SYLENT
AI & Automation

Custom AI Assistants

AI-powered assistants built on your data for customer support, internal ops and knowledge access.

Overview

We build AI assistants that actually know your business. Not generic chatbots that hallucinate answers, but systems grounded in your documentation, your processes and your data. When a customer asks a question, the assistant pulls from verified sources and provides accurate, contextual responses.

These are practical tools, not science projects. Every assistant we build has measurable success criteria: tickets deflected, response time reduced, information access improved. If the AI cannot demonstrably outperform a well-organized FAQ, we will tell you that.

Technical Details

Retrieval-Augmented Generation

RAG pipelines that ground AI responses in your actual documentation and data. Vector databases for semantic search across knowledge bases. Chunking and embedding strategies optimized for your content type. Source attribution so users can verify every answer against the original document.

Conversation Design

Multi-turn conversation handling with context retention. Graceful fallback to human agents when confidence is low. Conversation analytics to identify gaps in the knowledge base. Guardrails that prevent the assistant from making claims outside its training data.

Integration

Deployment as a widget on your website, in your mobile app or inside internal tools. Integration with helpdesk platforms like Zendesk, Intercom or Freshdesk. Slack and Teams integration for internal knowledge assistants. API access for embedding AI capabilities into custom workflows.

Evaluation and Improvement

Automated evaluation pipelines that test response quality against curated question-answer pairs. User feedback collection for continuous improvement. A/B testing between model configurations and prompt strategies. Regular knowledge base refresh cycles to keep responses current.

Tech Stack

LangChainOpenAIClaudePineconeWeaviatePythonFastAPIRedisPostgreSQL

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