AI automation and integrations

We build AI agents, LLM integrations, and workflow automation systems that connect to your CRM, ERP, inboxes, documents, and internal tools so work actually gets offloaded.

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What We Build

Custom AI agents for support, sales assistance, internal copilots, and retrieval workflows

Workflow automation connecting CRM, ERP, email, forms, spreadsheets, and databases

LLM integrations embedded into dashboards, portals, admin tools, and customer-facing apps

Intelligent document processing to extract, classify, validate, and route data automatically

Search, summarisation, and knowledge systems built on your internal content

Analytics and monitoring layers so you can review usage, quality, and business impact

Technology Stack

AI/ML Frameworks: Python, TensorFlow, PyTorch, Scikit-learn, Hugging Face
LLM Integration: OpenAI, Gemini, Claude, and open-weight models when self-hosting is required
Automation: n8n, Make (Integromat), Zapier, custom Python workers
Data Pipeline: Apache Airflow, Pandas, Spark, dbt
Vector DBs: Pinecone, Weaviate, pgvector (for RAG pipelines)
Deployment: FastAPI, Docker, AWS SageMaker, Google Vertex AI

Why AI Now?

The biggest wins are no longer in isolated AI demos. They come from integrating AI into the tools your team already uses and automating the repetitive work around them.

Typical ROI: material reductions in manual handling time once the workflow and integration layer is in place.

Delivery Process

1Discovery — map repetitive work, systems, approvals, and desired business outcomes
2Data and integration audit — review tools, documents, APIs, and access patterns
3Build — create the agent, workflow, and product interfaces around it
4Testing and rollout — monitor quality, permissions, and human review loops

Pricing Guide

AI integration sprint — from ₹40,000
Workflow automation system — from ₹50,000
Internal AI copilot or agent — from ₹80,000
Full AI platform — custom quote

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