Design and deployment of dedicated AI Agents

We don't deliver "off-the-shelf chatbots". We build operational digital brains that know your company, understand your context, and operate according to your procedures. Our solutions turn passive knowledge bases into active assistants that truly relieve your team.

Scroll↓

How does it work?

Architecture and Technology

Our solutions are built on cutting-edge language models (LLMs) integrated with your internal infrastructure.

Technology Foundations

Custom Knowledge Base (RAG)

Your Agent doesn't guess. With RAG architecture, we connect it to your documents, procedures and databases.

  • Answers only based on your sources
  • Cites sources (e.g. link to specific PDF)
  • Fewer hallucinations: without a source, the agent says it doesn't know, and answers can be checked

Memory and Context

No more repeating yourself. Our systems have long-term memory, building relationships, not just answering questions.

  • Remembers purchase history and previous tickets
  • Adapts tone of voice to the conversation partner
  • Learns user preferences over time

Action Execution (Function Calling)

From words to action. The agent isn't a passive chat, it has permissions to safely execute operations.

  • Checking stock levels in ERP
  • Scheduling meetings in sales calendars
  • Updating lead statuses in CRM

Security and Deployment

Security and Guardrails

Control over what the AI says. We apply strict behavioral rules to protect your brand image.

  • Blocking sensitive and competitor topics
  • Automatic removal of sensitive data (PII)
  • Isolated environment for each client

Omnichannel Presence

One brain, many interfaces. We build one Agent that serves customers wherever they are.

  • Website widget
  • Messengers: WhatsApp, Messenger, Slack, Teams
  • Email and SMS support

Seamless Escalation (Human Handoff)

Technology supports empathy, it does not replace it. When a problem needs a human touch, the Agent hands the conversation over smoothly.

  • Agent creates a note and summarizes the issue
  • Customer doesn't have to repeat their story
  • AI handles routine, humans build relationships

Our Implementation Process

Building an Agent is an engineering process, not magic. Here's how we work:

01

Process review and analysis

We identify bottlenecks. Should the Agent support customer service, help sales reps, or train new employees? We set KPIs.

02

Data Preparation (Data Engineering)

We clean and structure your documents. Good AI requires good data. We create knowledge indexes.

03

Prompt Engineering and Personality

We define the tone of voice. Should the Agent be formal and corporate, or casual and helpful?

04

Integration and Testing

We connect the Agent to your channels (Slack, Teams, WhatsApp, Website Widget). We run Red Teaming, deliberately trying to trick the Agent to find and patch gaps before launch.

05

Monitoring and Optimization

After deployment, we deliver an analytics dashboard. You see what users ask and where the Agent needs improvement.

Example Use Cases

01

AP Accountant (Accounts Payable)

Invoice and settlement specialist. Takes over the most tedious part of your finance department's work.

Substantive verification

Automatically checks whether amounts match the PO and whether the supplier is on the Polish VAT whitelist.

Posting with human review

Recognizes cost centers and proposes the right ERP accounts for each invoice; a person approves uncertain cases.

Deadline tracking

Monitors payment deadlines and optimizes company cashflow.

02

Digital Lawyer (Legal Assistant)

Guardian of your contracts and compliance. Searching hundreds of pages of regulations takes seconds.

Risk analysis

Instantly detects prohibited clauses or unfavorable terms in contracts.

Legal knowledge base

Answers questions about company procedures and regulations (e.g. GDPR).

Document generation

Creates draft contracts, annexes or powers of attorney from a brief.

03

Virtual Executive Assistant

Your time command center. Manages communication and calendar so you can focus on strategy.

Inbox and calendar management

Prioritizes emails, filters spam, suggests meeting times.

Meeting summaries

After each call, prepares a summary with action items for participants.

Multilingual receptionist

Handles inquiries from clients worldwide in their native language.