Production strategy with AI
Where a plant loses time and attention. Which decisions repeat every day. What a system can take — and what it must not, because a mistake is expensive. The outcome is a plan, not a pile of toys.
Rinat Sultanov
I build an AI loop for sales, data and management inside a working food plant — and carry what works into other manufacturers. Growth without a matching rise in headcount.
Today I am Director of Development at Kazan Delicacies.
I do not sell subscriptions or prompt courses. I build a working loop: people, data, agents and the company’s real processes.
I test it on a live production floor — then bring it to the client.
01 / work
Where a plant loses time and attention. Which decisions repeat every day. What a system can take — and what it must not, because a mistake is expensive. The outcome is a plan, not a pile of toys.
The data already lives in the ERP, spreadsheets and people’s heads. I connect it so a director sees the day, instead of waiting for a month-end report.
An agent does the first mile: finds companies, gathers facts, writes the first email, prepares a brief. A manager steps in when the talk and the trust are human.
A site should rank in Google — and still make sense to ChatGPT, Claude and other AI systems. That is one architecture now, not two separate worlds.
02 / method
Halal integrity, retailer rules, client safety. Constraints first — then automation.
Automating chaos costs more than leaving it. Describe it, then speed it up.
Machines and accounting often already emit numbers — nobody plugged them in.
An email can be stopped. A shipment and a certificate cannot. Draw the line first.
Each step pays for itself. Stopping halfway is still useful work — not a half-finished monument.
03 / in practice
Classic SEO plus a layer machines can read: a clean catalog, consistent pages, no contradictions. The job is simple — show up in search and in ChatGPT answers.
An agent finds and qualifies companies; a manager enters the conversation with context ready. People keep the part only people do well. Case with numbers →
Shifts and bottlenecks show up in data, not only in reports. Video, accounting and the next layer of shop-floor automation share one logic.
04 / about
The value is not “another IT person” or “another meat person”. It is both in one head: I know why you cannot mix raw materials on a line — and why an agent without send limits kills a mail domain in a week.
I am Director of Development at Kazan Delicacies, a halal meat plant in Kazan. The company grew from 58.6 million RUB in 2023 to 869 million RUB in 2025. That growth is not “an AI result”. It is a live, complex business where you can test what works outside a slide deck.
I build the plant’s digital layer myself: agent sales, data from 1C, video monitoring, SEO and AI-search visibility. So I know not only what a vendor promises, but what they left out of the quote.
05 / perspective
It starts with the architecture of the enterprise. First — what must not be broken. Then — how the process actually works. Then — data and its connectivity. Only after that come agents, and at the very end, physical automation.
Most implementations run this backwards: they buy a tool and look for somewhere to put it. That is how you get scattered pilots instead of a changed company. My work is to reverse that order: from the structure of the business to the technology, not from the technology to the business.
06 / formats
For a leader who sees AI changing the industry and does not want to buy another tool blind.
In 2–3 weeks I map processes, data, tools already bought, and vendor proposals.
You leave with a map of opportunities and a sequence.
One process you can measure: sales, analytics, inbound, the website, shop-floor control.
We freeze the baseline first. In 90 days the change shows in numbers, not slides.
A working loop and clear economics.
When you need a new operating model, not one isolated case.
I sit on the owner’s side: sequence, success criteria, oversight of internal and external teams. I do not replace integrators — I keep them building the system the business needs, not the largest quote for themselves.
No more than 2–3 companies at once.
07 / who I work with
Mid-size and large manufacturers and FMCG companies — sales, data, management and export inside them.
Usually hundreds of millions to a few billion RUB in revenue: already too complex to run “on people”, still entrepreneurial enough for the owner to change how the company is built.
If you recognise your company in the first list — write. If the second one is closer, we probably should not start yet.
08 / technical transparency
Independent snapshots. Below you can run the same tools on your own URL.
PageSpeed Insights
agent browsing 3/3 · FCP 0.2 s · LCP 0.3 s · TBT 0 ms · CLS 0 · SI 0.8 s
Open the PageSpeed report ↗Is Your Site Agent-Ready?
94 Level 5 · Agent-Native
Open the scan ↗09 / external proof