# AVK Group — Full Content AVK Group is a Barcelona-based, founder-led data & AI agency for growing companies (8–100 people), founded by Aleksandr Kudriavtsev (ex-Badoo London, MY.GAMES, IZDAT). Services: business process audits, BI dashboards, AI assistants, and process automation. Works with clients worldwide. Discovery call is free; clients receive a written breakdown either way. > This is the complete content of https://www.avkgroup.org > Auto-generated from locale files. --- ## About **Aleksandr Kudriavtsev** — Founder · Performance Marketing → Head of Marketing → CMO → AI Tools 10 years in analytics and marketing. Badoo (London) — performance marketing, predictive models, unit economics. MY.GAMES — Head of Marketing: BI dashboards, financial models, team management. IZDAT Venture Studio (Barcelona) — CMO. My entire career I've been counting money in business: where clients come from, why they leave, where margin gets lost. Built dashboards, managed budgets, made data-driven decisions. This experience isn't background — it's the foundation of what we do now. Since 2024 — AI and process automation. AVK Group is a small team built around this practice: I lead every engagement personally, and bring in trusted specialists — engineers, integrators, designers — when the project calls for it. You always know who's responsible. You always get senior attention. Location: Barcelona. Remote. Languages: EN. --- ## The Problem AVK Group — a founder-led data & AI agency for companies of 8–100 people. Process audits, dashboards, AI assistants in your team's chats. Discovery call is free. ### Pain Points **1. "I work 14 hours a day because nothing moves without me"** You're simultaneously the top salesperson, CFO, HR, and firefighter. No time for strategy. Classic owner-led business that outgrew "I control everything" but hasn't built systems yet. 75% of companies say knowledge preservation is a priority — yet only 9% feel ready to address it (Deloitte Global Human Capital Trends). **2. "If my key person leaves — everything collapses"** One person knows the accounting system. Another is the only closer. A third holds all client logic in their head. The "golden monkey" — an irreplaceable employee who holds the owner hostage. In Europe this amplifies: firing is expensive and slow, dependency grows. Per Gallup — 48% of companies lose institutional knowledge with each departure. Replacement costs 50–200% of annual salary (SHRM, 2025). **3. "We have a CRM, but it's a mess"** Managers run deals however they want, half the fields are empty, the real funnel is a mystery. Marketing says '300 leads', sales says '200', database shows 150. Managers chat on personal WhatsApp, enter CRM data retroactively. Per Johnny Grow (2025) — up to 55% of CRM implementations fail to meet objectives. 43% of users employ less than half the features. **4. "Hiring is expensive, firing is impossible"** Taxes add 30-50% to salary. A bad hire costs months. Firing under EU labor law is a quest. Real cost of an employee in Europe: +35–53% on top of salary in taxes and contributions (OECD, 2025: avg wedge 34.9%, Belgium — 52.6%). Cost of a bad hire — up to 30% of annual salary (U.S. Dept of Labor). In Europe, with labor law protections — can be significantly higher. **5. "No idea what's actually happening inside the business"** P&L once a month in Excel. Can't see what people are doing. No clarity on which projects are profitable. 90% of IT leaders report business challenges from data silos (MuleSoft, 2025). Decisions are based on fragments, not the full picture. 'Like a ship captain without a compass.' --- ## Method **Step 1: Collect digital footprint** Everything that already exists: calls, chats, CRM, spreadsheets, financial data. We don't create new processes — we work with reality. **Step 2: Make processes visible** Where are the real handoffs, delays, duplications, critical dependencies on specific people. **Step 3: Count in money** Not 'this is suboptimal' — but 'you're losing X euros per month here, and here's why.' When the problem is in money — decisions change. **Step 4: Enhance with AI tools** Not everywhere. Only where simple tools fall short: call analysis, connecting sources, natural language queries. **Step 5: Iterate** Observed → collected → improved → measured → next step. Each iteration — a concrete, measurable result. --- ## Case Studies Names and details changed. Numbers reflect real magnitude. ### Service company, ~25 people — "CRM mess" Problem: Managers ran deals in WhatsApp, CRM was 30% filled. Real funnel — a mystery. Leads got lost between channels. Action: Set up call transcription that auto-filled the CRM and flagged forgotten clients. (Scope varied by engagement — not every project covers all of this.) Results: Response time: 10h → 2h, Conversion: +4pp, Lost leads: ↓80%. ### Logistics company, ~40 people — "Everything in Sergey's head" Problem: One person knew all routing logic and pricing. Without him, orders took 3x longer. Can't fire him — if he's sick, collapse. Action: Extracted knowledge into a base via interviews and chat analysis → built AI assistant for managers → route utilization dashboard. Results: Processing time: ↓40%, Dependency on Sergey: ↓, Margin: +8%. ### Rental business, ~15 people — "Notebook, WhatsApp, and chaos" Problem: Fleet of 100+ vehicles, long-term rentals, repair workshop. Orders in a notebook, payments in the manager's head, repair status — 'call the mechanic.' Who's paying, who owes, which bike is where — nobody knows. Action: Rebuilt the existing admin panel: fixed orders and contracts → added payment