Practical solutions for your business

From repetitive work to smart processes.

Pick your industry, find a matching scenario and see step by step how AI automation works.

AI advisor that helps customers choose products (E-commerce and retail): The customer describes a need and a budget, and AI presents 3 matching products from the live catalog with a comparison.
Personalized reminders for abandoned carts (E-commerce and retail): A customer who leaves a cart gets a personal reminder with current price and stock, if they have given consent.
Answering order status requests (E-commerce and retail): "Where is my order?" gets an instant answer with the status taken from the order and shipping systems.
Organizing return and exchange requests (E-commerce and retail): A return request is linked to the order, checked against the rules and reaches the responsible staff member with complete data.
Preparing content for the product catalog (E-commerce and retail): Attributes are extracted from the supplier file, a description and SEO text are drafted, and after editor approval they are written to the catalog.
Reservation assistant (Restaurants and cafés): Date, time and party size are extracted from a table request, capacity is checked, and the booking is saved after the customer confirms.
Answering menu and allergen questions (Restaurants and cafés): Menu questions are answered only from the approved menu database; if allergen data is not certain, the question goes to a staff member.
Spotting service problems in reviews (Restaurants and cafés): Reviews from permitted sources are classified by topic, recurring problems become tasks for the responsible team, and a weekly summary is prepared.
Draft purchase orders for supplies (Restaurants and cafés): Based on stock and sales data, a draft order is prepared for items that fall below the minimum level and sent to the supplier after the manager approves.
Daily location report (Restaurants and cafés): When the day closes, POS data from all locations is combined, checked for anomalies by rules, and a short report goes to management.
Appointment scheduling (Clinics and dental care): Appointment requests are gathered in one flow: minimal administrative data is collected, free slots by service and doctor are offered, and the booking is added to the calendar after confirmation.
Appointment reminders and rescheduling (Clinics and dental care): Patients who consented get a reminder before the appointment; they can confirm or pick a new free slot, and the calendar updates automatically.
Sending appointment preparation instructions (Clinics and dental care): Clinic-approved preparation instructions for the appointment type are sent in the patient's language, and receipt is recorded.
Routing patient requests to the right department (Clinics and dental care): The topic of the request is identified, confidential data is limited and the request reaches the responsible person in the right department; for urgent phrases, only the approved referral text is sent.
Patient satisfaction and feedback (Clinics and dental care): After the appointment, patients who consented get a short survey; replies are classified, tasks are opened for low scores and an anonymous report is prepared.
Buyer inquiry matching (Real estate): Budget, area and requirements are pulled from the buyer’s inquiry, missing questions are drafted, and the agent gets a ready summary with matching listings.
Property shortlist for a client (Real estate): Active listings are filtered by the confirmed need, checked for freshness, compared with reasons for fit, and sent to the client after agent approval.
Property viewing scheduling (Real estate): Preferred times are extracted from the viewing request, the agent, client and owner calendars are matched, and the viewing is booked once all three confirm.
Property listing copywriting (Real estate): Property data is checked, listing copy and channel versions are written only from confirmed facts, and the listing is ready to publish after agent approval.
Follow-up on unanswered inquiries (Real estate): Inactive inquiries are found in the CRM, status and consent are checked, and a short follow-up based on the earlier conversation is sent within the rules.
Course selection assistant (Education and courses): A prospective student describes their goal and current knowledge, the assistant shows programs from the course catalog that meet the prerequisites with an explanation, and passes the case to an advisor.
From application to enrollment (Education and courses): The application form is checked, a CRM record is created, a suitable group is picked, and if there is a seat the enrollment is confirmed and activated in the LMS.
Class and assignment reminders (Education and courses): Students get timely reminders based on class and assignment dates in the LMS, and notifications stop for assignments already submitted.
AI assistant based on course materials (Education and courses): Student questions are answered only from teacher-approved materials, with the source cited; if the materials do not cover it, the question goes to the teacher.
Attendance alert for teachers (Education and courses): When attendance crosses a rule-based threshold and the data is complete, the teacher gets a short summary and a draft personal message to the student, sent after the teacher approves.
Salon service and time booking (Beauty and fitness): The client writes the service they want, the system finds the duration, the specialist and open slots, and after confirmation a booking and reminder are created.
Waitlist handling for canceled bookings (Beauty and fitness): When a booking is canceled, the open slot is offered in turn to matching clients on the waitlist and booked atomically for the first one to confirm.
Approved aftercare instructions (Beauty and fitness): When a service ends, the salon’s approved aftercare instructions are sent to the client in an easy format, and follow-up questions are routed to the right person.
Fitness trial class sign-up (Beauty and fitness): A prospect writes the class type and time, matching classes with open spots are offered, and after they choose, the spot is reserved and arrival details are sent.
Membership expiry tracking (Beauty and fitness): Memberships close to expiry are found automatically, their status is checked, approved renewal options are sent by consented message, and the reply is logged in the CRM.
