Does This Sound Familiar?
Every one of these is a solvable process and technology problem — not a “we need more staff” problem. Here's what our clients face before they come to us:
Your AP Team Spends Days Manually Typing Invoice Data Into the ERP
Every month, hundreds of supplier invoices arrive — PDFs, scanned images, paper. Someone reads each one and types the vendor name, invoice number, date, line items, amounts, and GST details into the ERP. It's slow. It's mind-numbing. And a typo in the invoice amount can mean paying a supplier ₹40,000 instead of ₹4,00,000.
Your Inventory Planning Is Based on Gut Feel, Not Data
The purchase manager 'knows' how much to order because they've been doing it for 15 years. But gut feel means you sometimes have 6 months of a slow-moving item and stock out of your best-seller for 3 weeks. You're tying up lakhs in excess inventory while losing sales from stockouts — and you don't know how much either one is costing you.
Your Customers Ask the Same 20 Questions — and Your Support Team Answers Each One Manually
'Where is my order?' 'What's my outstanding balance?' 'When will the technician arrive?' Your support team answers these questions 50 times a day — looking up information in the ERP, typing responses, copy-pasting tracking numbers. This is exactly the kind of repetitive, data-retrieval work that an AI chatbot can handle in seconds.
You Have Years of ERP Data But Extract Zero Predictive Value from It
Your ERP holds 5 years of sales transactions, inventory movements, customer buying patterns, and supplier performance data. This data contains the answers to questions like 'Which customers are likely to churn?' and 'What should we stock for Diwali season?' — but those answers stay buried in database tables because no one has the tools to extract them.
We don't do 'AI theater' — flashy demos that never make it to production. We build practical AI that plugs into your existing ERP and CRM, solves a specific business problem, and delivers measurable ROI within months. Every project starts with an AI opportunity audit to identify the 1-2 use cases that will actually move the needle for your business:
How We Deliver
Detailed breakdown of what you get, how we do it, and what the result looks like.
Document Intelligence — Invoices, POs & Receipts That Read Themselves
Stop typing. Let AI extract data from documents and push it directly into your ERP.
We build document processing pipelines using Azure Cognitive Services, custom-trained OCR models, and large language models that extract structured data from invoices, purchase orders, receipts, and delivery challans — and push it directly into your ERP with validation rules that flag anomalies before they become problems.
What You Get
Real Scenario
A manufacturing company processes 400+ supplier invoices monthly — a full-time AP clerk's entire job. We built a document intelligence pipeline that reads incoming PDF invoices, extracts all fields, validates GST details against the GST portal API, and creates draft vendor bills in BC. High-confidence invoices (typically 75-80%) are auto-posted. Low-confidence ones go to a 2-click review queue. Invoice processing time: reduced by 90%. The AP clerk now handles supplier negotiations and payment planning.
Predictive Analytics on Your ERP Data
Stop guessing. Let your own historical data tell you what's going to happen.
We build predictive models trained on your historical ERP data — sales transactions, inventory movements, customer purchase patterns, supplier lead times — and surface their predictions in dashboards your team already uses. No new tools to learn. No data science degree required.
What You Get
Real Scenario
A distribution company was tying up ₹40 lakhs in excess inventory of slow-moving items while simultaneously stocking out of their top 20 SKUs every quarter. We built a demand forecasting model on their 5 years of ERP sales data that predicts SKU-level demand for the next 60 days. The model's recommendations reduced excess inventory by 25% and stockouts by 60% in the first 6 months.
AI-Powered Chatbots & Virtual Agents
Your customers get instant answers. Your team gets their time back.
We build LLM-powered chatbots that are connected to your ERP and CRM — so when a customer asks 'What's my order status?' or 'What's my outstanding balance?', the bot queries your live ERP data and responds with accurate, real-time information. Not a canned response. Not 'please call our support team.' Actual data from your system.
What You Get
Real Scenario
A B2B distributor was getting 150+ WhatsApp messages daily from dealers asking 'Status of my order #1234?' and 'What's my current balance?' — consuming 60% of their support team's time. We built an ERP-connected WhatsApp chatbot that queries BC in real time and responds with order status, invoice details, and account balance. 70% of routine queries are now resolved instantly by the bot. Support team handles only complex issues and relationship management.
What Our Clients Typically Achieve
Faster invoice processing — from days of manual typing to minutes of AI-powered extraction with human review only for edge cases
Average reduction in excess inventory — data-driven reorder recommendations replace gut-feel purchasing
Routine customer queries resolved by AI chatbot — your support team focuses on complex issues and relationship building
Typical time to measurable ROI — AI projects start paying back within a quarter, not a year
Our Process
A structured, milestone-driven approach that keeps you in control at every stage.
AI Opportunity Audit
We analyze your current processes, data quality, and pain points. We identify the 1-2 AI use cases with the highest ROI and lowest implementation risk.
Data Readiness Assessment
We assess your data quality, completeness, and accessibility. If data needs cleaning, we scope that first — no model training on garbage data.
Model Development & Training
Build and train the model on your data. For document AI: train on your actual invoices. For forecasting: train on your actual sales history.
ERP Integration
Integrate the AI model into your ERP/CRM — results appear in the dashboards and workflows your team already uses. No separate AI tool to learn.
Monitor & Improve
Track accuracy and usage. Retrain models monthly with new data. AI gets better the more you use it — unlike software that stays static.
Technology Stack
The tools, platforms, and technologies we use to deliver this service.
Production-Proven Results
Not a demo. Not a prototype. Deployed and running.
A manufacturing company reduced invoice processing time by 90% using our document intelligence pipeline — 400+ monthly invoices now processed automatically, with only 20-25% flagged for human review. Their AP clerk now focuses on supplier negotiations instead of data entry.
Frequently Asked Questions
Quick answers to common questions.
Ready to Solve This?
Tell us about your requirements and we'll show you exactly how we'd approach your ai integration project — with a concrete plan, timeline, and investment estimate.