Sales and customers
45 use cases, 15 specialists
Sales manager
AI for handling customer objections
Prepares replies and clarifying questions for each objection based on the product description and typical customer phrases ("too expensive," "I'll think about it," "we already have a supplier") and compiles them into a cheat sheet.
Sales script with AI: call and first message
Writes a script for a cold call and a first message tailored to your product and customer type: a reason for the conversation, questions, answers to common objections, and one clear request at the end.
AI assistant for sales managers: company profile before a call
Searches the internet for information about the customer's company (website, news, job openings, expansion) and condenses it into a short brief with reasons to reach out and likely pain points.
Sales coach
Sales call analysis with AI
Uses the call transcript to note where the salesperson moved to price too early, did not ask clarifying questions, or did not agree on a next step, and gives one or two specific tips for the next call.
AI agent for analyzing lost deals
Reviews the history of a lost deal, determines where it was lost (the customer was not a fit from the start, the salesperson fell short, or a competitor proved stronger), and writes down the lessons for the future.
Sales manager development plan: AI drafts it for you
Draws up a training plan for no more than three skills, with verifiable steps and deadlines, based on the salesperson's metrics (plan attainment, win rate, deal length).
Proposal writer
AI for writing a business proposal
Writes a business proposal in Word or PDF based on the customer's request and information about your company: an understanding of the customer's goal, the solution, proof, prices, and the next step.
Tender bid with AI: a response to every requirement
Reads the technical specification and the procurement documentation, compiles a list of all the requirements, and prepares a bid text that answers every item.
AI assistant for your USP and competitive differentiators
Matches your strengths to the needs of a specific customer and formulates three to five main points of the proposal, each with proof: a figure, an example, or a work process.
Key account manager
Upselling to key accounts: a plan from an AI agent
Draws up an upsell plan based on information about the customer: what the customer does not use yet, which signs of readiness are already there, the benefit for the customer, and the timing.
Customer decision-maker map: AI agent for large accounts
Builds a table of the people on the customer's side (who decides, who pays, who influences, who is against) and marks where the relationship depends on a single person.
AI prepares a quarterly review meeting with a customer
Builds a report and a PowerPoint presentation from your data: the value the customer received in numbers, plans for the next period, and agreements with the people responsible and deadlines.
Large deal strategist
Assessing a large deal's chances with MEDDPICC and AI
Goes through the eight points of the methodology (measurable benefit, who controls the budget, decision criteria and process, procurement procedures, and others), scores each one, and shows the gaps.
AI agent for competitor analysis in a deal
Divides the customer's selection criteria into those where you are stronger, where you are on par, and where you are weaker, and suggests how to shift the conversation toward your strengths without attacking the competitor.
Plan to win a complex deal: AI maps out the steps
Prepares a step-by-step plan up to contract signing: the people responsible on both sides, approvals, legal review and procurement procedures, deadlines, and the main risks.
Needs discovery coach
Questions to uncover customer needs: AI assistant
Writes a set of questions for your product and customer type using the SPIN framework (about the situation, the problem, the implications, and the benefit of the solution) and explains in what order to ask them.
What a customer's problem costs: calculation with AI
Lays out the customer's current situation and the desired one and calculates in money what it costs the customer to leave everything as it is: lost revenue, extra costs, employee time.
Script for a first customer meeting with AI
Prepares the flow of the conversation stage by stage: what to find out in advance, where to start, how to get to the real reason for the purchase, and what next step to agree on.
Presales engineer
Product demo script for a customer with AI
Uses the meeting notes to build a demo script: the customer's three main problems, which result to show first, and which detailed walkthroughs to keep ready.
AI agent for a pilot project plan
Draws up the pilot document: what exactly the pilot must prove, measurable success criteria, what is and is not included in the test, a schedule for two to three weeks, and the decision point.
AI for gathering customer technical requirements
Prepares a questionnaire on the customer's integrations, security, and infrastructure and, from the answers and the technical specification, builds a table showing how the product meets the requirements.
Lead generation specialist
AI for a strong offer to customers
Breaks down your offer by four levers (the desired result, belief in success, time to the result, the customer's effort) and suggests what to add: guarantees, bonuses, turnkey service.
