AI automation agency for tech and service companies with a team. Workflows with AI agents for sales, support, product and operations.
As a product manager, I brought AI into two banks, one with 50 million clients. It grew SEO traffic and rebuilt the development process.As a product manager, I brought AI into two banks, one with 50 million clients. It grew SEO traffic and rebuilt the development process.
I find the process where it pays off first, build the system, and stay until your team runs it on its own.
You have seen enough demos. Time to make it real.
We go through which processes eat your team's week. I check that the process has data, an owner and a budget for a system. If one of these is missing, I say so on the call, and we stop there.
It starts with interviews and access to your tickets, deals and reports. I count the hours and the money in three or four processes and pick the one where a system pays off first. You get a map of those processes with a decision on each, a plan for the first month and a demo on a sample of your data.
I build the system on your past tickets and deals, not on demo data. It ships when it handles that history as well as a person does. Your team sees every release and starts working with the system before the build is over.
We write down the hours before and after, and the process gets an owner in your team. After that, the work is changes: a new rule, a new channel, a case the system got wrong, the next process from the map. Every change is tested on your history before it goes live. You can pause at the end of any month, and everything built stays with you.
Thirty minutes on the process that eats your team's week. You leave knowing whether a system makes sense for that process and where the audit would start.
Let's talkKnow what to build first.
$2,500
One or two weeks, credited toward the first month.
What's includedLike an AI engineer on staff. Without the hiring.
$8,000/mo
Change the scope or move to the next system any month.
What's includedMax GHours and money per process, counted from your tickets, deals and reports. The one that pays off first
Your engineersWhatever is next in the product backlog
Automation studioWhat came up on the intro call
Vendor platformYou, from what the platform offers
Max GYour tickets, deals and knowledge base, checked on your history before launch
Your engineersYour stack, which they know
Automation studioA spec from the audit, tested on demo data
Vendor platformIts own templates; your process adapts to them
Max GA number written before the build, and hours before and after
Your engineersIt is deployed
Automation studioThe project is delivered
Vendor platformThe vendor's usage dashboard
Max GTen years in GTM and product, and AI rolled out inside a bank
Your engineersEngineering, and they know your product
Automation studioEngineering, with a project manager in front
Vendor platformThe platform's sales team
Max GMonth by month. When a system is done, the next month goes to the next process, or you pause
Your engineersThe sprint is spent either way
Automation studioThe project is paid in full
Vendor platformThe subscription runs on, used or not
Sales finds contacts, support answers tickets, the report is built on Friday. The hours cost the same every month and grow with the team.
Each person gets a little faster on their own, and the company's numbers stay where they are.
The system reaches the top of the backlog only after the product work. A quarter passes, and the team is still doing it by hand.
An engineer builds what the ticket says. With me, the first one or two weeks go to the audit. It shows the process where an AI system pays off first. The number it has to move is written before the build, and the hours are measured after. You can pause at the end of any month.
They can, when it reaches the top of the product backlog. I do not compete with them for the sprint. I build the system next to your team, your engineers review the releases and keep the code.
Built for you. The AI agents run on your tickets, deals and knowledge base, and every release is tested on your history before it goes live. The components repeat from client to client: an assistant on a knowledge base, a chain of follow-ups, a loop of tests, a report. What they run on is yours.
After the audit you can decide not to build, and the audit stays with you. After the build, the hours before and after show what moved. If the number did not move, you pause at the end of the month and keep everything built.
Everything runs on your accounts, and you grant and revoke the access. A confidentiality agreement comes before the first interview, and a data processing agreement comes with the contract when you need one. Training on your data is switched off in every model account the system uses.
The code is yours from the first week. The system is handed over with documentation and an owner in your team. When there are more clients than one person can carry, I bring people in and stay responsible for the result.
At the start, an interview with the owner of the process and access to tickets, deals and reports. After that, reviewing the releases. You talk to me, and I read the tickets myself, so nobody explains the context twice. I count those hours in the same measurement.
The system takes the work the team does by hand: the first answers, the follow-ups, the Friday report. The judgment calls stay with people, and a person checks what the system sends out. The team hears about it before the first interview, and the owner of the process in your team accepts each release.
I work remotely, in English and Russian. If the work needs me in your office, for the team interviews for example, I can come. We agree on the trip separately.
It picks the process where a team loses the most hours, builds an AI system for it and keeps it running. Here that means a one to two week audit, then a monthly system, tested on your past tickets and deals and measured before and after.
Four kinds of work. In sales and marketing, the answers to inbound leads, the follow-ups and the call reviews. In support, the first answer from your knowledge base. In product, the spec, the code and the tests, checked by your gates. In operations, the agreements in the CRM and one report a week. See the four systems.
Two prices, both on this page. The audit takes one to two weeks, costs $2,500 and is credited toward the first month. A system costs $8,000 a month, one process at a time, measured before and after. You can pause at the end of any month.