Faster answers
Users receive immediate guidance for recurring questions and routine tasks.
AI assistants with a knowledge base
AI assistants that use your knowledge and know when to escalate.
A useful assistant combines approved knowledge, clear limits, business actions and escalation to a person when confidence is insufficient.
Business impact
Technology should simplify work, not create another problem.
Consistent knowledge
Answers are grounded in approved sources and updated through a controlled process.
Measured quality
Conversation analytics reveal missing knowledge, escalations and opportunities for improvement.
Service scope
What we can design and deliver.
We build AI assistants for sales, support and onboarding with controlled knowledge sources, integrations and measurable quality.
Knowledge assistants
Search and answers grounded in documentation, procedures, offers and internal materials.
Sales assistants
Qualification, product guidance, lead capture and handoff to the sales team.
Support and onboarding
Step-by-step guidance, issue triage and escalation with conversation context.
Actions and integrations
Secure creation of tickets, leads, bookings or other approved business actions.
Technology selected for the project scope
OpenAI APIRAGVector searchNext.jsMongoDB AtlasREST APIsAnalytics
Delivery process
Every stage ends with a concrete decision.
We adapt the scope to the risk and maturity of the idea. We do not add features that do not help validate the product or improve the process.
- 01
Use case and boundaries
We define who asks questions, the acceptable sources and situations that require refusal or escalation.
- 02
Knowledge preparation
We organize documents, access rules, update ownership and evaluation questions.
- 03
Assistant and integrations
We build the interface, retrieval, response rules and approved business actions.
- 04
Evaluation and observation
We test real questions, answer quality, refusals, escalations and operating cost.
FAQ
Common questions before we start.
Can the AI chatbot answer only from our materials?
We can design it to retrieve from approved sources, identify missing information and refuse to invent an answer when evidence is insufficient.
How do you reduce incorrect AI answers?
We use controlled sources, system instructions, evaluation sets, confidence rules and escalation. No AI system is error-free, so clear use-case boundaries remain essential.
Can the chatbot create tickets or leads?
Yes. After collecting required data, it can call a secure integration with a CRM, ticketing system, calendar or contact workflow.
Are conversations analyzed?
We agree on data collection before launch. The system should retain only what is required for operation, security and quality improvement under the privacy policy.
Next step
Where could an AI assistant support your team?
Tell us who asks questions, where the knowledge lives and what should happen when the assistant is uncertain.