and people
- AX Consulting · Roadmap
- Data & AI Governance
Use Cases & PoC
- Work Analysis · Requirements
- AI Use-case Discovery · Prioritization
- PoC Validation · Results Report
Scale-out & Adoption
- Scale-out Build
- Organizational Adoption · Operations Guide
- AI Training for Staff
Security & Deployment
- Deployment OptionsOn-premises · network-separated · private cloud · SaaS
- PII Masking · No Training on Your Data
- Access Logs · Permissions
Application Areas
Six areas where AI delivers in daily work
From customer touchpoints to the back office, management decisions, and development and IT operations.
- 01Customer service
An AI service agent answers inquiries first and suggests tailored replies to human agents. The CX shopping agent handles tasks such as order cancellation and option changes in conversation.
AICC · CX shopping agent Cura AI - 02Back-office automation
Repetitive office work such as documents, contracts, settlements and reports is automated with generative AI and AI agents to cut processing time.
Document processing · Reports · Settlement - 03Marketing & commerce
Customer data is segmented for personalized recommendations, product descriptions and promotional copy are generated, and demand is forecast from sales and inventory data.
AI Personalization Platform · Demand forecasting - 04Operations & field
Sensor, log and operational data are used to detect anomalies early and automate inspection, alerts and reporting.
IoT monitoring · Alert automation - 05Management decisions
Scattered data is brought together into metrics, dashboards and predictive simulations that give decisions a solid, data-driven basis.
Dashboards · Forecasting · Simulation - 06Development & IT operations
AI assistance in requirements analysis, design, code drafting, review, testing and operations reporting raises build speed and deliverable quality.
AI-driven SDLC(Software Development Life Cycle)
By industry
- Finance
- Summarize consultations and review documents
- First-line answers on terms and products
- Classify unusual transactions and complaints
- Public sector
- Answer civil requests and route to departments
- Draft official letters and reports
- Search rules and guidelines
- Manufacturing
- Purchase requests and quote comparison
- Analyze quality inspection records
- Alerts on equipment anomalies
- Retail & commerce
- Automated customer service
- Personalized product recommendations
- Sales and stock demand forecasting
Security & deployment
AI built to your security requirements
Combine deployment, AI model and data protection to fit your security standards.
- Deployment: on-premise, separated network, private cloud, SaaS
- AI model: model of your choice, commercial API models, self-hosted open-source models
- Data protection: not used for model training, personal data masking, access logs and permissions, stored only in your environment
- We combine all three to fit your standards.
- On-premise & air-gapped
Install on your servers or in a separated (air-gapped) network and run without an internet connection.
- Choice of LLM (local · sLLM)
Pick the model for your security level and work: Korean LLMs, lightweight sLLMs, commercial APIs or self-hosted open-source models.
- No training on your data
Conversation and document data is never used for model training and stays inside your environment.
- Personal data masking
Resident numbers, phone and account numbers are masked automatically on input and in responses.
- Audit logs & access control
Queries, answers and admin actions are logged, and access is split by role for audits.
- Hallucination control
Answers are grounded in your documents (RAG) with sources shown. When no source is found, it does not guess and connects the user straight to a human agent.
Process
How an AX project runs
Five stages from assessment to adoption: validate small, scale wide.
Assess
Analyze AI readiness, the business environment and work processes.
Define
Set priorities, expected results and the roadmap for the use cases.
PoC Validation
Build a pilot and confirm the results against KPIs.
Scale-out Build
Integrate with systems, put governance in place and roll out company-wide.
Adopt
Training, operations and performance measurement make it stick and keep improving it.
Deliverables
Consulting deliverables
We hand over deliverables you can act on right away.
- Work analysis reportWhich tasks take the most time and where delays occur.
- AI use case listWhich tasks to apply AI to first, with expected results and priorities.
- PoC results reportWhat the pilot actually delivered, with performance metrics.
- Data and security reviewWhat needs to be fixed in data and security before rollout.
- Execution roadmapA phased schedule with the investment and staffing required.
- Operations guideHow to run and monitor the AI after rollout.
AI VoucherSkyware is a selected supplier for Korea’s AI Voucher Program, so we can also guide you through adoption options linked to government support.
Let’s talk about your AX transformation
Tell us one repetitive task you want to automate, and we’ll propose the agent and workflow to apply first.