Notes from the operations floor
SLA design, booking rollout, lead response and what "AI inside the CRM" should mean.

WhatsApp bots for customer support in India: a practical guide
Your customers are already on WhatsApp. How to run support there without a queue nobody owns: templates, hand-over, consent and what to automate first.

Choosing a white-label booking engine: what to check before you sign
Seat maps, agent sales, counter fallback, QR boarding, refunds — the operational checklist for ferry, bus and activity operators evaluating a booking engine.

An AI assistant inside the ticket: how it should actually work
Not a chatbot beside the helpdesk: an assistant that has read the ticket, the knowledge base and the history before the agent opens it. How it should work.

SLA design for small support teams: four tiers, business hours, and one honest clock
You do not need an enterprise contract to run SLAs. How to set response and resolution targets a team of five can actually meet, and see when it does not.

Building a GenAI knowledge base that answers correctly: load, extract, test, publish
Most AI answer-quality problems are knowledge problems. A four-step method for turning policies, SOPs and FAQs into a knowledge base an AI can cite.

Lead response time: why the first hour decides the deal, and how to win it
A new enquiry cools by the hour. How to capture every lead from web, WhatsApp and missed calls, respond in minutes, and keep the follow-up alive.
Bring one real pipeline or one real queue.
We'll map it live in 30–45 minutes — your stages, categories or routes, configured on the call.
