AI & Automation

Stop paying salaries
for work machines
do in milliseconds.

Practical AI that replaces repetitive work, augments your team's output, and pays for itself in under 90 days. No hype — just measurable results.

70% avg ticket deflection
ROI positive in 90 days
GPT-4 · Claude · Gemini
What's our Q3 revenue vs target?
Q3 revenue ₹4.2 Cr — 94% of ₹4.47 Cr target. Main gap: Enterprise tier ₹18L below plan. 3 deals in final stage totalling ₹22L due to close by Oct 15.
88%
Query AccuracyTrained on your data, not the public web
0%
Avg ticket deflection
0
Time to positive ROI
0%
Avg cost reduction
0+
AI integrations delivered

Human salaries for machine-level tasks are the most expensive inefficiency in your business

Every repetitive decision, manual data entry, or answered FAQ is money spent on work that should be automated. Here's what that looks like in practice.

"Our support team answers the same 200 questions daily"

A custom-trained chatbot handles 60–80% of tier-1 queries autonomously. Your team focuses on complex issues only a human should handle.

"We manually process 500 invoices every month"

Document AI extracts, validates, and routes structured data from PDFs with 95%+ accuracy — in seconds, not the half-day it currently takes your team.

"We copy data between systems every morning"

RPA bots execute multi-step workflows across any software — SAP, Tally, web portals, even legacy desktop apps — without any API or code changes needed.

"We only find out a problem existed after it affected customers"

ML-based anomaly detection monitors your operations in real-time and flags issues — before they become customer-facing failures or revenue losses.

Practical AI, Not Impressive Demos

Every engagement starts with an ROI model. If the numbers don't work, we say so before you spend a rupee.

Custom AI Chatbots

Trained on your documentation, products, and tone. Handles support, sales qualification, onboarding, and internal Q&A — in English, Hindi, or Tamil.

Document Intelligence

Extract and validate data from invoices, contracts, ID proofs, and forms with 95%+ accuracy. Integrates directly into your existing approval workflows.

Computer Vision

Defect detection on production lines, visual quality control, attendance via face recognition, and retail shelf monitoring — anything requiring machines to "see."

Process Automation (RPA)

Automate rule-based workflows across any application — even legacy systems with no APIs — triggered by schedule, event, or human approval.

Predictive Analytics

Demand forecasting, churn prediction, and fraud detection — ML models trained on your historical data, deployed as APIs your systems call in real-time.

LLM API Integrations

Connect GPT-4, Claude, or Gemini to your product with rate limiting, cost controls, output guardrails, and fallback logic built in from day one.

From business problem to working AI in four phases

1
Phase 01

AI Readiness Assessment

We audit your data quality, identify high-ROI automation opportunities, and rank them by impact vs cost. Output: a prioritised AI roadmap with ROI projections — before a line of code is written.

2
Phase 02

Proof of Concept

Working POC on your actual data in 2–3 weeks. Real accuracy numbers on your real use case — before you commit to full production investment.

3
Phase 03

Production Build

Hardened API layer, monitoring dashboards, fallback logic, confidence thresholds, and admin controls your team can tune without developer help.

4
Phase 04

Monitor & Retrain

Monthly retraining cycles, accuracy dashboards, and human-in-the-loop review for low-confidence decisions. AI that improves instead of drifting.

"

Their AI chatbot handles 73% of our customer support with no human. Our support team stayed the same size while we tripled our customer base. ROI was visible in 6 weeks.

PS
Priya Suresh
Head of Operations, FinFlow India, Bangalore

AI Questions Answered Honestly

Free AI Assessment
Not always. We start with a data audit. For LLM-based tools like chatbots, you often need far less structured data than you think. We'll tell you what needs cleaning and what we can work with as-is.
We use API access only — your data never trains public models. For sensitive industries, we offer on-premise deployment using open-source models (Llama 3, Mistral) on your own infrastructure.
Every production system includes confidence thresholds and human escalation paths for low-confidence decisions. We never recommend full automation without a human review layer for high-stakes outcomes.
Chatbots and document automation typically show ROI within 6–10 weeks of go-live. We model expected ROI before you commit — if the numbers don't work, we'll tell you that too.

Find out which AI use case will pay back fastest.

Our free 30-minute AI Readiness Assessment identifies your top 3 automation opportunities, models ROI, and tells you what data you need to start. Zero commitment.

No vendor lock-in On-premise available ROI modelled before build