AI SOLUTION

Dedicated AI AgentsDedicated AI agents

AI that knows your business — not generic chat

Personalized agents trained on your documents, databases, and workflows — embedded on websites and internal tools to automate support, operations, and daily decisions.

RAG indexing Web embed Workflow automation
Dedicated AI agents
RAGGrounded answers
EmbedAny website or app
PrivateYour data boundary
ActionsBeyond Q&A
ProductDedicated AI Agents
CategoryAI / Automation
StackLLM · RAG · Vector DB
DeploymentPrivate · Embeddable
OVERVIEW

Why generic chatbots fall short

Stop answering the same questions manually. Dedicated agents ingest your knowledge base, connect to your systems, and deliver accurate, context-aware responses — on your site, in Slack, or inside your apps.

Off-the-shelf bots hallucinate on company-specific questions
Support teams copy-paste from outdated PDFs and wikis
Internal knowledge is siloed across Drive, Notion, and email
No automation path from answer → action (ticket, order, report)
CAPABILITIES

What you get

RAG knowledge indexing

Ingest PDFs, web pages, product docs, and database exports into a vector index — answers grounded in your source material.

Embeddable widgets

Drop-in chat widgets for marketing sites, customer portals, and internal dashboards — styled to match your brand.

Workflow actions

Agents that don't just answer — they trigger lookups, create tickets, route requests, and call your APIs.

Private deployment

Run models and indexes on infrastructure you control — sensitive data stays within your security boundary.

Role-aware responses

Different knowledge scopes for customers vs staff — same agent platform, appropriate access per audience.

Analytics & improvement

Conversation logs, unresolved query tracking, and feedback loops to continuously improve accuracy.

Knowledge & accuracy

  • Document ingestion (PDF, DOCX, HTML, CSV)
  • Scheduled re-indexing when content changes
  • Citation-style answers with source references
  • Fallback to human handoff when confidence is low

Deployment surfaces

  • Website embed widgets
  • Internal team portals
  • API endpoints for custom UIs
  • Integration with CRM and ticketing tools

Automation layer

  • Tool calling for database lookups
  • Webhook triggers for downstream systems
  • Multi-step agent workflows
  • Guardrails and content filtering
BUILT FOR

Who uses Dedicated AI Agents

  • SaaS companies with support load
  • Professional services firms
  • E-commerce with product Q&A
  • Internal IT and ops teams

Agents deployed on CodeNeutronAI infrastructure or your VPC — with optional local LLM (Ollama) for air-gapped environments.

INTEGRATIONS

Connects with your stack

OpenAI / Claude APIsVector databasesREST APIsCRM & helpdesk tools

Technology

LLMRAGVector DBPythonFastAPIEmbeds
FAQ

Common questions

How is this different from ChatGPT on our website?

Dedicated agents are indexed on your specific documents and connected to your systems — they answer from your knowledge, with guardrails and handoff rules you define.

What models do you use?

We work with leading LLM providers (GPT-4, Claude) and can deploy local models via Ollama where privacy or cost requires it.

Can agents perform actions, not just chat?

Yes. Tool-calling and webhook integrations let agents look up orders, create tickets, route leads, and trigger automations — scoped by permissions.

Put AI to work on your data

We'll scope a pilot agent on your docs and workflows — typically live within weeks, not months.

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