AI Business Transformation

Hands-on practice from a business owner: Maksym Stepanenko runs his own companies on AI agents and brings the same approach to clients, from mapping your processes to agents working inside your CRM, email and documents.
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Led by Maksym Stepanenko, founder of Marketing MIX · Kyiv and Ottawa

Who leads

A business owner who works with agents every day

Maksym Stepanenko is the founder and director of Marketing MIX (Kyiv, since 2014). Since 2023 he has lived and worked in Ottawa, Canada, where he founded INNOVA CONSULT LTD.

He has 14+ years in law, marketing and business consulting and holds a master's degree in economic theory. For the past two years he has worked with AI and agents daily: they carry the day-to-day operations of his own companies.

That is why every engagement starts with the business: where the company loses time and money, which decisions the owner makes, what an agent can take over and where a person is needed.

  • 14+ yearslaw, marketing, business consulting
  • 2 yearsof daily hands-on work with AI agents in his own companies
  • Kyiv · OttawaMarketing MIX and INNOVA CONSULT LTD
How we work

How an AI transformation runs

  1. 01

    Process map

    Together with the owner and the team we trace how leads, documents, money and tasks move through the company. We find where AI pays off first and mark the areas that are better left to people.

  2. 02

    Pilot

    We take one process and automate it end to end on your own data. Before we start, we agree on what to measure: time per task, error count, response time to customers.

  3. 03

    Rollout

    Agents go live and connect to your CRM, email, documents and messengers. The team learns how to give an agent a task, check the result and act if something fails.

  4. 04

    Ongoing support

    We monitor output quality, model costs and data security. New processes are added once the previous ones run reliably.

Diagram: four stages of an AI business transformation — process map, pilot, rollout, ongoing support
Four stages of an AI transformation. After support is in place, the cycle repeats for the next process.
Use cases

Where AI delivers results

  • Leads and first response

    The agent takes a request from your website, email or messenger, clarifies the details, logs it in the CRM and replies to the customer within minutes.

  • Sales and follow-ups

    Reminds the manager of the next step, drafts a proposal from your template and keeps deals moving.

  • Documents

    Contracts, invoices, acts, tender paperwork: the agent assembles a draft from your templates and data, and an employee reviews and signs it.

  • Customer support

    Answers routine questions from the company knowledge base and hands complex cases to a person together with the full conversation history.

  • Reports and finance

    Sales, expense and payment summaries are compiled automatically and reach the owner on schedule.

  • Marketing

    Content plans, copy, publishing, ad analysis. Budget and positioning decisions stay with a person.

  • SEO and visibility in AI search

    We prepare your website so that ChatGPT, Gemini and Google AI Overviews mention your company. More on the AI search optimization page.

  • Company knowledge base

    Policies, price lists, contracts and correspondence are gathered into one base where agents and employees find answers.

Proof

What already runs in our own companies

Maksym built these systems for his own companies and projects. Almost all of it was assembled on a single workstation using the terminal and AI agents.

  • OSMOZG

    agent orchestrator

    Agents handle the company's day-to-day operations: sorting leads and email, preparing reports, creating and closing tasks. A person receives only the questions that need a decision.

  • muginai

    SEO platform

    Monitors about a hundred websites: rankings, indexing, errors, visibility in AI search. Based on search engine data, agents propose page edits.

  • AccountingOS

    AI bookkeeping

    Bookkeeping where agents process transactions and documents and a person checks the result.

  • UAFest festival CRM

    AI assistant inside the CRM

    Staff ask a question in plain words and get an answer about participant applications, tasks and contacts right in the CRM.

  • Work chat monitor

    agent

    Reads work chats, pulls out tasks and agreements, and sends reminders about anything left unanswered.

  • Purchasing agent

    agent

    Searches for the product or service you need, compares offers and negotiates price and terms with the seller by message.

Principles

Rules we stick to

  • Your data stays with you

    Access, databases and documents belong to the company. An agent gets only the permissions its task requires.

  • A person approves what matters

    Payments, signing documents and commitments to customers go ahead only after an employee confirms them.

  • Pilot and measure first

    We scale what has shown results on one process, with before-and-after numbers.

  • The team is trained

    Employees know what the agent does, how to check its work and whom to contact if something fails.

FAQ

Frequently asked questions

Where does an AI transformation start?

With a process map. In a session with the owner and key staff we find where most of the time goes and choose one process for the pilot.

Do we need our own IT team?

To get started, you need one person who knows the process and can grant access. We handle setup, integrations and team training.

Will agents replace employees?

Agents take over repetitive work: sorting requests, drafting documents, compiling summaries. People stay where decisions, negotiation and accountability are needed. Which areas remain with people is decided at the process-map stage.

How is company data protected?

Access is granted at the minimum level required, data stays on your side, and agent actions are logged. For sensitive data we choose models and hosting that meet your requirements.

Which systems can agents work with?

CRMs, email, messengers, spreadsheets, documents and accounting systems. If a system has an API or a data export, an agent can be connected to it.

How much does it cost and how long does it take?

It depends on the processes and the volume of data. We quote the cost and timeline of the pilot after the process map, once it is clear what exactly we are automating.

Based in Canada or the US? The same service for North American companies is on our international site: mmix.biz/ai.

Let's look at your processes

Tell us what your company does and which work you would like to hand over to agents. Maksym will reply.

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