Generative AI applications
Copilots, content generation and knowledge assistants built on leading large language models such as GPT and Claude.
Artificial Intelligence
AI & Machine Learning solutions that deliver real business value
We design, build and deploy AI that works on your own data and inside your existing systems: from Generative AI copilots and autonomous agents to forecasting models that sharpen every decision.
What We Offer
AI & Machine Learning services
From quick proofs of concept to production-grade platforms, we cover the full AI lifecycle.
AI agents & agentic workflows
Agents that reason, plan and act across your CRM, ERP, email and documents to complete work end to end.
RAG chatbots & knowledge search
Retrieval-Augmented Generation that answers questions from your policies, manuals and records, with sources.
Predictive analytics
Machine learning models for demand forecasting, churn prediction, lead scoring and risk assessment.
Document & vision AI
Extract, classify and validate data from invoices, forms and images using OCR and computer vision.
MLOps & responsible AI
Monitoring, evaluation, guardrails and governance so your AI stays accurate, safe and compliant.
Use Cases
Where AI & Machine Learning makes a difference
Customer support assistant
Answer common customer questions instantly and hand complex cases to your team with full context.
Internal knowledge copilot
Let employees ask questions of HR policies, SOPs and technical documentation in plain language.
Sales & marketing content
Draft proposals, product descriptions and campaign content in your brand voice.
Demand forecasting
Predict sales and inventory needs by product, region and season to cut stock-outs and overstock.
Invoice & document processing
Read and validate supplier invoices, purchase orders and KYC documents automatically.
Lead & churn scoring
Identify the customers most likely to buy, or to leave, so your team acts first.
How We Deliver
A clear path from idea to results
1
Use-case discovery
Identify high-value AI opportunities and check data readiness.
2
Proof of concept
Build a working prototype on your data to prove value quickly.
3
Production build
Harden, secure and integrate the solution with your systems.
4
Monitor & improve
Track accuracy, cost and adoption, and keep improving.
Benefits
Why businesses choose AGSOFTECH
Faster operations
Automate knowledge work that used to take hours of manual effort.
Better decisions
Forecasts and insights grounded in your own data.
Secure by design
Private deployments, access controls and data that stays yours.
Scales with you
Architectures that grow from pilot to enterprise-wide use.
Tools & Technology
Technologies we work with
OpenAI GPT
Anthropic Claude
Azure OpenAI
LangChain
Vector databases
Python
TensorFlow
scikit-learn
Hugging Face
FAQ
AI & Machine Learning: common questions
How long does an AI proof of concept take?
Most proofs of concept take two to six weeks, depending on the use case and how ready your data is. You see a working prototype on your own data before committing to a full build.
Is our data safe when using AI?
Yes. We use enterprise AI services and private deployments where your data is not used to train public models, together with access controls and encryption.
Can AI work with our existing software?
Yes. We connect AI to your existing CRM, ERP, databases, email and document systems through APIs and secure integrations.
Do we need a lot of data to start?
Not always. Generative AI and RAG solutions can start with your existing documents. Predictive models need historical data, which we assess during discovery.
Let's talk about AI & Machine Learning
Book a free consultation: email info@agsoftech.com or call +91-9873174794.