Sorting incoming sales inquiries (B2B sales and services): Company and need details are extracted from form and email inquiries, checked against clear rules, and handed to the right sales rep with a summary.
Post-meeting summary and tasks (B2B sales and services): Decisions and tasks are extracted from a meeting transcript recorded with participants' consent, and written to the CRM and task system after the owners confirm them.
Drafting a commercial proposal (B2B sales and services): Based on an approved brief, a proposal draft is prepared from the service catalog and pricing rules, and after the sales lead approves it, a document and an email draft are created.
Following up after a proposal is sent (B2B sales and services): The status of sent proposals is tracked; after the agreed waiting period, recent contacts are checked and a suitable follow-up is sent. The sequence stops on a reply or a decline.
Organizing new client onboarding (B2B sales and services): Once the deal is approved, an onboarding checklist is created, documents and the brief are collected through a secure form, missing items get reminders, and the project opens with a kickoff notice.
Preparing freight quote requests (Logistics and auto service): Route, dimensions and weight are extracted from the request, missing details are asked for once, a quote draft is built from tariff rules, and an operator approves it.
Delivery delay notifications (Logistics and auto service): A status event from the cargo system is checked against the delay rule, and affected clients are notified only with a confirmed time.
Checking delivery documents (Logistics and auto service): The delivery receipt is uploaded, read with OCR, matched to the order, checked for required fields, archived, and the status is updated.
Auto service intake and work order (Logistics and auto service): Vehicle and service details are extracted from the request, a suitable slot is booked, and a preliminary work order is passed to the mechanic.
Customer approval of a service estimate (Logistics and auto service): After the mechanic's inspection, extra work and prices are sent to the customer with an approval link, and the choice is written to the work order automatically.
Answering guest questions before booking (Hotels and tourism): Room, check-in and service questions are answered from approved hotel information; availability is checked in the PMS when needed and a booking link is offered.
Sending pre-arrival information (Hotels and tourism): For a confirmed booking, check-in and directions are sent at the right time in the guest's language, and any extra request from the guest is logged in the PMS.
Routing guest requests to departments (Hotels and tourism): The guest's request is securely matched to the booking, classified, sent to the right department as a task, and the guest is updated on its status.
Preparing a tour package offer (Hotels and tourism): Options are picked from the approved package database by dates, budget and interests, availability is checked, a comparison is prepared, and the offer is sent with agent approval.
Operational summary of guest reviews (Hotels and tourism): Permitted review data is sorted into topics and grouped by department, recurring issues become tasks, and a short summary is prepared for management.
Invoice data extraction (Finance and accounting): Supplier, date and amount fields are extracted from invoices that arrive by email, totals and duplicates are checked, and the entry is posted only after an accountant approves it.
Payment due reminders (Finance and accounting): For invoices that are due or overdue, the balance status is refreshed, a message is drafted according to the contract rules and sent after approval.
Expense document categorization (Finance and accounting): A receipt uploaded by an employee is read, AI suggests an expense category, company rules are checked and the accountant approves.
Matching bank transactions to invoices (Finance and accounting): The bank statement is normalized, candidate invoices are found by amount and reference, and the invoice status is updated after the accountant confirms the match.
Monthly management finance summary (Finance and accounting): Key metrics are calculated from approved reporting data, an explanation of changes is drafted, and the summary goes to management after the finance lead approves it.
Structuring job applications (HR and internal operations): Only job-related information is extracted from a CV, compared factually with the vacancy criteria, and every application reaches HR with a summary.
Scheduling interviews (HR and internal operations): After HR approval, panel members' calendars are checked, time options are sent to the candidate, and an invitation and reminder are scheduled for the chosen time.
New employee onboarding (HR and internal operations): When the start date is confirmed, a role-based checklist is created, HR and IT tasks are opened, the manager approves the plan and progress is tracked.
Internal AI assistant for company policies (HR and internal operations): An employee asks a question on the internal portal, the assistant answers with sources only from approved documents they can access, and opens a ticket if there is no answer.
Managing leave requests (HR and internal operations): A leave request is recorded through a form, remaining days and team coverage are checked, and after manager approval it is recorded in the HR system and the calendar.
Alerts for unusual ad performance changes (Marketing and agencies): Ad spend and results are checked against rules every day, and when an unusual change occurs the marketer receives an alert with an explanation.
Weekly marketing report for clients (Marketing and agencies): KPIs are calculated from approved sources, compared with the previous week, and sent to the client after the account manager approves.
On-brand content drafts (Marketing and agencies): Text variants for different channels are drafted from an approved brief, facts and style are checked, and the content is scheduled after editor approval.
Turning a campaign brief into tasks (Marketing and agencies): Deliverables and constraints are extracted from the brief, ambiguous requirements are set aside as questions, and tasks are created after the project lead approves.
Unifying lead sources in the CRM (Marketing and agencies): Website forms and channel events are checked by UTM and identifier, duplicates are merged and every lead is tracked in the CRM with its source.

