AI Services for Business

Every incoming invoice triggers a chain of manual steps: find the email, download the PDF, transfer data to a spreadsheet, notify the responsible person. When there are dozens of invoices a month, an accountant or finance specialist spends hours on this routine. Errors occur and documents get lost in the process.

The system automatically monitors incoming invoice emails, saves files to Google Drive, and extracts key data: number, date, amount, counterparty, and purpose. Everything goes directly into a consolidated registry. The responsible person receives an instant Telegram notification for every new invoice.

✓ Invoice registry in Google Sheets with columns: number, date, amount, counterparty, purpose, status
✓ Structured PDF storage in Google Drive (folders by month and counterparty)
✓ Telegram notifications to the accounting channel in the format: "New invoice from [Counterparty] for [Amount]"
✓ Processing log for each email with timestamp for audit purposes

• Processing time per invoice drops from 10–15 minutes to 1–2 minutes
• Manual data entry errors eliminated
• Real-time registry updated without human involvement

✓ Invoice registry in Google Sheets with columns: number, date, amount, counterparty, purpose, status
✓ Structured PDF storage in Google Drive (folders by month and counterparty)
✓ Telegram notifications to the accounting channel in the format: "New invoice from [Counterparty] for [Amount]"
✓ Processing log for each email with timestamp for audit purposes

Account managers at service companies handle dozens of clients and receive hundreds of messages daily across email, Slack, and Teams. Early signs of dissatisfaction often get lost in the stream. By the time a client finally writes "let's discuss our partnership," it's usually too late to save the situation.

The system aggregates client communications from all channels daily, analyzing tone, sentiment dynamics, complaint frequency, and recurring topics. It identifies clients with a growing churn risk and sends an alert to the account manager with context: what happened, which complaint topics are accumulating, and how the situation can be addressed.

✓ PowerBI dashboard across the client portfolio with risk scoring
✓ Client card for each account: sentiment trend, complaint topics, key quotes
✓ Account manager alerts for sharp shifts in communication tone
✓ Quarterly report with strategic insights for leadership

• At-risk client identified 2–4 weeks before churn
• Churn reduced by 15–25%
• Account manager sees the full portfolio picture without re-reading every message

✓ PowerBI dashboard across the client portfolio with risk scoring
✓ Client card for each account: sentiment trend, complaint topics, key quotes
✓ Account manager alerts for sharp shifts in communication tone
✓ Quarterly report with strategic insights for leadership

The sales team receives incoming leads from various sources: forms, ads, demo requests, referrals. Lead quality varies widely, but there's no time for manual scoring — managers take the first leads in the queue. High-intent leads get lost in the flow, SQL conversion stagnates, and expensive ads underperform.

As soon as a new lead comes in, the agent pulls all context from the CRM (interaction history, previous deals, similar accounts, firmographic data). It scores the lead from 0 to 100 using a model that accounts for behavioral and demographic signals. High-priority requests go to managers first, with a suggested next best action.

✓ Score for each lead (0–100) with explanation of key factors
✓ Prioritized queue in CRM — hot leads at the top
✓ Manager notification for leads scoring >80
✓ Dashboard on lead quality by source and conversion to SQL

• Lead qualification time reduced by 2–3x
• SQL conversion +15–25%
• Managers focus on the highest-potential leads

✓ Score for each lead (0–100) with explanation of key factors
✓ Prioritized queue in CRM — hot leads at the top
✓ Manager notification for leads scoring >80
✓ Dashboard on lead quality by source and conversion to SQL

A link building specialist opens dozens of donor sites daily, checking each against a checklist: topic relevance, content quality, compliance with requirements, risks. One site takes 10–20 minutes, which adds up to hundreds of hours per month across the team. Decisions are often subjective.

The tool processes a list of candidate URLs: opens each page, analyzes it against your internal checklist criteria, and delivers a structured verdict — suitable or not, with an explanation for each criterion. The specialist sees a ready assessment and only spends time on the final call for borderline cases.

✓ Google Sheets with analysis results: URL, topic, verdict, score per criterion, comments
✓ Flagged problem items (link farms, mirrors, irrelevant topics)
✓ Candidate ranking by overall score
✓ Alerts for bulk batch rejections

• Site analysis time drops from 15 minutes to 5 seconds
• Analyst can process 500+ sites instead of 30–40 per day
• Unified criteria — fewer subjective decisions

✓ Google Sheets with analysis results: URL, topic, verdict, score per criterion, comments
✓ Flagged problem items (link farms, mirrors, irrelevant topics)
✓ Candidate ranking by overall score
✓ Alerts for bulk batch rejections

The sales manager doesn't have time to listen to dozens of hours of calls per week. Managers write follow-ups on their own — sometimes only after 1–2 days, sometimes without capturing key agreements. Lead handling quality is uncontrolled, and weak spots in negotiations only become visible once a deal has already fallen through.

The system automatically pulls the recording or transcript of each meeting, evaluates it against internal quality criteria (structure, needs discovery, objection handling, agreements), assesses the client's level of interest, and generates a ready follow-up for the manager. The team lead sees a consolidated dashboard with scores for each manager and case.