tracking with automatic reminders → built repair workshop with queue and parts inventory → fleet tracking → revenue and debtor dashboard. Results: Processing time: ↓70%, Payment visibility: 100%, Losses from 'forgotten' debtors: →0. ### IT project, ~10 people — "5 tools, zero visibility" Problem: Tasks in one place, code in another, meetings in a third, discussions in a fourth, metrics in a fifth. To understand project status — check 5 places. Nobody does, risks are spotted late. Action: Built a system of AI agents: auto-collection from all sources → daily synthesis into a single report → risk and blocker alerts → communication via Telegram bot. Results: Time on status updates: ↓90%, Sources in one window: 5→1, Missed risks: →0. ### B2B service provider, ~30 people — "800 calls nobody listened to" Problem: Sales team makes hundreds of calls per week. Recordings are stored but never analyzed. Why clients churn after onboarding — a mystery. Major deals stall for no apparent reason. Action: Ran 800+ recordings through AI analysis: classification by type → churn pattern detection → key account journey mapping → report with specific amounts at risk. Results: Found at risk: €1.3M, Post-sale retention: 50% → root cause found, Calls analyzed: 800+. --- ## Pricing | Tier | Price | Description | |------|-------|-------------| | Call | 1 hour | One hour with Alex, the founder. He asks questions, you tell him about your business. Honest answer: can we help or not. Within 48 hours you'll receive a written breakdown: what we discussed, what we noticed, what ideas came after. | | First week | €1.5–2.5k | 5 working days. Alex leads, our team plugs in where useful: digital footprint dive, first tools, process map, first metrics. | | Full month | €5–8k | Full cycle delivered by our team. May include: process audit, unit economics, AI enhancement, dashboards, AI assistants in chats — scope agreed upfront. | | Ongoing | €2–3k/mo | Long-term partner: support, small enhancements and tooling adjustments, bottleneck audits — agreed scope per month, with Alex as your single point of contact. | Can stop here. You keep everything. --- ## About People We don't come in to say 'your employees are bad.' We come in to show that the system forces good people to work suboptimally. Extract informal expertise — what people know but isn't documented anywhere Reduce dependency on specific people — not devaluing them, but insuring the business Find where the system prevents good people from working effectively When the system improves — the same people typically have less friction 42% of turnover is preventable (Gallup). The main loss isn't salary — it's knowledge. Replacing an employee costs 50–200% of their annual salary (SHRM, 2025). The problem is often not the people but the lack of clear responsibilities, protocols, and tools. When this is fixed — the same people typically have less friction. --- ## What This Is NOT | NOT | BUT | |-----|-----| | Not 'build your business turnkey without you' | Collaborative work, not outsourcing | | Not 'magical growth in a month' | Iterative process with measurable steps | | Not 'automate everything' | Only where there's measurable return | | Not 'AI theater for investors' | If AI isn't needed — we'll say so | | Not 'cut headcount' | System where people work more effectively | --- ## Who This Is For **We can help if:** Team of 5–100 people. Data exists — CRM, spreadsheets, chats, call recordings. At least one repeatable process — sales, onboarding, reporting. Already spending money on a problem that isn't getting solved. You'll be in the room — not three layers of approval. **Probably won't work if:** Business of 1–3 people. Nothing is recorded — no calls, no chats, no numbers. Can't provide access to CRM, email, or call recordings. The problem isn't processes — you need clients, capital, or a product. Can't dedicate 2–3 hours per week to participate. **Minimum viable digital footprint:** Where does work live? (CRM, chats, spreadsheets, email) Are calls recorded? Is there a spreadsheet/database with client statuses? Is there a financial data export? Are client conversations accessible? **What we need from you:** One responsible person — you or a delegate. Access to 2-3 data sources. 1-2 interviews with key people. Willingness to test hypotheses quickly. Readiness to face real numbers. 2-3 hours of your time per week. --- ## How The Call Works 1. You tell Alex about your business — as it is 2. He asks questions and listens 3. Together you look at where it hurts and what data exists 4. Honest answer: can we help or not 5. If yes — you discuss the first step 6. Within 48 hours — a written breakdown **What you get regardless:** An outside perspective — Alex may suggest something simpler than automation. A hypothesis on where to look for time and money leaks. Honest answer: is it even worth changing anything right now. --- ## Security & Data - **NDA:** Signed before work begins. All data — only for the task. - **Minimal access:** Only what's needed. Where possible — we work with copies. - **GDPR:** 49% of European businesses avoid AI over data concerns (Eurostat, 2025). That's why GDPR compliance is foundational, not optional. DPA available if needed. - **Everything is yours:** All tools, dashboards, knowledge bases — your property. --- ## FAQ **Do I need to change my CRM/ERP?** No. We work with what you have. If it's Excel — we start with Excel. System replacement usually isn't needed at the start. **What if everything is a mess?** Chaos is a typical starting point. Call recordings, chats, and a client spreadsheet are enough. **What if calls aren't being recorded?