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Shivani Jasoliya

Support operations and industry guides · Vatdi team

Shivani writes about running support with an AI assistant in the loop: handover rules, the weekly quality review, deflection measured honestly, data handling, and what changes for a fashion, furniture, education or B2B store. Measure first, then recommend.

Bar comparison of three chatbot deflection definitions showing how the same conversations produce very different rates
Support operations
7 views

Chatbot deflection rate is the share of conversations that end without a person, and it is the easiest support metric to fool yourself with. A customer who gave up counts the same as a customer who got an answer. This guide covers the three definitions vendors use, how to measure the honest version, why published benchmarks are other people's stores, and what to change when the number moves.

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Flow showing a chatbot conversation escalating to a human agent with the transcript and order details attached
Support operations
19 views

Chatbot human handover is the difference between an assistant customers trust and one they resent. Four triggers are worth escalating on: the customer asks, the assistant lacks the answer, the topic is sensitive, or the conversation is going in circles. This guide covers what to pass to the agent, what to tell the customer, how to handle out-of-hours, and the numbers that show whether the rules are set right.

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Map of the questions a retail chatbot handles for an online store: stock, sizing, order status, returns and store hours
Industry guides
18 views

A chatbot for retail earns its place by answering the questions that stop a sale: stock, sizing, delivery dates, order status, returns and where the shop is. This guide lists what shoppers actually ask, what a retail assistant should and should not handle, how physical shops with an online store use one, and how to set it up from your own catalogue and policies in an afternoon.

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Chat where the AI recognises a delivered-but-missing parcel and hands the case to a person with the order details
Support operations
38 views

An AI customer service bot earns its place on the contacts with an answer in your content or order data, and loses trust the moment it improvises on the rest. This guide draws the line: what a retrieval-based bot handles well, what it must hand to a person and how, the ten instructions that keep it honest, what our data shows, and the numbers to watch weekly.

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Five-item scoring checklist for choosing a customer service chatbot, from own-data answers to handover quality
Support operations
72 views

Every "best chatbot for customer service" list ranks tools nobody tested on your queue. This guide gives the scoring method instead: seven weighted criteria (own-data answers, honest declines, handover quality, channels, cost per contact, reporting, data handling), the candidates with their published September 2026 prices and units, what a service bot must never do, and where each tool fits by team size.

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Property website chat confirming a listing is available and taking a Saturday viewing request as a lead
Industry guides
915 views

On a property website the useful questions are about a specific listing, the area, fees and the process, and the valuable outcome is a viewing request. This guide covers what an AI chatbot can answer from listing and guide pages, how it takes viewing requests as rated leads, what must go to an agent (offers, negotiations, mortgage and legal advice), and how to keep availability answers honest.

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SaaS website chat answering which plan includes SSO and offering to send the security overview by email
Industry guides
1,424 views

A SaaS website has no catalogue and no orders; it has a pricing page, documentation, an integrations list and a security page, and visitors who are evaluating rather than buying. This guide covers which questions an AI chatbot should answer from that content, which must reach a person (billing, enterprise quotes, security questionnaires, account issues), how to capture and rate leads, and where the widget earns its place.

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Bank website chat listing the documents needed to open an account and declining to access a customer's card details
Industry guides
1,526 views

On a bank or finance website, an AI chatbot is safe and useful for public information: products, published rates and fees, documents needed, branch hours, how-to steps. It must never touch accounts, credentials or advice. This guide draws that line precisely, shows the handover rules, the security wording, the privacy checks and the content to feed the bot, and how to measure it in the first month.

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Privacy checklist for a store chatbot: signed DPA, two-fact order lookup, stated retention, export and deletion
Support operations
1,093 views

An AI chatbot on a store handles message text, order lookups, leads and sometimes uploaded documents, which makes it part of your GDPR obligations. This checklist covers what data flows where, the questions to put to a vendor (DPA, subprocessors, encryption, retention, model training), how to minimise what the bot collects, how deletion and export requests are handled, and what to tell shoppers.

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