Your business is leaking money. You just can't see where.
We make it visible. Then we help you close the leaks.
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.
What this is about
Employees spend up to 20% of their working time searching for information that already exists in the company. That's 8 hours per person per week — on routine instead of real work.
Sound familiar?
Check what applies.
"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).
"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).
"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.
"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.
"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.'
How much does your time cost
Every employee wasting 20% of their time — that's 1 day per week. Multiply by your team. Here's what it costs.
Parameters
Potential savings
Why it's the same everywhere
Tools appeared faster than instructions for them. CRM, task tracker, messenger, cloud — you were sold a subscription, but nobody explained how to connect them.
Nobody taught small business owners how to build systems. MBA is about strategy, not operations for a 15-person team.
Vendors sold tools, not solutions. Each covered their piece — but nobody was responsible for the whole.
Corporations have IT departments, CTOs, and integration budgets. You have — yourself, common sense, and Google.
This is a systemic market problem. Not a personal failure. And every day without a solution is a day you won't get back.

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.
What actually changed
What you could work with before
Excel, dashboards, SQL — this was always processable
What was invisible
Before language models, impossible to process systematically
What changes when everything connects
Why conversion dropped — the answer is in the calls
CRM + chats + calls = unified picture
200 calls in hours, not weeks
- 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.
Work Quality Index · Baseline = 100
HBS Working Paper 24-013, 2023 · 758 consultants BCG · confirmed: HBS 25-043 (2025, 776 P&G), McKinsey Superagency (2025, 3,613 people), BCG AI Value Gap (2025, 1,250+ firms)
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.
What McKinsey, BCG and Deloitte say in 2025–2026
- 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 we do
Phases per engagement depend on scope. Typically Phase 1–2 in Week 1; full pipeline across Full Month + Ongoing.
Examples from practice
Names and details changed. Numbers reflect real magnitude.
"CRM mess"
Managers ran deals in WhatsApp, CRM was 30% filled. Real funnel — a mystery. Leads got lost between channels.
Set up call transcription that auto-filled the CRM and flagged forgotten clients. (Scope varied by engagement — not every project covers all of this.)
"Everything in Sergey's head"
One person knew all routing logic and pricing. Without him, orders took 3x longer. Can't fire him — if he's sick, collapse.
Extracted knowledge into a base via interviews and chat analysis → built AI assistant for managers → route utilization dashboard.
"Notebook, WhatsApp, and chaos"
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.
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.
"5 tools, zero visibility"
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.
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.
"800 calls nobody listened to"
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.
Ran 800+ recordings through AI analysis: classification by type → churn pattern detection → key account journey mapping → report with specific amounts at risk.
How it works
Data is illustrative. Your system will be configured for your business.
Who this is for
Check what applies
We can help if:
Probably won't work if:
Alternatives
| Do nothing | Hire analyst | SaaS | Consulting | AVK | |
|---|---|---|---|---|---|
| Cost to start | €0 | €2-4K/mo + search | €50-500/mo | €10-20K | €0 |
| Time to first diagnostic | Never | 2-4 mo | 1-2 mo (if you set it up) | 1-3 mo | 1 week |
| Need to figure it out yourself | — | No, but you manage | Yes | No | No |
| Tailored to your business | — | Yes (over time) | No, templates | Yes (for the price) | Yes |
| What stays after | — | Leaves = start over | Subscription | Everything yours | |
| Can stop | — | Hard (labor law) | Yes | Contract | Yes |
| Risk | Losses grow | Wrong hire | Won't set up | Expensive, won't implement | Won't adopt |
Honest comparison. Every option has its pros and cons.
How it works — money and time
If we decide to work together:
FAQ
No. We work with what you have. If it's Excel — we start with Excel. System replacement usually isn't needed at the start.
Chaos is a typical starting point. Call recordings, chats, and a client spreadsheet are enough.
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.
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.
Minimal. One contact person, 2-3 hours per week. Plus 1-2 short interviews with key people. We handle the main work.
Everything we built during your engagement is yours — working tools, dashboards, process maps, whatever was scoped. Even if we don't continue.
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.
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.
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.
Yes, and that's usually what we do. First week — enter through specific pain. One loop. One cycle. If results come — we expand.
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.
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.
How the call works
One hour, one-on-one with Alex, the founder. We figure out if we're a fit.
You tell Alex about your business — as it is
He asks questions and listens
Together you look at where it hurts and what data exists
Honest answer: can we help or not
If yes — you discuss the first step
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
What's in the breakdown:
- 1.What you shared — key topics, pain points, numbers from the conversation
- 2.What we spotted — observations and recommendations given in the moment
- 3.What we noticed during the call — observations and connections worth recording
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.