AI Concepts, Products & Business Impact
Understand the AI technologies reshaping software businesses — and see the real products Thiravugal builds using them.
The Transformation
How AI Shifts a Software Business
From slow, manual processes to intelligent, automated workflows — in 4 structured phases.
Discover
Map your costliest, most repetitive workflows
Design
Choose the right AI — chatbot, agent, RAG, or voice
Build
Thiravugal engineers your solution in 2–6 weeks
Deploy
Go live, measure impact, and improve continuously
Live Demo
The AI Transformation Journey
Watch how a software business transforms — from audit to live production
🔎 Discover
Map your costliest, most repetitive workflows
What We Build
AI Products for Software Companies
Ready-to-deploy AI solutions built for small-to-medium software businesses. We consult, build, and hand over — end to end.
Technology Deep-Dive
AI Concepts
Large Language Model (LLM)
The brain behind modern AI
A retail bank uses an LLM to auto-draft personalised loan rejection letters — cutting document time from 30 min to 30 seconds.
Generative AI
Create content, code & media at scale
An e-commerce platform auto-generates 500 SEO-ready product descriptions overnight — no copywriter needed.
Natural Language Processing
Machines that understand human language
A logistics company analyses 10,000 customer emails daily to automatically tag complaints, urgency level, and order IDs.
Prompt Engineering
Craft inputs that unlock AI's full potential
A legal firm uses prompt templates to extract contract clauses with 95% accuracy — replacing 4 hours of paralegal work per contract.
Retrieval-Augmented Generation (RAG)
Ground AI answers in your own data
A hospital builds a policy chatbot that answers HR queries by retrieving from 800-page HR manuals — zero hallucinations.
Recommendation System
Personalise every user interaction
An EdTech platform shows each learner the next best course based on their skills, goals, and peer patterns — 3× more course completions.
AI Agents
Autonomous systems that plan & act
A property firm deploys an AI agent that qualifies leads, schedules site visits, and sends follow-up emails — 24/7, no human needed.
Coding Agents
AI that writes, reviews & fixes code
A SaaS startup uses a coding agent to auto-fix failing tests on every pull request — reducing QA review cycles by 60%.
Multi-modal Agents
See, hear, and read — all at once
An insurance company's AI agent reads claim forms, inspects damage photos, and transcribes voice notes to auto-settle 70% of minor claims.
Model Context Protocol (MCP)
Give AI access to any tool or data source
A CRM platform connects its AI assistant to calendar, email, and database via MCP — the assistant reschedules, emails, and updates records in one step.
Skills (Tool Use)
Plug-in superpowers for your AI
A financial AI agent uses skills to run live stock queries, calculate portfolio risk, and draft investor reports — all in a single conversation.
Conversational AI
Human-like dialogue at any scale
A telecom operator handles 80% of billing enquiries and plan changes through a conversational AI — saving ₹40L/year in call centre costs.
Intent Recognition
Understand what users really mean
A food delivery app accurately routes support chats to the right flow (refund / reorder / complaint) based on detected intent — CSAT up 28%.
Speech Recognition
Convert spoken words to actionable text
A hospital uses real-time speech-to-text to transcribe doctor consultations directly into EMR records — saving 45 minutes per doctor per day.
Voice AI
Full end-to-end voice conversations
A bank's Voice AI handles inbound calls, authenticates customers by voice, and resolves balance enquiries — zero hold time, 24/7.