AI Services
The AI Practice Built on Engineering Discipline.
From LLM integrations to Agents, SwaaS engineers AI that is accurate, governed, and built to perform in production environments.
AI Capabilities
The Core AI Capabilities Behind Every SwaaS Build
Every AI system SwaaS builds draws from eight core capabilities, each production-tested, each built to work as one connected system.
What We Build
AI Services That Go From Concept to Production
Four practice areas. Each one covering a distinct AI capability. All of them delivered with the same FTR discipline and governance SwaaS applies to every build.
- RAG
- Conversational AI
- AI Applications
- Legacy Modernization
RAG
SwaaS builds RAG systems that index your enterprise data and make it queryable in plain language. Just accurate answers pulled from your own sources, in real time.
Sub-services:
- Enterprise Data Indexing - Your data, structured, indexed, and ready for AI to retrieve accurately.
- Natural Language Querying - Users query complex data in plain language and get precise, sourced answers instantly.
Conversational AI
SwaaS builds AI systems that hold real conversations and take real actions. From intelligent chatbots to agents that handle multi-step workflows end-to-end.
Sub-services:
- Chatbots - Omnichannel AI assistants built on enterprise LLMs.
- Agentic AI - Autonomous agents that reason, retrieve, and act across complex workflows with human oversight at critical decision points.
AI Applications
SwaaS has built AI applications across four use cases. Each one available as a reference build or customized for your specific environment.
Applications:
- Sales Coach - An AI system that analyzes sales conversations, surfaces coaching insights, and helps reps close faster.
- IDP (Intelligent Document Processing) - Extracts, classifies, and processes unstructured documents with AI accuracy and human-in-the-loop validation.
- Ask-Your-Data - A natural language interface that lets anyone in your organization query internal data without writing code.
- Service Assistant - An AI-powered support agent that resolves queries, escalates intelligently, and learns from every interaction.
Legacy Modernization-Powered by Arjun
SwaaS modernizes legacy codebases using Arjun, a six-agent AI pipeline that replaces chaotic, handoff-driven refactoring with a spec-driven, governed system.
What Agent Arjun covers:
- Story + Spec - Business requirements converted into validated, testable specs before a line of code is written.
- Code Analysis - Dependencies mapped, reusable code identified, migration blueprint produced.
- Code Generation - Backend and frontend code generated from the spec, tailored to your existing stack.
- Code Review - Every line of generated code reviewed for correctness, security, and performance. Up to three review cycles run before anything moves to the next stage.
- Integration & Testing - Automated tests run, API contracts validated, data flow integrity confirmed.
Data to AI Practice
From Broken Data to
Business That Runs on
Intelligence
Most enterprises sit on data that lives in disconnected systems, structured in different ways, accessible only to specialists. SwaaS connects it, structures it, and builds AI on top of it so your business stops reacting and starts deciding.
Enterprise Data
AI-Native SDLC with agent pipeline across Spec, UI, Dev, and QA. Built to reduce rework and increase shipping velocity.
Foundation Models
Once the data is structured and integrated, SwaaS builds RAG systems and foundation models that extract meaning from the data and surface decisions, not just reports.
Autonomous Agents
With intelligence in place, SwaaS deploys agents that act on it. They handle complex decisions, trigger workflows, and improve with every cycle.
Business Outcomes
The result: faster operations, reduced costs, and teams no longer buried in manual work. Your people focus on strategy. The system handles the rest.
AI Tech Stack
AI Stack
Architecture
A layered AI stack architecture built for accuracy, governance, and deployment at scale. Every component is connected, from foundation models to the interfaces your users interact with.
Search and Retrieval
- LangChain
- LlamaIndex
LLM Providers
- OpenAI
- Perplexity
- Anthropic
- Hugging-Face LLM
Data Storage
- Pinecone
- SQL Server
- MySQL
- PostgreSQL
- PGvector
- FAISS
Multi-Modal
Intent Classifier
- RASA
- Google Dialogflow CX
Infrastructure
- Docker
- Azure
- AWS Cloud
- Google Cloud
Tech Stack
- React
- Flutter
- GraphQL
- Python
- Node.js
- Fast API
- Langchain
Agent Pipeline
AI-Native Dev
Pipeline, Built by SwaaS.
AI Native Pipeline based on years of delivery experience. Agent Arjun is a development pipeline, a set of agents that turn your development process into a governed pipeline.
Arjun
Our AI-Native Development Engine
Most product development fails at handoffs. Between requirements and design. Between design and development. Between development and testing. Every handoff is a place where context gets lost, and rework begins.
Arjun is SwaaS's AI-Native development engine that eliminates handoffs entirely. A six-agent pipeline where every agent's output becomes the next agent's input. Spec-driven. Every stage validated by a human. No agent moves forward without sign-off.
The six agents:
How It Works
What Happens Inside
an AI Agent
Every AI agent SwaaS builds follows the same six-step reasoning loop, from the moment a query arrives to the moment it is resolved, with human oversight.
User Query
Understanding user intent and context
Reasoning
Analyzing and breaking down the problem
Retrieval
Finding relevant information and evidence
Tool Usage
Calling tools and APIs to take action
Action
Executing the decided actions
Resolution
Delivering the output
SwaaS Agents AI combines continuous reasoning, multi-step tool orchestration, and human-in-the-loop governance. The result: self-improving systems that operate within defined guardrails and get more accurate with every cycle.
SwaaS AI Governance
AI That Earns
Trust at Every Layer
SwaaS governs every AI system it builds, from the first commit to the final deployment. Five layers. No exceptions.
Built Bias-Free from the Start
Compliance Before the First Commit
Human Validation at Every Decision Point
Full Visibility into Every AI Action
Governance Baked In
Results That Speak
AI That Moves
the Needle
Every metric here came from a live engagement, a real client, and a system that went to production.
97%
On-Time Delivery
Every sprint. Every engagement. No exceptions.
20+ Agents Built
Purpose-built, tested, and deployed in live production environments.
3X Productivity Gained
Decisions made three times faster using AI-powered insights from live data.
17+ Years of Expertise
Enterprises trust SwaaS with their most critical systems.
Faster Time to Market
Less rework. Fewer sprint overruns. More predictable launches.
200+
Minds behind the work
Engineers, architects, data scientists, and delivery leads. All own the outcome.
In Our Own Words
Built From Experience.
Written the Same Way.
No opinions. Just patterns, observations, and lessons from live AI engagements.
Domain Agents vs Domain LLMs: What's the Right Fit for Al-Driven Business Processes?
10 min read
Aug 15, 2025
Grounding and Context: The Cornerstones of Domain-Specific Als
12 min read
Apr 29, 2025
Understanding Agentic Al: The Future of Autonomous Business Intelligence
08 min read
Jan 14 2026
Implementing Agentic Al: A Comprehensive Framework for Success
10 min read
Jan 30, 2026
How Our Maturity with IPA + AI Enabled Us to Implement a Churn Risk Framework
10 min read
May 16, 2025
From Unknown Territory to Project Win: How we secured a complex Compliance Mngt. system development project
08 min read
Jan 06, 2025
From Project Win to Al-Assisted Product Engineering: How We are Building a Compliance Management System
12 min read
Jan 25, 2025
Al-Powered First-Time-Right (FTR) SDLC Framework - Fixing Structure Before Code (Part 1)
08 min read
Feb 20, 2026
Al-Powered First-Time-Right (FTR) SDLC Framework - The Execution Pillars
10 min read
Mar 27, 2025
The Offshore Implementation Partner Built for Enterprise Al Rollouts
15 min read
Apr 16, 2026