How Effectix Cut Three Hours of Prospecting to One Prompt with the BizMachine AI (MCP) Connector
4.9.2026
5 minutes
reading time
4.9.2026
5 minutes
reading time
According to Effectix, preparing a list of twenty-five companies used to take a Business Development Manager up to three hours a day. Today the same result takes one prompt and about twenty minutes of review.
Effectix measures, tests and optimizes what it does for clients, and applies the same approach to its own internal processes.
The Business Development Managers used to look for new clients manually. They opened Prospector, built a filter, went through companies one by one, found a contact and a reason to reach out. Everything then had to be entered into the CRM. In their own words, it took each of them hours a day, and the results differed from person to person because everyone filtered a little differently.
Today a Business Development Manager writes a single prompt, in plain Czech if they like: “find me twenty e-commerce companies”. The rest runs automatically. The agent stops at only two points and asks whether it may continue. At the end, the Business Development Manager has the companies, contacts and a reason to reach out ready in Pipedrive.
Effectix is a digital agency that judges marketing by its impact on the business. For companies in the Czech Republic, Slovakia and the wider Central European region, it looks for the barriers to growth and connects brand with performance, because performance on its own sooner or later reaches its limit. Together with company leadership, it then works out where the next part of the budget should go and what can be scaled.
Effectix applies the same logic to its own operations. Its AI division, re:LLMO, looks for the places in the agency where routine work takes the time that people should be spending on preparing for a client and on decisions about that client’s growth. The automations were built for everyday work on client projects, and marketers outside the agency use them today as well.
Effectix started by mapping its own sales process. The team knows every point of contact with a customer, what can and cannot be automated, and above all what takes the most time. The answer was clear: preparation.
The automation is not there to produce more leads. It gives back the time that used to go into filtering, so the team can spend it on preparing for a specific company: what is happening there, where it has room to improve, and what will actually help. That time then goes into a solution built for that company.
Effectix targets its offers as precisely as possible. It does not need the largest possible list but a narrow selection of companies that match the ideal customer profile. For each of them, it then needs to understand what the company does and what is changing there in order to prepare a good offer.
Effectix has its own AI division. On top of BizMachine data, it built a “skill”: a written procedure that lets the agent decide on its own which tools to use.
The agent works through four steps, with two points where it must stop and wait for the Business Development Manager’s approval:
The Business Development Manager specifies how many companies they want and from which industry. Through the AI (MCP) connector, the agent requests data from BizMachine: for example industry, revenue, region, company size or detected advertising activity. It automatically excludes companies that are already in the CRM or that a colleague has claimed.
The agent gives every company a priority value from 0 to 100, plus two or three sentences of reasoning that later become the note in the CRM.
They see a table sorted by priority and confirm to the agent which companies to focus on.
The agent then finds a contact in a predefined role, at Effectix most often someone who decides on marketing. It checks the contact sources Effectix uses outside BizMachine and proposes which one to buy the contact from, based on reliability and price.
They review the contacts and the proposed source, and confirm which ones should be written to the CRM.
The agent writes everything to Pipedrive, including a scheduled activity and a note explaining why the company passed the selection.
The agent cannot buy contact data or write anything to the CRM without the Business Development Manager’s explicit approval.
Effectix mapped its sales process and went after the most expensive step, preparation, rather than the step that would have been easiest to automate.
Expect to adjust it.
Two approval checkpoints, plus the rule that the agent spends no money and writes nothing to the CRM without approval, are the reason the team let it run on live data.
The process needs versions, approvals and someone who makes sure the agent improves with every piece of feedback from the Business Development Managers.
An administrator switches the AI (MCP) connector on in the app - there are no API keys or configuration files to set up.
Want to try a similar workflow on company data from the Czech Republic and four more countries? See how the BizMachine AI (MCP) connector works and how to switch it on.
Anna Evans
Anna Evans is the Head of Marketing at BizMachine, leading marketing strategy and execution across the Czech and Central European markets. She specializes in B2B positioning, sales enablement, and data-driven marketing. At BizMachine, she bridges the gap between data, technology, and go-to-market strategy to help sales and marketing teams find and win the right customers.
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