Accounting and finance
The AI accountant posts source documents, prepares entries and reconciliations in sync with 1C — the chief accountant stays in control.
Enterprise results without an enterprise army
AI agents for real use, one process at a time
AI agents for real use, one process at a time is part of the English KT.Team site for enterprise automation, integrations and digital transformation.
Our clients
Clients and partners
78enterprise cases: integrations, PIM/MDM/DAM, 1C, AI and industry systems
13 yearsin enterprise development and system integration
<= 1 mo.target TTU: the business should see the change in how users work
<= 3 mo.TTU for the first contract, including org matters and process launch
AI agents
AI agents by role
We take one role’s process and bring the agent to real use — wired into your 1C, ERP and CRM.
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.
Legal reporting automation — Central Bank, Rosreestr, BI and CRM
1C administration
The AI agent for 1C takes over routine operations and user support — via API and the data bus, not chat text.
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
The AI agent acts inside 1C, ERP and CRM via APIs and the data bus instead of replying in a chat. Loose coupling is a DORA architectural performance factor. Behind the integration layer — 77 enterprise cases over 13 years: PIM, ESB, WMS.
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.
Payment — after the process actually works
The estimation risk is ours: a process is accepted when employees actually work in it, not when a certificate is signed. The 1–2 week horizon per process follows from QSM and the Norden–Rayleigh law: a small batch has a short physical minimum duration. It is batch size, not haste.
Process-by-process AI automation
One process — one price — payment after the result
We fix the acceptance criterion before the start: a process is accepted when employees actually work in it, not when a certificate is signed. The reference is 1–2 weeks; we promise the pace across a series of processes, not each one (Norden–Rayleigh, QSM).
Payment upon accepted process
Payment is tied to a working business process accepted by the client — not to a timesheet report.
Monthly increment
Each month the client gains additional AI-automated processes. Multiple processes can run in parallel.
One process — one repository
Each business process lives in its own repository. This simplifies support, observability, and handoff.
01Take one business process
02AI deployed in 1–2 weeks
03Client accepts a working process
04Payment is tied to an accepted process
05Move on to the next process
Price reference
How much does one AI-automated process cost
250 000 ₽
AI agents for real use, one process at a time.
1–2 weeks
AI agents for real use, one process at a time.
KT.Team helps enterprise teams with enterprise, automation through discovery, architecture, implementation, integration and support.
Development & AI Pricing: Fixed Price for Results · AI Assistant Development for Business
Digital transformation projects
Want to estimate the potential value of your project?
Developer Case: Construction Materials Procurement
KT.Team — a leading integrator of digital solutions for developers
Muztorg Case - PIM System for Product Catalog
KT.Team — a leading integrator of digital solutions for enterprise systems
Snezhnaya Koroleva case — omnichannel reservation
KT.Team — a leading integrator of digital solutions for enterprise systems
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 map
Process, KPI, TTU, and simple technologies in one diagram
We don't flaunt knowledge. We show results in action: which process we start from, which KPI we lock in, and why a change in users' real work is the goal, not a handover act.
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!