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Four formats for adopting AI: from a 30-minute intro call to an architect-partner

For company owners with roughly €300K+ in revenue. With every format you see the price, the result you walk away with, and the guarantee upfront.

Want not a one-off rollout, but for your team to learn to assemble AI employees on its own? That is the intensive "AI HQ" →

§ 06 / METHOD

How we work

// FOUR INTEGRATION AXES

From the first 30-minute intro call to an AI loop live in production. No "let's try to make a demo," only payoff in numbers at every step.

STEP 01

Intro call · 30 minutes

Five questions for first contact: the size of the business, the AI tools already in use, what is automated or done by hand, the main recurring pain, readiness for a pilot. The outcome is one of three verdicts: we go into a deep review, it is early (start with basic automation without AI first), or I am not the right consultant for you.

STEP 02

Deep review · 90 minutes

A deep diagnosis of the business through the lens of AI readiness. Eight blocks: context, operations, leads, content, data, processes, team, success criteria. The outcome is 2-3 first vectors for automation with an estimate of the effect in euros, hours, and payback percentage.

STEP 03

Pilot · 4-6 weeks

One loop from breaking down the processes to a launched solution with payoff in numbers: an AI helper for sales managers, contract-to-payment control, project documentation review, an AI accountant, CRM-to-1C synchronization. Transparent metrics before and after.

STEP 04

Architect on retainer

After the first loop, a long partnership. Architecture for the next rollouts, team reviews, connecting new agents. So each next loop is not built from scratch but stands on a ready foundation.

§ 06 / VISION

6 months after your first pipeline

// SUCCESS MAP

What changes in your business - concrete, not 'transformation'.

T+180d
// LIMASSOL · CYPRUS · WORK FROM ANYWHERE
T+30d

20-40 hours per week freed up

CRM↔ERP reconciliation, Excel exports, repetitive emails, routine contract review - closed by AI agents. The freed-up time goes to strategy, product, and people.

T+60d

One pipeline running in production

Not 'a Claude demo', not 'we tried ChatGPT'. A stable process with KPIs before and after, which your team maintains and improves on its own.

T+90d

Team is not afraid of AI - writes its own prompt templates

It starts with one champion: someone willing to try. In 4-6 weeks they show results, and the rest follow. In 6 months you have 3-5 people working comfortably with AI as a tool.

T+120d

Architecture ready for the next 2-3 pipelines

Personal OS, MCP servers, agents, observability - all in place. The next pipeline isn't built from scratch - it lands on a ready foundation. The 'idea → production' cycle shrinks from months to weeks.

T+150d

Decisions made on data, not gut feeling

Quarterly retro shows which bets paid off and which were a waste. Not 'we need to work better' - concrete numbers driving the next decision.

§ 07 / PRACTICE

Cases

// CLIENT SCENARIOS

Names and recognizable details have been changed for privacy. Some cases are active pilots where "before / after" metrics are currently being formed.

CASE 01
confidential
SCENARIO-01

B2B distribution of construction components - four AI pipelines

ARRIVED:

Manufacturing and distribution company. Manual sync between CRM↔1C consumes hours of managers' time. Pricing is recalculated in Excel from scratch every single time. Two major clients are failing to pay, products are stuck in the warehouse - no one is tracking the contract-to-payment link systematically.

INSIGHT:

«No need for one huge AI project. We need four small pipelines: contract-to-payment control, an AI sales assistant, verification of project documentation, and 1C↔CRM sync. Each pays off on its own.»

OUTCOME:

A pilot of the "contract-to-payment" pipeline has been launched. The payback hypothesis: a single saved shipment covers the entire cost of implementation. The remaining three pipelines are queued for rollout.

CASE 02
confidential
SCENARIO-02

Dairy plant - deep dive before pilot

ARRIVED:

Regional production. Bitrix24 + 1C, manual work in between. Pricing is handled via Excel modeling with manual data collection. Deep knowledge about clients is in the heads of sales managers, not in the system. No working capital deficit forecast.

INSIGHT:

«Before embedding AI, we need to understand what data is actually available for models. A complete deep dive with the team: where the data is, where it is missing, what can be aggregated, and where the automation priorities lie.»

OUTCOME:

The output of the deep dive is three automation directions with impact estimation (an AI agent to transcribe managers' calls, Bitrix24↔1C sync, and cash flow deficit forecasting). The first pipeline is currently being chosen for a pilot.

