Costs by agent
We track model requests and task execution costs by agent and department. We configure budgets, limits, and alerts; infrastructure and license costs are shown separately.
AI for mid-sized and large businesses
Enterprise AI platforms: manage agents, costs, and access
We deploy international open source platforms and bring your company's AI agents together in a manageable environment. You control costs, change permissions, and where agents run. We improve specific processes, measure reductions in labor effort, and hand over the solution to your team on a clear technology stack.
Our clients
Enterprise AI management
What a corporate AI platform provides
An AI platform is a unified environment where a company launches agents and manages their work. Shared rules for access, costs, and quality apply across departments and business processes.
Who can change agents
We separate permissions for creation, configuration, and release. Changes undergo testing and approval; versions are saved so the working configuration can be restored.
Where agents run
We determine hosting to meet IT and information security requirements: company infrastructure, a dedicated environment, or approved cloud services. We define which data and models are available to each agent.
Which actions are allowed
We connect 1C, ERP, CRM, and other systems through controlled interfaces. We separate read and write access, assign actions requiring human approval, and maintain an operation log.
Quality as workload increases
We test agents against approved scenarios before release. We track errors and queues, assign owners, and provide for agent shutdown and incident review.
Handover to your team
We transfer the approved application code, configurations, tests, and instructions. We verify that another team can deploy and modify the solution; rights and licenses for platform components are documented separately.
International open source platforms for enterprise needs
We deploy and configure ready-made open source platforms. We adapt integrations and business logic to the company's needs. For IT teams, clear updates, access to specialists, and the option to change vendors matter.
Ready-made platform foundation
We use solutions developed by international projects and communities. Before choosing one, we review its license, release history, documentation, and hosting requirements. We focus our team's efforts on your processes and integrations. How we choose platforms.
Support on a clear technology stack
We rely on standard interfaces and keep process customizations separate from the platform core. We document dependencies and update procedures, and test compatibility and rollback. Your specialists or another integrator can understand how the solution is built.
Handover with verification
We keep the agreed application code and configurations in your git and provide tests and operating instructions. We verify that another team can deploy the solution and release a change. The platform's open source code is the foundation; we validate transferability in practice.
Get in touch
What's your challenge?
You can start by managing existing agents, one business process, or preparing enterprise data and integrations.
Enterprise AI platform
Agents are already appearing across departments, but there are still no shared rules for costs, access, or releasing changes.
1C and integrations
CRM, website, 1C, and phone system operate separately: managers manually transfer data between systems, losing some leads.
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 $37
- Monthly revenue grew from $1,100 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
We select an operation and record baseline labor effort and quality requirements. After deployment, we measure the time required to perform, review, and correct it, while tracking support separately.
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
An AI agent reads data and performs permitted operations in 1C through a controlled interface—with user permissions and an activity log.
The first process validates the value of AI using your data. We then connect new processes to shared rules for access, cost tracking, and releasing changes. How AI-agent development works →
Price reference
How much does one AI-automated process cost
$3,600
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!