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KYVORASYSTEMS
Autonomous AI Agents

Axiom Cognitive Support & Triage Agent

Tool-augmented agent architecture that searches private knowledge bases and drafts verified customer solutions.

Knowledge Source
Private Vector DB
Safety Boundary
Human-in-the-Loop
Verification Status
Architecture Prototype
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The Operational Challenge

Technical B2B support desks receive hundreds of tickets requiring repetitive searches through 50+ pages of internal product documentation, API changelogs, and past resolved tickets. Support engineers spend 70% of their time finding references rather than solving complex issues.

Architectural Solution

We engineered a cognitive support agent prototype built on vector semantic search and tool-augmented reasoning. The agent parses incoming bug reports, queries validated technical documentation, and generates complete draft replies with exact citations for human engineer sign-off.

System Execution Flow

STEP 01
Multi-Source Knowledge Ingestion

Technical documentation, Markdown files, and resolved ticket archives are vectorized into high-dimensional semantic embeddings.

STEP 02
Reasoning & Citation Retrieval

The agent breaks down multi-part user questions, queries relevant documentation chunks, and generates a structured root-cause hypothesis.

STEP 03
Human Supervision & Resolution Draft

A verified response draft is presented to a support engineer inside the help desk with one-click approval, eliminating hallucination risks.

Technology Stack

TypeScriptVector Search (RAG)LangGraphNext.js 14Tailwind CSS