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AI advisor for service businesses

Your competitor just adopted AI. You'll find out after losing your first client.

Agencies, law firms, accounting offices, software houses — you all sell hours. AI multiplies them by 10. Three months behind is steady margin erosion and pipeline drift.

Book a Free AI Audit

Free 30-minute consultation. You leave with a concrete plan.

Cost

What's not having an AI strategy costing you?

01

Clients leave for AI-native competitors

An agency that delivers a brief in 4 hours instead of 4 days doesn't compete on price — it competes on time. Your client is already comparing, even if they don't tell you.

02

Your team burns hours on repetitive work

Junior, researcher, analyst — each spends 30-50% of their time on tasks AI does in 5 minutes. That's not inefficiency. That's your margin you're giving away for free.

03

Experimenting costs more than consulting

Your team tries ChatGPT, Zapier, Make, Claude, n8n, n+1. Each hour is an hour not billed. Multiply by team size and run the math.

04

You're adopting the wrong tools

Conference hype ≠ a tool that fits your processes. Adoption without an audit = subscription + onboarding + retraining + failure you blame on the whole AI hype, not the wrong tool.

Why me

AI isn't hype for me. It's my daily work — and the way I run my company.

I've been in tech since 2018 — first as a fullstack engineer, then backend and DevOps on petabytes of data. With language models I've been working since 2022, and today I specialize in AI agents. Six shipped products, a company built on agents, daily tool testing. I don't consult theory — I tell you what I do every day.

I test three to five new tools every week. You don't need to know what works — you just need someone who does.

In tech since 2018

Fullstack engineer, then backend and DevOps. I worked with petabytes of data, where reliability and precision were non-negotiable. That's the foundation most 2024 AI consultants don't have.

On LLMs since 2022

When GPT-3.5 flipped the market upside down, I went full-time into language models. Today I specialize in AI agents — designing them, testing them, and wiring them into real business processes.

Six AI products

CallWise, Metyra, CourseAI, Ask, Goose, AI Daily — each is AI shipped into a different vertical: sales, finance, education, accounting, eval, content.

Company built on AI

At Awesome Works, agents are wired into every stage: research, sales, brief, scope, code, review, deploy, content, and marketing. What I recommend to clients, I run on myself first.

Flow

How it works

01

30-min discovery call

You walk me through your workflow, tools, people. You tell me where it hurts most. I listen, I ask. No slides, no pitch.

02

Audit + decision list

You get a concrete map: what to adopt now, what to delay, what to skip. Each recommendation with estimated ROI, effort, and risk.

03

Optional: implementation

If you want, I do it with you — project or retainer. If you prefer to run it yourself, you have the map and know exactly where to go (and from whom to buy).

FAQ

Most common questions

How is this different from a generic AI consultant?

I'm not a reseller of any platform or partner of any SaaS. I sell 30 minutes of audit and a list of recommendations — not a subscription. After the call you know exactly what to adopt and from whom, even if it's not from me.

How do I know you actually know your stuff?

I've been in AI since 2018, I've shipped 6 AI products to production (see the carousel above), I write code daily alongside agents, and I advise service businesses across PL and EU. These aren't references on a slide — they're live deployments.

What do I get after the consultation?

A full audit pack — not one slide or a generic PDF, but a real decision-grade set of documents:

  • Current stack audit — what each of your tools actually does, where features overlap, where money is leaking.
  • AI recommendations roadmap — what to adopt now, what this quarter, what to delay. With reasoning, alternatives, and the cost of each decision.
  • ROI breakdown per use case — hours saved per week × rate × frequency, minus implementation cost. Real numbers, not vague estimates.
  • Implementation plan + risk register — sequence of moves, dependencies, what could go wrong, and how to handle it.

Plus a component diagram of your system — a visual map of processes and people in your company, with marked points where AI should plug in and in what form (off-the-shelf SaaS, automation, or custom build).

Is this for me? I run a small agency / law firm / accounting office.

Yes. Sweet spot is service businesses of 5-50 people. The more repetitive work your team has, the faster AI pays back as leverage. Solo? I can still help, but the ROI will be less dramatic.

What if we already use ChatGPT and a few AI tools?

Great — you have the foundation. The audit will show where you're leaving money on the table: missing integrations, expensive tools where a cheaper one would do, missing guardrails, unused APIs, manual handoffs ripe for automation.

Do we need a developer?

No. Some recommendations are ready-made SaaS without coding. Some require basic automation (Zapier, Make, n8n). Some — if you're building something custom — require a developer. I'll tell you which is which and whether it's worth it.

How much does implementation cost?

Depends what you adopt. Most starter tools are $20-150/month + 2-10 hours onboarding. Heavier automations are 2-8 week projects. The audit also gives you the cost map — you know exactly what each move requires.

What if I decide after the call not to adopt anything?

You still leave with a market map, a tool shortlist, knowledge of what to avoid, and an understanding of where competition might hit. That's more than most consultants deliver for money.

How long do recommendations take after the call?

You get the audit pack within 24 hours of the call. Short, concrete, action-oriented — not a 40-page report destined for a drawer.

What if I have more questions than fit in 30 minutes?

We set up a second call (paid, an hour) or a full audit project. 30 minutes is enough to identify the main bottlenecks and propose first moves.

Start

Your competitor is already reading my recommendations.

30 minutes is enough to know what to adopt, what to skip, and what it costs. No pitch. No slides.

Book a Free AI Audit

30 minutes, free. You walk out with a concrete plan: what to adopt, what to skip, what to delay.