✓ Report per meeting: quality score, lead scoring, key points, risks
✓ Ready follow-up email draft with captured agreements and next steps
✓ Dashboard with manager rankings by period (average score, win rate, response time)
✓ Team lead alerts for critical calls (low score / hot lead)

• Follow-up preparation time drops from 30–45 min to 3–5 min per manager
• Team lead gets an objective assessment of 100% of calls instead of a selective sample
• Higher lead handling quality — fewer lost deals due to weak follow-up

✓ Report per meeting: quality score, lead scoring, key points, risks
✓ Ready follow-up email draft with captured agreements and next steps
✓ Dashboard with manager rankings by period (average score, win rate, response time)
✓ Team lead alerts for critical calls (low score / hot lead)

CFOs are forced to sort through raw data extracts from accounting software, spending days trying to isolate where budgets were exceeded, which cost centers expanded, or if malicious transactions slipped through. Manual reviews regularly miss long-tail anomalies, causing reactions to financial leakages to be delayed by months.

The agent automatically extracts expense data from accounting platforms monthly (or on-demand), weighs it against planned budgets and historical baselines, highlights lines showing the largest deviations, checks for unusual activity (atypical amounts, unverified vendors), and compiles an actionable brief. The CFO reviews a finalized summary instead of digging through rows of raw data.

✓ Monthly expense briefs: variance analysis (plan vs. actual), top 10 cost increases and drops.
✓ Flagged anomaly lists detailing exactly why specific line items warrant review.
✓ Optimization recommendations for cost lines (complete with projected savings metrics).
✓ Trend analysis dashboards charting primary expense items across 6–12 months.

• Month-end analysis time drops from 2–3 days to 2–4 hours.
• Financial anomalies are flagged during ledger closing rather than a quarter later.
• Triggers a 5–15% budget savings yield via proactive leak mitigation.

✓ Monthly expense briefs: variance analysis (plan vs. actual), top 10 cost increases and drops.
✓ Flagged anomaly lists detailing exactly why specific line items warrant review.
✓ Optimization recommendations for cost lines (complete with projected savings metrics).
✓ Trend analysis dashboards charting primary expense items across 6–12 months.

Sales teams manually check public portals like Prozorro, UA-Tenders, or SmartTender, searching by keywords, opening individual listings, analyzing thick terms blocks, and passing files to legal for compliance. This takes 1–2 hours daily, yet half of all viable contracts are still missed due to overly restrictive or misaligned keyword searches.

The bot crawls target procurement platforms hourly based on your Ideal Customer Profile (ICP), filtering out noise. Using AI, it scans bid specifications to pull core data parameters: scope, budget parameters, key deadlines, and supplier restrictions. It pushes a scannable digest directly to Telegram featuring summary cards and a "Track Bid" button. The bot then monitors all ongoing status modifications.

✓ Telegram-based interface serving a curated feed of matching contract opportunities.
✓ Concise tender breakdown profiles: project scope, buyer entity, budget, deadline, and compliance risks.
✓ One-click subscriptions to follow status updates for specific target listings.
✓ Pipeline dashboards mapping active bids and current procedural phases.

• Procurement tracking takes 5 minutes daily instead of 1–2 hours.
• Increases the total volume of high-yield contract opportunities entering the sales pipeline.
• Eliminates missed document filing deadlines entirely.

✓ Telegram-based interface serving a curated feed of matching contract opportunities.
✓ Concise tender breakdown profiles: project scope, buyer entity, budget, deadline, and compliance risks.
✓ One-click subscriptions to follow status updates for specific target listings.
✓ Pipeline dashboards mapping active bids and current procedural phases.

Sales reps burn half a workday on a single commercial offer: digging up CRM context, searching for relevant case studies, calculating quotes manually, and rewriting intros and value propositions. Consequently, outgoing offers vary wildly in execution quality, prospects experience friction due to delays, and pricing is often calculated arbitrarily.

The agent takes a client discovery brief and extracts supporting records from the CRM (interaction history, past proposals, business verticals). It maps these against corporate presentation layouts, runs pricing configurations through internal margin rules, and drafts a personalized intro alongside lookalike client success stories. It outputs a native PPTX/DOCX deck ready for a quick final review.

✓ Polished PPTX/DOCX sales asset aligned perfectly with brand style guides.
✓ Automated pricing generation tied directly to corporate financial matrices.
✓ Target-tailored introductory pitches contextualized to the prospect’s explicit business model.
✓ Case study inclusions selected automatically from a verified master asset library.

• Creation turnarounds drop from 3–4 hours down to 20–30 minutes.
• Presentation quality remains uniform regardless of an individual rep's design skills.
• Faster response times — proposals reach leads within 1 business day instead of 2–3.

✓ Polished PPTX/DOCX sales asset aligned perfectly with brand style guides.
✓ Automated pricing generation tied directly to corporate financial matrices.
✓ Target-tailored introductory pitches contextualized to the prospect’s explicit business model.
✓ Case study inclusions selected automatically from a verified master asset library.