CASE 03
confidential
SCENARIO-03

Partnership with a consulting agency - architect on top of sales

ARRIVED:

Regional consulting agency. Clients have specific requests for AI implementation. The team has a strong sales department and management consulting, but no engineering hands for AI.

INSIGHT:

«Not a single one-off client, but a partnership format. I come in as an architect on top of their existing expertise. They sell and maintain relationships with clients, I design the AI implementation architecture.»

OUTCOME:

A joint program has been launched: a shared product + pilots for the agency's clients. An agency format of 60/40 on the first deals. The plan is to transition to an architect-on-retainer model in the second year.

CASE 04
confidential
SCENARIO-04

Owner with three businesses - POS as a decision machine

ARRIVED:

An owner runs three businesses in parallel. Energy is scattered, and decisions in each project are made impulsively. At the quarterly retro, it is impossible to recall why we chose this over that - and what actually paid off.

INSIGHT:

«Instead of splitting or merging projects, we build a single "decision operating system." Every decision is logged as a bet: money + time + risk + opportunity. An AI agent compiles a card for each bet; during the retro, it is clear which ones paid off and which were a waste.»

OUTCOME:

We rolled out a POS through MyOS, a personal knowledge repository - a single database and AI agents for all three businesses. At the quarterly retro, for the first time, it is clear which bets paid off and which were a waste. Decisions are no longer "lost" between projects. Setup as a standalone service, from €2 500.

§ FILTER

A fit or not

// FIT CRITERIA
STATUS: NO

I am not a fit for you if

  • ✕ you are looking for a magic button that does everything on its own
  • ✕ you want to just hand everything to AI without sorting out the processes
  • ✕ you need an infoproduct and a marathon about 500 neural networks
  • ✕ you are not ready to look at the numbers before and after
  • ✕ you are not ready to set aside your team's time for a pilot
STATUS: YES

I am a fit for you if

  • → you want AI to pay off, not just look good in a demo
  • → you are ready for a pilot where the result is defined in advance
  • → you want to win back hours and money, not pick up one more tool
  • → you want to work faster and cheaper than your peers in the market
  • → you are ready to adopt AI seriously, not try it once a quarter
§ 09 / SERVICES

Work formats

// PRODUCT LADDER

Four formats - from a 30-minute introduction to an architect-partner of your company. Each format has a fixed price, an explicit outcome, an explicit guarantee, and a hard limit on client slots per week or month.

POPULAR ENTRY POINT
L-01

Introduction call

→ OUTCOME

You leave with a direct answer 'are we a fit or not' and one direction to try

Free
first contact
DURATION
30 minutes
AVAILABILITY
5 slots per week

30 minutes online. No presentations, no sales, no pressure. One question that holds you right now, and a direct answer - whether it makes sense to dig together.

WHAT IS INCLUDED
  • 30 minutes 1-on-1 online (Zoom)
  • One question that holds you right now
  • Direct answer: are we a fit, and where to dig
⛨ GUARANTEE

If I cannot name a concrete direction within 30 minutes - I write a 1-page review of your question in DM for free

BOOK A SLOT →
Anyone reaching out for the first time
L-02

AI Business Teardown

→ OUTCOME

You leave with 2-3 automation vectors, impact in € and hours, and a roll-out priority

€700
paid upfront
DURATION
90-min call + 2h prep from my side
AVAILABILITY
3 teardowns per month - more would compromise prep quality

90 minutes of deep diagnostics, with preparation on your materials from my side before the call. We examine your company through the lens of AI readiness across eight blocks.

WHAT IS INCLUDED
  • Pre-call form (15 min of your time) + your review by my hands 2 hours before the call
  • 90 minutes across 8 blocks: context → operations → leads → content → data → processes → team → success criteria
  • 2-3 first automation vectors with impact in € and hours
  • Roll-out priority: what first, what second, what not to do
  • Recording + transcript + executive summary within 48 hours
+ BONUS
  • Personal OS installation on your laptop - standalone value from €2 500
⛨ GUARANTEE

If I do not deliver at least 2 concrete vectors with impact estimates in € and hours - full refund, all materials and recording stay with you

BOOK A SLOT →
Owners of companies €300K+ revenue, ready for the first AI pipeline
L-03

AI Pipeline Pilot

→ OUTCOME

An AI pipeline running in production with KPI fixed before and after - in 4-6 weeks

from €2 500
staged payment 30/40/30
DURATION
4-6 weeks
AVAILABILITY
Maximum 2 parallel pilots per quarter

One pipeline turnkey: sales rep assistant / contract↔payment control / project documentation verification / AI accountant / CRM↔1C sync. KPIs are fixed in writing before kickoff - measured before and after.

