Best for high-frequency, standardizable, content-heavy workflows where sensitive data must stay on-prem and access must be auditable—especially when you want to turn documents/knowledge into usable answers, processes, and reports.
Six high-frequency scenarios (presentation version)
- AI customer service: Precise answers, 24/7 automation; often 70–80% of common questions can be resolved automatically; fast go-live via 1‑Line Script, No Site Changes.
- AI hiring decisions (HR): Import job postings and resumes for “requirements × resume × salary” analysis; surface risks, map interview scoring to salary PR ranges, and generate compensation suggestions with decision summaries.
- AI legal assistant (litigation): After uploading case files, it organizes case law/points/elements; supports similar-case comparison tables and draft + risk checklist generation so lawyers can focus on final judgment.
- AI credit review / underwriting: Multisource cross-analysis and early warnings; combine financial statements and transaction context so risks surface early and decisions become consistent.
- AI enablement (existing systems): No rebuild; connect AI to existing systems by importing specs/SOP/permission tables, then execute tasks with natural language—on-prem and secure.
- AI ERP assistant (ERP AI): Import ERP module docs/SOP/specs; AI understands module/form/field relationships so users can ask in natural language and get reports—no system change, no consultant dependency.
It also fits finance analysis and risk review (“financial statements become accurate, traceable, and usable”), internal policy/SOP lookup, audit/compliance, and cross-team knowledge transfer.