Enterprise scenarios: ERP, CRM and SAP

From CRM to order fulfillment and payment (Lead-to-Cash): The full cycle from sales opportunity to payment: requirements are structured, stock, price and credit are checked in parallel, after approval the order is created in the ERP and its status is visible in the CRM.
From purchase request to payment (Procure-to-Pay): The full chain from a department’s purchase request to handover for payment: budget, cost center and policy are checked in parallel, the contract or request-for-quotation path is chosen, an amount-based approval chain runs, and the order, receipt and invoice are linked to each other.
Investigating invoice mismatches (Three-Way Match): An incoming invoice is split into fields, duplicate risk is checked, and lines are matched against purchase orders and receipt documents. Differences go to the responsible party, the document is checked again after the fix, and it is posted after authorized approval.
Creating a new customer or supplier (Master Data Governance): From a new partner request to an active record: details are extracted from documents, duplicates are searched, legal, tax, bank and compliance checks run in parallel, a record is created or an existing one is extended, and the identifier is passed to every system.
From sales forecast to production plan (Demand-to-Production): From sales history, open orders and the CRM pipeline to an approved production plan: a forecast model calculates scenarios, the planner approves the demand plan, raw materials, capacity and supplier lead time are checked in parallel, and execution documents are created once in the ERP.
From quality complaint to batch tracing (Complaint-to-Resolution): A customer complaint is linked to the order, product and batch, the same batch is investigated across four sources in parallel, a quality specialist decides, a stock block is written after an authorized person approves it, and an approved reply goes to the customer.
From equipment fault to service and spare parts (Service-to-Resolution): A service request is linked to the equipment, warranty and history are checked, the part and technician are selected in parallel, a different approval path runs depending on warranty, the service order and reservation are created once, and the work result is written to the equipment history and the CRM.
Sales discount and margin approval (Pricing Exception Management): A special price request is calculated together with the contract, cost, logistics and payment terms, margin is derived with an approved rule, and the request goes to approval according to the authority matrix. The approved price has a validity period, and only an approval that is still valid is applied to the ERP order.
Debt collection and dispute resolution (Collections & Disputes): Overdue invoices are ranked by approved priority rules, existing disputes and payment promises are taken into account, and a contact task is prepared for the collector. The customer reply goes down the payment, promise or dispute path, and the result is updated in the ERP and the CRM.
Intercompany orders and reconciliation across a holding (Intercompany Order Orchestration): A customer order at Company A is fulfilled from Company B's warehouse: the contract, product codes and transfer price are checked, documents with mutual references are created in both companies, differences are resolved by the finance teams, and the result is shown on the holding dashboard.
From contract to obligations and renewal (Contract-to-Obligation): Dates, pricing mechanism, obligations and notice periods are extracted from the approved contract and annexes with their source clause, legal and the business owner review them, obligations are assigned to owners, invoices and service KPIs are compared with the terms, and the renewal decision is opened on time.
Recovering CRM and ERP sync errors (Integration Control Tower): Every event between systems passes identifier, version and duplicate control, is validated and is written to the target system once. Timeouts, temporary errors and data errors are handled on separate paths, unresolved events go to an error queue, and at the end the two systems are reconciled.