Handling incoming requests
The agent reads the request, identifies the type of query and runs the right workflow without a person involved.
AI Agents for Business
We build agents that carry a process through to a result: they take in a request, gather what's missing, act inside your systems, and hand off to a person only what actually needs a decision.
01What agents do
An agent isn't a chatbot with canned answers — it's an operator with access to your systems and a defined scope of authority.
Lead qualification
It asks clarifying questions, checks fit against your criteria, and passes only qualified leads to a manager.
Customer support
It answers from your knowledge base and performs routine actions — order status, returns, updating details.
Back-office tasks
It reconciles data across systems, drafts reports and documents, and flags discrepancies for review.
02Common business scenarios
First response to a request
The agent contacts the customer, clarifies the request, and creates a CRM task with full context for the manager.
Pre-call qualification
Before a manager gets on a call, the agent establishes budget, timeline and need, saving time on the first conversation.
Exception escalation
If a request falls outside the agent's authority, it is handed to a person with the history and a proposed next step.
Cross-system reconciliation
The agent compares records across CRM, spreadsheets and accounting systems and flags mismatches.
03How an agent works
- 01
Intake
- 02
Analysis and clarification
- 03
Action in your systems
- 04
Result check
- 05
Handoff to a person if needed
04Integrations
- CRM (amoCRM, Bitrix24, HubSpot)
- Telegram
- Google Workspace
- 1C
- Internal APIs
- Knowledge bases
05Benefits for the business
01
Faster first response
Customers get an answer right away, not once a manager is free.
02
Less routine decision-making on people
The team handles the hard cases; the agent handles the repeating ones.
03
Control and visibility
Every action the agent takes is logged, reviewable and adjustable.
04
Scale without hiring
Growth in request volume doesn't require a matching increase in headcount.
06Example solutions
An agent for consultation requests
Takes the enquiry, clarifies details and books the customer with the right specialist.
A B2B lead qualification agent
Scores a company and its need against set criteria and passes only qualified contacts into the CRM.
An internal support agent
Answers staff questions on policies and access, escalating anything unusual to HR or IT.
07Implementation stages
Defining boundaries
We set out which decisions the agent makes on its own and which require a person.
Scenario design
We map the logic for each request type and the rules for escalation.
Build and integration
We connect the agent to CRM and internal systems and test it against real requests.
Launch and tuning
We put the agent into production and improve it based on real outcomes.
08Questions and answers
How is an AI agent different from a chatbot?
A chatbot answers questions. An agent takes action — creating CRM records, updating statuses, triggering workflows — within a defined scope of authority.
Can an agent make a costly mistake?
That is what the scope of authority is for: the agent acts independently where the risk is low, and hands off decisions elsewhere.
Do we need a separate knowledge base for the agent?
Usually not — we work directly with your existing documents, policies and CRM data rather than duplicating content.
How long does deploying an agent take?
It depends on the number of scenarios and systems involved, but a first working version can usually launch within a few weeks.
How do we know what the agent is doing?
Every action is logged, so its work can be reviewed and the logic adjusted as needed.
Next step
Tell us which process is worth handing to an agent.
We'll tell you honestly where an agent can act on its own, and where the decision should stay with a person.