Implementation of artificial intelligence in business

We connect ready-made AI and LLM models to CRM, 1C, ERP, website and internal company services.

We start with one measurable process, launch a pilot and scale only after checking quality, safety and economics.

What processes can be enhanced with AI?

We integrate the model where it is reduces manual work or helps make decisions.
This service is suitable when a model already exists and needs to be safely integrated into the workflow. The development of our own model has been taken into a separate direction.
Support and advice
Classification of requests, operator tips and responses in permitted scenarios.
Documents and applications
Data extraction, completeness checking and routing without manual copying.
Sales and analytics
Deal summaries, risk identification, preparation of the next action for the manager.
Integration with systems
CRM, ERP, 1C, telephony, helpdesk, website, application and corporate portal.
Choosing the right model
We compare Russian, foreign and open-source models in terms of quality and cost.
Safe use
We separate roles, hide sensitive data and keep request logs.
1 processPilot's start
APIConnection to systems
KPIChecking the effect
SLAProduction control

Stages implementation of AI

We do not automate the process blindly: first we determine the control sample and acceptable errors, then we connect the AI to working systems.

1

Choosing a process and KPI

We describe the current scenario, the amount of manual work, risks and indicators by which we will evaluate the pilot.
2

Comparing models

We test available APIs and open-source solutions using company examples, evaluate quality, speed and cost.
3

We design integration

We determine data sources, access rights, interfaces, fallback scenarios and employee participation in decision making.
4

Launching the pilot

We connect one process or department, collect actual metrics and correct errors before scaling.
5

Enter in production

We set up monitoring, limits, logs, alerts, documentation and secure updating of models.
6

We train and develop

We train users, analyze feedback and add new scenarios only if there is proven value.

Artificial Intelligence Integration Cases

AI agents, analyzers and content services built into CRM, websites and work interfaces.

AI Business Implementation Calculator

Select process, models, and integrations to get a preliminary budget and timeline range.

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Description:AI assistant for support

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Description:AI assistant for support
Implementation team

Who connects AI to your processes

The business scenario, backend integration and user interface are led by a compact project team.

You can assemble exactly the team needed for your project into a project.

What do our clients say about us?

December 19, 2023
Evgeniy I.
We have been working with NBM IT for the second year now; they have created an online store for us, support the website and help with improvements. Everything is high quality and prompt, special thanks to the manager Dmitry for his attention to detail!

Frequently asked questions about AI adoption

It's better to start with a repeatable process where there are enough examples and measurable value for manual work. For the pilot, we select one scenario, a control sample and an understandable KPI.
Most projects do not. First, we check ready-made Russian, foreign and open-source models. In-house development is only needed if they do not provide the required quality, data control or unique logic.
Yes. We connect AI via API, queues and intermediate services to 1C, Bitrix24, amoCRM, ERP, helpdesk, websites and internal systems. The composition of the integration depends on the available interfaces.
A pilot of one process usually starts from 280,000 rubles. The cost is influenced by the number of systems, security requirements, data volume, load and the need for a user interface.
A pilot of one process usually takes 4 weeks. A production launch requires additional time for integration, load testing, access roles, monitoring and employee training.
We determine what data is allowed to be transferred to the model, mask sensitive fields, separate rights, keep a log of requests and, if necessary, deploy an open-source model within the company.
Before the pilot, we record basic indicators: operation time, error rate, processing cost and workload on employees. After launch, we compare them with the control group and calculate the actual effect.
No. We launch the pilot in parallel with the current process and save the manual fallback. The switchover is carried out in stages after acceptance tests.

Leave your contacts - we will call you back, sort out the problem and offer the best way. We have more than 350 projects behind us, each of which we launched with an individual approach. We guarantee expert advice during business hours.