Recruiters spend 3–5 minutes skimming every single resume just to gauge if a candidate warrants an initial phone screening. When a listing draws 100–500 applicants, initial vetting consumes days of effort. Fatigue and subjective bias naturally creep in, which often causes exceptional, non-traditional candidates to be overlooked.

The agent parses the core job description and the entire pool of applicant CVs. For each profile, it assesses hard technical competencies, soft skills, historical career trajectories, and potential resume red flags. It delivers a 1–100 suitability rating accompanied by a brief summary, ranking applicants by priority. Recruiters focus their attention directly on the top 30 pre-vetted candidates instead of digging through 300 raw submissions.

✓ Ranked applicant dashboards featuring clear qualifications scoring and core rationales.
✓ Structured profiles for every applicant: core stack, soft traits, and standout career achievements.
✓ Isolated applicant red flags (erratic job-hopping, unexplained gaps, missing requirements).
✓ Clean data exports into ATS/CRM hiring software for downstream scheduling.

• Candidate screening time drops from 3–5 minutes down to 10 seconds per resume.
• Boosts short-list quality by 25% by catching top talent hidden behind poor resume formatting.
• Accelerates overall Time-to-Hire metrics by 30–50%.

✓ Ranked applicant dashboards featuring clear qualifications scoring and core rationales.
✓ Structured profiles for every applicant: core stack, soft traits, and standout career achievements.
✓ Isolated applicant red flags (erratic job-hopping, unexplained gaps, missing requirements).
✓ Clean data exports into ATS/CRM hiring software for downstream scheduling.

Hiring managers open a candidate’s resume 10 minutes before a call and hurriedly write out questions. Due to a lack of preparation, they rely on generic interview questions. This limits evaluation depth, increases unconscious bias, and leads to hiring decisions made on "gut feeling" rather than objective criteria.

The agent analyzes the candidate’s CV alongside the target role requirements, mapping out explicit evaluation areas for that individual. It generates an individualized guide complete with targeted behavioral prompts, technical questions, situational case studies, and score rubrics. The interviewer steps into the session with a structured evaluation plan rather than an abstract set of questions.

✓ Tailored interview guides ready for use in Notion, Google Docs, or PDF format.
✓ Prompts grouped by core competencies, complete with clear grading guidelines.
✓ Role-specific situational testing scenarios adapted to the candidate’s actual seniority level.
✓ Centralized evaluation templates for compiling structured, actionable stakeholder feedback.

• Interview preparation time drops from 30–45 minutes down to 10 minutes.
• Elevates evaluation quality, generating structured data profiles for every candidate.
• Mitigates interview bias through unified tracking criteria across hiring loops.

✓ Tailored interview guides ready for use in Notion, Google Docs, or PDF format.
✓ Prompts grouped by core competencies, complete with clear grading guidelines.
✓ Role-specific situational testing scenarios adapted to the candidate’s actual seniority level.
✓ Centralized evaluation templates for compiling structured, actionable stakeholder feedback.

Small businesses often run operational tracking via Google Sheets. Operators update them manually: opening the spreadsheet, finding the right row, changing a status, and adding comments every single time. This is time-consuming, prone to errors, and because the process is inconvenient, employees frequently skip updating the data.

An operator messages Telegram: "Change order #125 to 'paid', supplier Ivanenko". The agent comprehends the request: finds the correct row in the spreadsheet, updates the data, appends a log comment, and sends back a confirmation. The sheet stays up-to-date without manual manager involvement.

✓ Telegram bot for operational updates.
✓ Automatic Google Sheets data updates.
✓ Action logs with user identification.
✓ Confirmation/rejection workflows for conflicting entries.

• Status update times are 3–5x faster.
• Spreadsheet accuracy skyrockets — managers see a real-time operational picture.
• Drastic reduction in manual data entry errors.

✓ Telegram bot for operational updates.
✓ Automatic Google Sheets data updates.
✓ Action logs with user identification.
✓ Confirmation/rejection workflows for conflicting entries.

Lawyers receive repetitive daily questions from business units: "Can we sign a contract with this client?", "What is the liability cap in our standard NDA?", "Did we have a similar case last year?". While answers exist within the archive of contracts and internal policies, searching for them takes at least half an hour every time.

The agent indexes your entire legal library — contracts, templates, policies, corporate guidelines, and precedents. A user (lawyer, financier, sales rep) asks a question in plain natural language, and the system instantly locates the relevant fragment, returning an answer complete with a link to the original document.

✓ Chat interface in Slack, Teams, or a dedicated web app.
✓ Answers featuring exact document citations and source links.
✓ Query logs to identify missing information gaps in the knowledge base.
✓ Role-based access control and data permissions.

• Response retrieval speeds increase 10-fold.
• Legal teams are freed from answering the same questions repeatedly.
• Business units benefit from self-service functionality for standard legal inquiries.

✓ Chat interface in Slack, Teams, or a dedicated web app.
✓ Answers featuring exact document citations and source links.
✓ Query logs to identify missing information gaps in the knowledge base.
✓ Role-based access control and data permissions.