1C and integrations
CRM, website, 1C, and phone system operate separately: managers manually transfer data between systems, losing some leads.
Enterprise results without an enterprise army
We build an AI-agent platform in your environment—starting with one process
13 years of enterprise integrations: we embed agents into your 1C, ERP, and PIM systems using open engines—without locking you into a proprietary platform. We define permissions, action logs, and control points before the agent receives write access, so the solution passes information security approval rather than bypassing it. Payment follows a working process.
Our clients
Get in touch
What's your challenge?
Every link leads to a page with a concrete solution and measurable effect—no navigating sections.
CRM and sales funnel
Leads arrive, but the funnel is opaque: it's unclear where deals are lost and which managers can't keep up.
ERP
Accounting runs on scattered spreadsheets and databases: data diverges, decisions made without clear visibility.
Construction and development
Production log kept on paper and in messengers: schedule slips become visible only when they're already a problem.
B2B Portal
Every supplier or dealer connects manually, and order and stock data diverge between parties.
The company behind the projects
13 years of engineering, 70 specialists
We use DORA and SRE practices, design loosely coupled systems and leave the code with the client — reducing vendor lock-in. Our software engineering approach →
Production experience
Three problems we owned through to the outcome
Three industries and change types: a new digital channel, a faster business process and a large integration landscape. Tags lead to cases with a similar problem.
Subscription grocery delivery service for Danone
- Average order value grew from $15 to $36
- Monthly revenue grew from $1,000 to $12,000
- Site conversion rose from 0.14% to 1.25%
Construction material procurement 3x faster
- Prepayment became 4.9 times faster
- Postpaid purchasing became 3 times faster
- Automated material procurement for sites
A single API for 200+ 1C:Retail instances
- Integrations became fault-tolerant and transparent
- Built a unified API to connect 200+ 1C:Retail locations
AI agents
AI agents by role
Building an AI agent and describing a business process is not enough. Value appears when the agent is embedded into the client’s current roles, permissions and systems.
Accounting and finance
The AI accountant posts source documents, prepares entries and reconciliations in sync with 1C — the chief accountant stays in control.
Tenders and estimates in development
The tender assistant collects relevant procedures, decomposes the RFP and prepares the document package — the funnel grows without growing the team.
Legal teams
Legal reporting automation: deal registers, regulator reports, court cases and claims in BI.
Natural-language access to 1C
The AI agent receives a user request, reads data, and performs permitted operations in 1C through MCP and a security gate.
Roles differ, but the process is the same: one process, 1–2 weeks to a working result, an indicative price of $3,500 excluding VAT, and payment after acceptance. How AI-agent development works →
Engineering
Why our AI processes reach production use
Many companies deploy AI today. The difference is not the models — it is the engineering around them.
An agent is only as strong as its integration
Behind the integration layer: 77 published enterprise cases in 13 years (PIM, ESB, WMS, 1C). We design AI processes from data flows, permissions, and control points—not polished presentations.
Standard tools, not a proprietary platform
Odoo, Pimcore, n8n, open LLM gateways: we do not reinvent wheels or lock you into our own platform. Code in your git, one process — one repository, open interfaces, the LLM gateway lets you swap the model. “You can take the system and evolve it without us” is a contract clause, not a slogan.
Passes information security approval rather than bypassing it
We grant read and write permissions separately; model requests pass through a logged gateway, and responsible staff approve material actions. Every agent step remains traceable, so incident analysis means reading the log, not reconstructing events. We meet GDPR requirements with models in your environment or services hosted in CIS data centers.
Payment — after the process actually works
We own the risk: a process is approved when employees actually work in it—not when paperwork is signed. Typical process target: 1–2 weeks; scope and acceptance criteria locked before start. QSM and Nordstrom-Riley's law explain small batches' benefit but don't guarantee timelines.
Price reference
How much does one AI-automated process cost
$3,500
for a standard process
1–2 weeks
payment after process acceptance
The price is for one standard business process and already includes the work of a curator who teaches employees how to refine the process. We set the exact price after analyzing the process.
Pricing and payment model → · Calculate the cost of AI transformation →
Directions
Services
AI
AI solutions, tools and implementation in business processes.
Analytics
We define measurable KPIs and project goals, run user research and interview business stakeholders.
Architecture
We define system boundaries and design user scenarios to assemble the future solution architecture.
Development
We build reliable enterprise systems and integrations with data and regulatory requirements in mind.
Design
We design interfaces that guide users through the workflow and remove unnecessary steps.
Support
We develop products after launch and keep them stable under SLA.
24/7/365 support availableManagement
We take responsibility for project outcomes, manage timelines and quality, and help teams make decisions.
Outstaffing
We strengthen your team with our experts and close tasks inside your environment.
Approach
Enterprise projects with a small team
We don't build one huge project inside the company. We improve process by process: each cycle reaches users in a month or less.
One flow, one team
We decompose the project so a team of up to 6 people can keep the flow going without extra roles or a frontend/backend wall.*
Clear start
The first contract runs for up to 3 months, including organizational matters and process launch. After that, changes move in short cycles.**
Long-term relationships
The priority is trust for years: a long-term contract, a stable team, handover into operation, not into the archive.
*The team size limit rests on small-team practice and QSM/Norden-Rayleigh research: adding people does not speed a project up linearly.
**We measure TTU, the time from idea to real use, not to formal handoff.
SourcesDORA: small batchesDORA metricsQSM: software project physics
Runet Rating 2024
Corporate solution development and enterprise consulting.
Tagline 2024
Best AI technology: retail and e-commerce.
Tadviser 2024
Top 5 IT providers in construction.
Digital Leaders 2024
Contractor of the year.
Client reviews
Why clients choose us again and again
The KT.Team team is a mature development partner. The delivery process is very clearly organized, and the smooth collaboration within the engineering team deserves special mention. When the team sees that the development process needs fine-tuning, it does it. During discussions, the team digs into the essence of the tasks and seeks to understand the business context. The work is aimed not at formally fulfilling the specification but at solving the real problem. Thanks to strong engineering expertise and product thinking, the team can be trusted not only with implementation but also with the architecture of the entire system.
The Muztorg group of companies has been working successfully with the KT.Team team for more than two years. The high professionalism of our partners helps us a great deal, as does their ability to combine well-structured project management with minimal formal constraints. I would especially like to note the friendliness and openness of the KT.Team staff.
The best — both the developers and the management, and the owners are in a league of their own! What was done at Snow Queen would have taken other companies 10 times longer. And thank you for assessing development sensibly and not stretching out the timelines.
You set a high standard for working with contractors. After you, dealing with others leaves a feeling of falling short of expectations.
After several years of joint, productive work, I want to thank our colleagues at KT.Team. Together we have come a long way, solved thousands of tasks, survived 3 Black Fridays already, and developed and successfully launched several large projects estimated at more than 2,000 person-hours. Both I and the company's management are pleased with our collaboration.
Before KT we had another contractor — a large, well-known integrator — and every change was expensive and painful. We even considered abandoning Magento altogether! kt.team took on a huge amount of work. A great team!