Sawal AI

Overview

An AI platform for SMBs that consolidates voice agents, document-grounded chat, transcription, and social content workflows into one system. It targets the repetitive conversation and content work that consumes a disproportionate share of a small team's week.

The problem

Small teams lose their days to the same customer questions, the same lookups across scattered internal documents, and a permanent content backlog. Point tools each solved a slice and added another integration to maintain. What was needed was natural conversation handling, answers specific to that business rather than the internet, insight extracted from audio and video, and content generation that ran without supervision.

What we built

Voice AI agents

Multi-turn conversational agents that hold a thread without a rigid script, handling interruption and correction the way callers actually speak.

RAG chatbot

Document-grounded question answering over the business's own material, so answers are specific rather than plausible.

Transcription and summarisation

Automated audio and video processing that turns recordings into structured, searchable insight.

Social content generation

AI-drafted posts wired to the same knowledge base, so marketing output stays consistent with what the business actually does.

How we approached it

• Retrieval grounds every answer — the model does not speak for the business unprompted
• Voice agents are built for real speech, not for the happy path
• Automation means zero manual intervention, or it is not automation
• Everything integrates into production workflows rather than sitting beside them

Outcome

Production AI systems embedded directly in customer workflows, cutting time spent on repetitive conversation and materially increasing content velocity.