Blog

Based on our own incident, where 42 messages went out unapproved: which AI actions need human sign-off and how to build a gate that cannot be skipped.

A prospect asked for the price and vanished. How an AI agent follows up on a schedule, when it must stop, and what stays with your sales team.

A language model reads Uzbek in any spelling, but search, CRM and keyword triggers do not. Where the two-script reality breaks a bot and how to set it up so it doesn't.

A day-by-day map of new-hire questions, a check-in schedule, a sample conversation and honest limits: where AI helps with onboarding and where only a person will do.

The buyer journey for an online course on Telegram: what AI can close on its own at night, how to handle payment and access, and what stays with your team.

How a button-based Telegram bot differs from an AI agent, how each connects to your CRM and accounting system, and which setup fits your process.

"In the cloud" is not an answer. We break AI automation into its storage points and show how to build a data and access map before launch.

A sheet layout an AI agent can work with, five jobs it takes off your team, write rules that keep the data clean, and honest signs the spreadsheet has outgrown you.

Three streams that eat up a school administrator's day — parent questions, trial lesson bookings and timetable changes. What you can hand to AI and what you shouldn't.

How to learn a prospect's need, timing and budget without losing them at question three: design rules, a sample dialogue and a checklist for reviewing your own bot.

IT Park residency is a tax regime for the vendor, not a quality badge. Here is how to verify it, what it changes in your paperwork and what you still need to put in the contract.

Which employee questions AI can close from your knowledge base, where the rest go, and how every unanswered question becomes a new policy article.

A step-by-step guide to linking 1C with an AI agent: connection options, free stock instead of total balance, draft orders and proactive status updates.

Three bottlenecks in a travel agency — incomplete enquiries, slow option building and silence after quotes go out. What you can hand to AI and what stays with your agents.

Which documents AI reads reliably, which checks must run after extraction, and why posting and payment still stay with your finance team.

A pilot is not a mini rollout but a test of a hypothesis. What happens each week, which numbers to capture before launch and how to decide at the end.

The 2026 amendments narrowed mandatory data localisation in Uzbekistan, but consent, retention and liability remain. Here is where personal data flows in AI automation and what to configure before launch.

Two or three months of exported leads, four time windows and an honest comparison of day versus night conversion — no borrowed industry percentages.

Write rules for an AI agent in amoCRM: when a lead is created, duplicate search, stage permissions, the note template and handover points to your sales team.

Three message streams in hospitality — bookings, menu questions, delivery complaints: where AI takes the load and where a person has to make the call.

Where language models already handle Uzbek well, where they slip — mixed language, Cyrillic, voice notes, terminology — and how to test one on your real customer messages in a day.

A practical setup for high-volume hiring: one candidate record, knockout questions in a messenger bot, replies in the candidate's language and clear limits where HR decides.

What to count as a first response, why the average hides lost enquiries, and how to get an honest picture by channel, hour and salesperson within a week.

The questions that show how a vendor handles your data, model mistakes and support after launch, and how to tell a considered answer from a deflection.