AI Automation

AskTiz Internal AI Knowledge Assistant for Slack

Ask plain-language questions about company history and decisions, and get streamed, citation-backed answers pulled from Slack.

AskTiz – Internal AI Knowledge Assistant for Slack case study
AI Automation
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Product Overview

AskTiz turns an organization's Slack workspace into a searchable knowledge base, continuously indexing conversations and letting employees ask plain-language questions about company history, technical decisions, and documentation instead of scrolling back through old threads.

Under the hood it combines hybrid search (full-text plus vector similarity), AI reranking, and retrieval-augmented generation, then streams Claude-generated answers with inline citations linking straight back to the original Slack messages, so answers stay traceable to their source.

Tech stack
  • TypeScript
  • Python
  • Next.js
  • PostgreSQL
  • Claude AI
  • Slack
  • Fastify
  • Supabase
  • pgvector
  • pgmq
  • Row-Level Security
  • Voyage AI
  • Cohere
  • Server-Sent Events (SSE)

What we delivered

  • Real-time Slack ingestion pipelines using the Slack Events API and an asynchronous processing queue.

  • A hybrid retrieval architecture combining PostgreSQL full-text search, pgvector semantic search, and AI reranking.

  • A retrieval-augmented generation pipeline with query rewriting and citation-aware Claude-generated responses.

  • Streaming AI responses via server-sent events with inline source citations.

  • A Next.js chat interface backed by a secure, backend-first Fastify API with row-level security on Slack data.

Key Insights

  • Turned scattered Slack history into a searchable institutional memory employees can query in plain language instead of scrolling old threads.

  • Inline citations kept every AI answer traceable back to its original Slack message, building trust in the assistant's responses.

  • Streaming, citation-backed answers made the assistant feel conversational rather than a blunt search form.

  • Row-level security ensured employees only ever surfaced knowledge from Slack channels they were already authorized to see.

Client Success Stories

Hear from Businesses

Client Success Stories

Our experience with Techtiz is great. They help us to increase our revenue with their expertise and support services. Always recommend them to others.

LinkedGolf

Challenges

Our experience with Techtiz is great. They help us to increase our revenue with their expertise and support services.

Solutions

Our experience with Techtiz is great. They help us to increase our revenue with their expertise and support services.

Matt Quattrani

Matt Quattrani

Founder & CEO

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Dashboard.Earth is a mobile app that empowers individuals to actively engage in climate resilience by translating complex environmental goals into local, actionable steps.

Dashboard.Earth

Challenges

Our experience with Techtiz is great. They help us to increase our revenue with their expertise and support services.

Solutions

Our experience with Techtiz is great. They help us to increase our revenue with their expertise and support services.

Joris Gunawardena

Joris Gunawardena

Co-founder Dashboard Earth

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