Neural2B service

AI Agents for Business: Development and Implementation

We create autonomous AI agents that perform agreed actions in CRM and databases. They check requests, assign tasks, and synchronize statuses.

Who it's for and what tasks it fits

✓Service companies with a lot of routine operations between systems
✓B2B businesses where commercial proposals take weeks to prepare
✓Support departments and operational units

What problem the solution solves

Regular scripts break as soon as a client writes text slightly differently. Simple chatbots can only write texts, but cannot perform actions in the system. Thus, employees manually copy information, create cards, and check if all documents are in place.

Capabilities

Operates in the cycle 'Situation Analysis → Tool Selection → Action'

Connection to external APIs: CRM, email, calendars, knowledge bases

Controlled access rights: the agent only does what it is allowed to do

Critical steps must be confirmed by a human (Human-in-the-loop)

Every step is logged, so the agent's decisions can always be verified

Implementation and rollout stages

Defining Role and Autonomy Boundaries

We clearly agree on what the agent does independently and where human intervention is necessary.

Development of Tools and APIs

We create reliable connectors to your internal services, with parameter verification.

Setting Up Prompts and Behavior

We write system instructions, consider edge cases, and train the agent not to invent responses.

Testing in an Isolated Environment

We run hundreds of synthetic scenarios. We check if everything works stably and if there are no errors.

Input data and required integrations

·CRM API (HubSpot, Salesforce, Pipedrive, Pipedrive, HubSpot)
·Corporate email and notification systems
·PostgreSQL / MySQL databases or internal microservices

Automation boundaries and limitations

We tell you honestly upfront what the system can't do. It's easier that way than dealing with false expectations later:

✕The AI agent does not make financial or legal decisions on its own
✕All actions are logged. If the agent is unsure, it hands the task over to a human
✕Integrated systems must have a stable API

How pricing is calculated

The cost depends on how many tools we connect, how complex the scenarios are, and what security requirements are in place.

See estimated pricing benchmarks →Calculate the potential impact in the calculator →

Demo example

Corporate Onboarding Assistant

In the first 3–4 weeks, newcomers primarily seek information. How to apply for leave? Where are the passwords for services? Who approves invoices? What is the regulation for responding to clients? Mentors and HR are overwhelmed with the same questions.

View the scenario diagram →

Frequently asked questions about the service

How does an agent differ from a chatbot?▾

A chatbot mostly just converses with a person. An AI agent has access to tools: it can make requests to CRM, create tasks, or check files on its own.

What happens if the agent makes a mistake?▾

We give the agent rights only for safe operations. Critical actions — such as changing the status of a deal or sending a document to a client — are confirmed by an operator.

Are expensive servers needed?▾

No. For most agent scenarios, cloud APIs of leading models or a compact secure backend are sufficient.

Want to talk through your process?

We'll look at how things work for you now, check whether AI is really needed here, and map out the first pilot.

Discuss my task

Other services

Let's start with your process: AI Agents for Business

Describe the process that’s eating up your team’s time. We’ll suggest what can be automated, what data is needed, and where to start.