WHAT IS INCLUDED
  • Deep process review on the chosen pipeline
  • Solution architecture: diagram, tools, integration points
  • Development and production launch of the pipeline
  • KPIs fixed in writing BEFORE kickoff - measured before and after
  • 30 days of support after launch
+ BONUS
  • First month of 'Architect on retainer' included - standalone value from €1 500
  • Personal OS for a team of up to 5 (decision loop + dashboard) - standalone value from €2 500
⛨ GUARANTEE

KPIs fixed in writing in the contract. If not met by the end - 30% final tranche refund

DISCUSS AT THE CALL →
Companies ready for their first AI pipeline with measurable ROI
L-04

Architect on retainer

→ OUTCOME

Every next AI pipeline lands on a ready foundation, not built from scratch

from €1 500
per month
DURATION
Monthly retainer, open-ended
AVAILABILITY
Maximum 3 concurrent clients - otherwise architecture quality drops

Long-term partnership on company's AI strategy. Architecture of the next implementations, team code reviews, targeted development, direct Telegram line. Not a one-off consult - a line of transformation.

WHAT IS INCLUDED
  • Architecture of the next AI implementations (your roadmap, not mine)
  • Code and decision reviews for your team - 2-3 times a month
  • Direct Telegram line + 1 strategic call per month
  • Plug-in of my ready-made AI agents (meeting watcher, devil's advocate, competitor watcher)
  • Targeted development of specialized agents for your task
+ BONUS
  • Personal OS for your whole team, no seat limits - standalone value from €5 000
⛨ GUARANTEE

First month is pro-rata: we can stop at any moment, you only pay for actual days

DISCUSS AT THE CALL →
Companies that need full transformation support - not one pipeline, but a line of architecture
§ 11b / GUARANTEE

Guarantee across all paid formats

// RISK TRANSFER

Money back

If the outcome stated on the format card is not met - refund per the format's condition (100% or 30% of the final tranche)

Materials stay with you

Recording, transcript, summary, prompt templates - yours even if money is refunded. You don't lose anything

KPI before after

KPIs fixed in writing

Not 'let's try a demo', but concrete metrics before pilot kickoff. Measured before and after

§ 09b / OBJECTIONS

Frequently asked

// WHAT YOU WANTED TO ASK

Objections that come up on every other introduction call. I answer directly - before we even talk.

Q-01

Why a €700 teardown if pilots start from €2 500?

It's a ladder, not an alternative. A free intro call (30 minutes) = whether we're a fit and worth digging in. €700 = deep teardown with prep, 2-3 automation vectors and a roll-out priority. From €2 500 = launching an AI pipeline in production. Each step closes its own question. If the teardown makes it clear you need a pipeline - we move up.

Q-02

AI is hype, it will crash in a year

Maybe. That's why I don't sell 'neural networks'. I sell launched processes with KPIs before and after. If a pipeline doesn't deliver measurable returns - 30% of the final tranche is refunded per contract. The hype will end - the process will remain.

Q-03

Our business is unique, AI won't fit

I've worked with dairy production, B2B distribution of building materials, meat processing, a psychologists marketplace, automotive services, and consulting. In each, the first pipeline pays back in 3-5 months. If in your case it won't pay back - I'll tell you straight at the teardown.

Q-04

We have no time for another project

The first pipeline takes 4-8 hours of your time over 4-6 weeks. After that, it frees up 10+ hours per week. It's a time investment with payback in 2-3 months. If there's no payback - KPIs are fixed in the contract.

Q-05

The team won't handle it - everyone is afraid of AI

Half my work is removing resistance. I start with one champion: someone willing to try. In 4-6 weeks they show results, the rest catch up on their own. This is the coaching layer of the program, and without it no implementation works.

Q-06

How is our data protected?

Sensitive processes run on local models (Ollama, Qwen) - data doesn't leave your perimeter. Where it's safe - we use Claude/Codex with explicit control. NDA, meeting confidentiality, client names never published. It's a baseline condition, not a premium option.