AI agents
Voice and chat AI agents for real operations
We build agents that communicate by voice or messaging around the clock, answer routine and expert questions, capture cases and hand complex situations to people.
Discuss your project →Voice agents
An agent receives or makes calls using an approved workflow, understands Ukrainian, asks for required details and operates 24/7, including weekends.
- Informational and service calls
- Complaint and case intake
- Confirmation of facts, status or arrangements
- Capture of contact and case details
- Live transfer to a human operator
Chat agents across messaging and social channels
One workflow can be adapted for a website, WhatsApp, Viber, Telegram, Instagram and other available channels. The agent preserves conversational context and hands collected information to an operator.
- Answers to recurring questions
- Case and lead qualification
- Step-by-step collection of required details
- Status and next-action updates
- Routing to the right employee
Domain-specific expert agents
The agent answers from an approved knowledge base within a defined domain: company services, internal policies, customer support, or a hromada or public institution. It uses permitted sources only and escalates uncertain or unusual cases to a specialist.
- Corporate knowledge and instructions
- Guidance on services and procedures
- In-workflow employee assistance
- Answers for residents or customers
Information capture and integrations
Under an agreed policy, the agent can store audio, transcripts, summaries, selected fields and action history. Data can flow into a CRM, service system, registry or warehouse with defined consent, retention and access rules.
- Call audio and transcript
- Case reason and category
- Key facts and contact details
- Status, owner and next action
Working alongside human operators
The agent handles repetitive interactions but does not replace human judgement where empathy, accountability or non-standard analysis is required. In a complex situation, it transfers the call or conversation with the context and information already collected.
- Automatic escalation rules
- Handover without repeated questioning
- Parallel work by agents and staff
- A log of escalation reasons
Management, availability and security
After launch, an authorised client employee can update answers, workflows, routing rules and escalation hours without redesigning the entire system. Protection levels are selected according to process and data risk.
- 24/7 operation with controlled fallback scenarios
- Roles, least privilege and separation of access
- Approval for consequential actions
- Logging, monitoring and quality control
- Encryption and agreed retention periods
From pilot to an operational service
We start with one measurable workflow, an approved knowledge base and explicit human-handover rules. We test accuracy, completeness of captured data, escalation quality and load before connecting more channels and processes.
Fit before scope
Is this the right starting point?
Use these criteria for an initial orientation. The final recommendation follows a review of your context, data and constraints.
A good fit when
- There is repeatable work with documents, knowledge or systems
- Permitted sources and users are defined
- A person can review critical answers and actions
Resolve this first when
- The agent is expected to make critical or legally significant decisions independently
- Uncontrolled changes to production systems are required
- There are no representative queries or evaluation method
A verifiable first stage
What you can use to make the next decision
The exact scope is agreed before work begins. These are typical decision artefacts, not promised business results.
Agent architecture
Knowledge sources, tools, roles, permitted actions and human approval points.
Working prototype
A bounded scenario using approved data with response and error logging.
Evaluation set
Test queries, quality criteria, risks and a decision for the next iteration.
Five questions · no datasets or credentials
Frequently asked questions
Frequently asked questions
Can one agent work across phone and messaging channels?
Yes. Voice and text channels can share a knowledge base and process rules while behaviour is adapted to each channel.
Can agents operate at night and on weekends?
Yes. An agent can operate 24/7, with rules determining when it responds, records a case or hands it to an on-call operator.
What is stored after a call or chat?
Only the agreed dataset, such as audio, transcript, summary, key fields and action history. Content, access and retention are defined by organisational policy and data requirements.
Can our employee change the agent's answers?
Yes. Authorised staff can be given a governed way to update knowledge, workflows and routing rules with review and change logs.
What happens when the agent is uncertain?
It asks for the required details or transfers the conversation or call to an operator with its context. Confidence boundaries and escalation rules are agreed before launch.
Can the model see every document and dataset?
No. Access follows roles, approved sources and the minimum permissions required for the specific workflow.
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