** We can point you toward tools that take a day to set up — you enable them, we guide. Meanwhile, we start working with what you already have: chats, CRM, spreadsheets. **Does this replace employees?** No — the goal is making your team more effective, not replacing them. The harder question — how your team finds out their calls are being transcribed without breaking trust — is yours to lead. Only the owner can credibly tell their team this; an outsider announcing it = trust catastrophe. Happy to talk through the pitfalls on the discovery call if it's relevant. **How much of my team's time does it take?** Minimal. One contact person, 2-3 hours per week. Plus 1-2 short interviews with key people. We handle the main work. **What do we keep afterwards?** Everything we built during your engagement is yours — working tools, dashboards, process maps, whatever was scoped. Even if we don't continue. **What if AI isn't needed after all?** Per BCG (2025), 60% of companies see minimal AI returns — usually because they deploy technology before fixing processes. Sometimes the right answer is to fix the process manually first. That's also a result. **Who actually does the work — Alex or a team?** AVK Group is a small founder-led team. Alex leads every engagement personally — he's your single point of contact and signs off on every deliverable. For specific work — engineering, integrations, design, security — we bring in trusted specialists from our network. You always get senior attention, and the responsibility is always with us. We need access to your data and people who know how the business actually works. It's a partnership, not outsourcing — but the load on your team is minimal. **How do you handle confidential data?** NDA before starting — standard practice. Minimal required access. Where possible, we work with data exports/copies. Data can be anonymized. Everything created is your property. After completion — access is revoked. **Can we start with just one problem?** Yes, and that's usually what we do. First week — enter through specific pain. One loop. One cycle. If results come — we expand. **Do you work with businesses outside Europe?** Main focus is Europe, with our team based in Barcelona. The method works for any service business with repeatable processes — we work remotely across time zones. Reach out, let's discuss. **Does the system work while I sleep?** If we built one for you, yes. That's a fully-built engagement (typically Full Month + Ongoing): agents run on your server, you get a morning report, anomaly flags, meeting transcripts, action items extracted. Not every project reaches this stage — we scope it explicitly per engagement. --- ## ROI Every employee wasting 20% of their time — that's 1 day per week. Multiply by your team. Here's what it costs. --- ## AI Positioning AI as copilot (human checks and guides) — +40% quality, +25% speed, +12% more tasks. AI as autopilot (blind trust) — minus 19pp accuracy. Dell'Acqua, McFowland, Mollick, Lakhani et al. · Only 17% of small EU firms use AI (Eurostat, 2025). The barrier isn't cost — it's expertise. - **McKinsey (Jan 2025):** Employees are 3× more likely to use AI than leaders expect. AI's value comes from amplifying people, not replacing them. - **BCG (Sep 2025):** Only 5% of companies achieve AI value at scale. 60% see minimal results. The difference is in the implementation method. - **Deloitte (Jan 2026):** 66% report productivity gains, but only 20% see revenue growth. Success belongs to those investing in people, not just algorithms. - **McKinsey (Nov 2025):** Only 6% qualify as 'AI high performers.' They maintain human-in-the-loop and rigorous output validation. --- ## What Changed Excel, dashboards, SQL — this was always processable Before language models, impossible to process systematically - **Call analysis at scale.** Process 500 recordings and get: which objections aren't being handled, where managers lose clients, who actually sells. Previously — an entire QA department. - **Natural language data queries.** 'How many clients did we lose?', 'What's the average deal size?' — no SQL, no analyst. - **Knowledge extraction from people's heads.** Interview → transcription → structured knowledge base. What lived in one head — now available to a new hire in days. - **Cross-source discrepancy detection.** CRM says 'deal in progress', but the client emailed 'we decided not to continue' — three weeks ago. Now — automatic detection. - **Automatic documentation.** Meeting summary, task list from standup, client follow-up. Previously — an hour after every meeting. Now — minutes. --- ## The Living System - 06:00 Morning check ran across 3 data sources — all normal - 07:30 Morning report generated → sent to Telegram - 09:15 Meeting 'Sales team standup' — transcribed - 09:45 Extracted 4 action items → assigned owners - 14:00 Detected 12% conversion drop over 3 days - 14:02 Notification sent to sales lead - 18:00 Daily summary: 3 new leads, 1 closed deal, 2 overdue **When fully built — runs daily:** Daily check, Auto-report, Meeting summary **On demand:** AI Assistant, Knowledge base All infrastructure runs on your server. Typical cost: $2.50–3.50 per day / ~€75–105 per month Your server, your data, your control. No third-party SaaS subscriptions. The AI adoption gap between SMBs and large businesses is widening (OECD, 2025) — this system closes it. --- ## Contact - Website: https://www.avkgroup.org - Telegram: @Gonzalles2009 - Location: Barcelona, Spain - Timezone: CET (Central European Time) - Discovery call: 1 hour, one hour ---