Free resource to collect leads: making a lead magnet with AI
Suggests ideas for a free useful resource for your audience (a checklist, a calculation, an analysis) and puts the chosen option together as a PDF along with emails for those who downloaded it.
Referral and partner program with AI
Works out when and how to ask a customer for a referral and what reward to give both sides, and writes the request messages and the terms for partners and agents.
Outbound sales specialist
AI for cold emails to customers
Studies the company's website and news and writes a short email with a reason for writing that makes sense to this particular person and one simple request at the end, without mass templates.
AI for an ideal customer profile
Helps describe which companies and job titles are a fit for you, which events show that it is time for them to buy, and who is not worth your time, with the result in a table of attributes.
Sales outreach sequence: email, call, Telegram, and AI
Lays out a sequence of contacts over two to three weeks across different channels with the text for each step, so that every touch adds something new rather than "just checking in."
Sales funnel analyst
Sales funnel analysis from a CRM export: AI agent
Takes a CRM export in Excel and calculates conversions between stages and the average deal size and length by channel and manager, showing where customers are lost.
AI for sales forecasting from CRM data
Uses the deal history to build a quarterly revenue forecast with a range from the worst case to the best case and states outright the assumptions it rests on.
Stalled deals: AI agent finds early signs of loss
Flags deals in the export that have not moved for more than two weeks, have a single contact at the customer, or have no next step, and compiles a list to review with the managers.
Customer support specialist
Reply to a customer complaint with AI
Writes a polite reply based on the text of the complaint: it acknowledges the problem and explains what will be done and by when, without blaming the customer or making empty promises.
AI assistant for retaining a departing customer
Analyzes the reason for leaving and suggests a reply with options (a pause, a different plan, a fix for the problem), as well as an email to win back a customer who has already left.
Customer support procedures: drafting them with AI
Describes which requests the first line resolves and which ones to hand over to a specialist or a manager, and when, and formats this as a procedures document in Word.
Support operator
Customer reply templates for chat and email: AI
Prepares a set of replies for typical situations (a delayed order, a payment error, trouble logging in) in a consistent tone for chat, email, and social media.
FAQ knowledge base for a website with AI
Collects recurring questions from customer correspondence and uses them to write short answers and articles for the website, the chat, and the operators.
AI agent for checking the quality of operators' work
Checks an export of conversations against a scorecard (greeting, whether the issue was resolved, tone, timing) and compiles the scores and typical mistakes into a table for training.
Customer success manager
Product implementation plan for a customer with AI
Draws up a plan for the customer's first weeks with the product: stages, employee training, the first measurable benefit, and who is responsible for what on both sides.
AI for assessing customer churn risk
Uses an export of product usage, support requests, and contract dates to calculate a "health" score for each customer and highlights those who may leave, with reasons and actions.
Customer contract renewal: AI assistant prepares the conversation
Gathers a summary of the value for the customer, open issues, and options for terms in advance, several months before the contract ends, and prepares an email and a plan for the renewal conversation.
Returns specialist
Product returns under Russian law: AI reviews the situation
Examines where and when the product was bought and whether it has a defect, checks this against the articles of the Russian Consumer Rights Protection Law, and writes what the buyer is entitled to and within what time limits, along with a polite reply to the buyer.
Seller's AI assistant for returns on Wildberries and Ozon
Checks the return request against the distance selling rules and the marketplace's terms, notes signs of abuse (traces of wear, a swapped item), and prepares a reply.
Analysis of product return reasons with AI
Uses a returns export to sort the reasons by product and category (size, description, photos, defects) and shows what to fix in the product listings so that items are returned less often.
Hotel receptionist
Replies to hotel guest reviews with AI
Writes replies to reviews on Yandex Maps and booking sites: thanks the guest, addresses the specific complaint, and says what has been fixed, without boilerplate brush-offs.
Guest emails before check-in and after check-out: AI for hotels
Writes a sequence of emails and messages: a booking confirmation, a pre-arrival guide, and a thank-you message after check-out with a request to leave a review and an invitation to return.
AI agent drafts work standards for a hotel receptionist
Draws up the procedures for check-in and check-out and for handling complaints and room shortages, along with rules for protecting guest information, and compiles everything into a training document.