Maksim
Head of the company
Maksim
Good day! My name is Maksim, I am the head of the company PROMTIS. Write to me for a consultation!
19:7
Maksim
Head of the company
Maksim
Good day! My name is Maksim, I am the head of the company PROMTIS. Write to me for a consultation!
19:7
THE
Beginner’s Guide
Content Generation
Who we help and what problem we solve For marketing, sales, support, HR, and internal communications, where there is a lot of "routine text" and media content: emails, descriptions, instructions, posts, customer responses. We need to speed up the production of materials without losing quality and control. What we specifically do - We set up AI text generation tailored to your tone and theme: * product and service descriptions; * commercial offers and email templates; * social media posts, news, newsletters; * FAQs and knowledge bases. - We implement scenarios for content generation and refinement directly in familiar tools (portal, CRM, service desk, etc.). - We add multilingual support if needed: translations considering industry terminology. - We integrate moderation and approval mechanisms so that content doesn’t go out without control. Results and metrics - Reduction of material preparation time by several times. - Decrease in workload for marketing, sales, and support. - A unified style and quality of communications, less "self-initiative" in texts. Methodology - We collect examples of your content, form the tone and "speech rules" of the company. - We set up prompts and templates for typical cases (product description, customer response, post in Telegram, etc.). - We integrate generation where it is actually used: in portals, CRM, personal accounts, not in a separate "sandbox" application.
AI Assistants and Chatbots
Who we help and what problem we solve
For companies where employees and customers constantly ask the same questions about products, procedures, documents and instructions. You need answers to be fast, available 24/7 and not dependent on team burnout or staffing levels.
What we specifically do
- Build AI assistants for employees:
* search across internal knowledge bases, policies and instructions;
* help with preparing documents, requests, contracts;
* answers to questions about products, pricing plans and processes.
- Develop chatbots for customers and partners:
* responses to FAQs, order and ticket statuses;
* guidance on using the personal account or app;
* initial data collection and routing of requests to the right team.
- Embed assistants into your website, personal account, mobile app, portals and messengers (wherever you already communicate with clients/employees).
- Configure logging, analytics and escalation to a live agent.
Results and metrics
- Reduced workload for support and functional teams.
- Fast, 24/7 answers without queues or dependence on shifts.
- Shorter onboarding time for new employees: “ask the bot and get the exact policy or instruction link”.
Methodology
- Collect and structure knowledge sources: documents, articles, FAQs, typical conversations.
- Configure vector search and context so the assistant answers using your data instead of “hallucinating”.
- Set up a continuous learning loop on real questions: regularly review failed answers, retrain the model and update the knowledge base.
Document and Data Processing
Who we help and what problem we solve For companies where a large volume of documents and data is processed manually: invoices, acts, contracts, applications, questionnaires, reports, scans. We need to reduce manual input, checks, and errors. What we specifically do - We implement recognition and parsing of documents: * invoices, acts, waybills, UPD; * commercial offers, contracts, applications; * questionnaires, surveys, forms. - We extract structured data: details, amounts, dates, counterparties, key conditions. - We implement document classification (type, counterparty, process) and routing to responsible parties. - We integrate checks: validation, completeness control, discrepancy detection. - We set up data transfer to accounting and operational systems, storage, and analytical dashboards. Results and metrics - Sharp reduction in manual input and number of errors. - Acceleration of document and application processing. - Transparency of statuses: where the document is, at what stage, who is responsible. Methodology - We analyze your document types and formats, highlighting priority classes. - We set up recognition and markup models tailored to your template and specifics. - We design the entire process: received document → recognized → checked → entered into the system → saved in storage.
AI Analytics and Forecasting
Who we help and what problem we solve For managers, financial and operational directors who want to look beyond "yesterday's reports" and understand what will happen next: sales, load, demand, churn, delays, and risks. What we specifically do - We build forecasting models: * demand and sales by products/directions; * resource and capacity utilization; * cash flows, receivables; * customer churn and risk segments. - We set up anomaly and deviation analysis: * sharp drops/rises in indicators; * anomalous transactions, orders, customer behavior. - We add hints and recommendations: which actions are prioritized, where is the "gap", where is the opportunity. - We integrate results into dashboards and reports understandable to the business, not just to analysts. Results and metrics - The ability to make proactive decisions rather than "after the fact, when it has already happened". - More accurate planning: procurement, production, inventory, revenue. - Reduction of losses due to churn, downtime, ineffective promotions. Methodology - We start with specific business questions: "what do you want to be able to predict and why". - We analyze available data, quality, and depth of history. - We build and test initial models on your real data, not on a demo set. - We package results into understandable artifacts: dashboards, reports, alerts, action scenarios.
Process Automation
Who we help and what problem we solve For businesses where processes are already described or at least understood, but are performed manually: through emails, messengers, Excel, document forwarding. We need routine tasks to "run themselves", allowing people to focus on exceptions and development, rather than task management. What we specifically do - We identify and describe key processes: * from application to invoice and shipment; * from incident to resolution; * from lead to deal; * from inquiry to closing document. - We design and implement end-to-end automation scenarios: * approval routes, task assignment and redistribution; * automatic notifications and reminders; * triggers based on events (document created, status changed, deadline expired). - We use AI components where they provide a boost: * auto-classification of requests and inquiries; * hints for the next step; * prioritization of queues based on risks and effects. - We integrate automation into existing systems and interfaces (portals, web services, mobile applications). Results and metrics - Reduction of process completion time, decrease in the number of "stuck" tasks. - Less manual coordination and correspondence about "who is responsible for this". - Transparency: it is clear where the bottlenecks are, who is slowing down, where the risks of SLA violations are. Methodology - We start with 1-2 priority processes where the effect is maximal and quickly visible. - We build visual flowcharts, align them with the business and IT. - We implement automation iteratively: quick pilot → refinement → scaling. - We prepare clear dashboards on processes: completion time, number of tasks, SLA, workload.