Solutions
Six systems, one standard: they work
Every Syntrix system is trained on your materials, wired into your tools, and handed over running. Here is what each one does for your numbers.
AI chat assistants
A sales-grade assistant on your site and in Telegram that answers in under a second, qualifies the visitor, and hands hot leads to your team with full context.
What changes
- Inquiries at 2 a.m. become leads instead of bounces.
- Managers stop retyping answers to the same twenty questions.
- Every conversation ends in a next step: contact captured, order placed, or handoff.
What you get
- Assistant on the site widget and a Telegram bot
- Knowledge base built from your catalog, prices, and policies
- Lead capture with handoff rules and full transcripts
- One integration (CRM, sheet, or webhook) in the Start package
Voice agents
Agents that answer and place calls in natural Russian and Uzbek, connected to your telephony. Confirmations, reminders, and first-line intake without hold music.
What changes
- Zero missed inbound calls, including nights and holidays.
- No-show rates drop when confirmations happen reliably.
- The call center stops growing with order volume.
What you get
- Inbound and outbound voice agent with RU and UZ speech
- Telephony integration with your existing numbers
- Call scripts approved by you at the prototype stage
- Recordings, transcripts, and call analytics
CRM and workflow automation
amoCRM, Bitrix24, or anything with an API. Leads arrive tagged and routed, follow-ups fire on schedule, and reports assemble themselves.
What changes
- No lead sits unassigned for hours.
- Follow-up sequences run without anyone remembering them.
- Management sees pipeline truth, not manager recollections.
What you get
- CRM integration with routing and tagging rules
- Automated follow-up sequences in messengers and email
- Deal-stage automation and notifications
- A dashboard of what the system did each week
RAG knowledge bases
Retrieval-augmented answers grounded in your documents. The assistant cites your prices and policies, and when confidence is low it says so and escalates.
What changes
- Answers match your actual terms, not a model's guess.
- Policy changes propagate by updating a document, not retraining.
- Hallucinated prices and promises are engineered out.
What you get
- Document pipeline: catalogs, price lists, regulations, FAQs
- Grounded answering with source references
- Confidence thresholds and human escalation rules
- An update workflow your team can run without us
Multi-agent systems
Several specialized agents working as one team: sales qualifies, support resolves, operations executes. Escalation protocols keep humans in charge.
What changes
- Complex requests get decomposed instead of dropped.
- Each agent stays simple, auditable, and replaceable.
- Workload routes to the cheapest competent handler, human or not.
What you get
- Agent roles designed around your org chart
- Inter-agent handoff and escalation protocols
- Audit log of every decision and handoff
- Gradual rollout, one workflow at a time
On-premise deployment
The full stack on your servers or private cloud. For banks, clinics, and public-sector teams whose data cannot leave the building.
What changes
- Data residency requirements are satisfied by architecture, not promises.
- Access is controlled by your security team, on your hardware.
- An SLA in writing, with a dedicated engineer who knows your install.
What you get
- Deployment on your infrastructure with hardening
- Model serving sized to your hardware budget
- NDA, SLA, and a data governance document
- Training for your administrators