Automate and Innovate Your Work with Generative AI
— Validate First with PoC
We propose PoC to quickly verify the performance and applicability of ScatterX solutions in real enterprise and public sector work environments.
Scenario-based validation is available for Agent, AI DLP, RAG, NLQ, and more.
PoC Target
We propose PoC for the following organizations
Organizations Needing Automation
Enterprises and public institutions that need workflow automation and business innovation
Organizations Needing Validation
Organizations that want to validate security, quality, and efficiency before adopting generative AI
Teams Needing Real-world Scenarios
Teams with many business requirements that need scenario-based validation for real-world use
PoC Types
We conduct PoC in four key areas
Agent PoC
Repetitive task automation, approval/reporting workflow automation, operational process automation
Example: Inquiry classification → Draft response → Ticket creation/assignment → Result report
AI DLP PoC
Generative AI Security/Leak Prevention
Sensitive data detection/masking, policy-based blocking/allowing, audit logs/tracking
Example: Validate response policies for PII and confidential data detection in prompts/responses
RAG PoC
Accurate answers based on internal documents/regulations/manuals, with evidence and sources
Example: Regulation Q&A, technical manual Q&A, public institution inquiry/regulation search enhancement
NLQ PoC
Natural Language Query
Natural language data queries, automatic metric/status lookup, automatic report generation
Example: "Show me the top 10 processing times by department last month" → Automatic query/summary/visualization
PoC Process
PoC is conducted in three steps
Pre-definition
Agree on requirements/metrics/data scope
Confirm objectives, success criteria (KPIs), data access scope, and security requirements
Implementation/Integration
Scenario-focused prototype construction
Configure model/policy/search/permissions/logs + workflow integration
Validation/Results Sharing
Evaluate performance, quality, security, and operability
Quantitative/qualitative evaluation + improvement proposals/expansion roadmap
PoC Deliverables
The following deliverables are provided upon PoC completion
Start Validation with PoC
Just tell us your business scenarios and data characteristics, and we'll design the fastest validation approach.