AI assistants and agents
Task-focused assistants with tool use, state, access boundaries, structured outputs, and clear failure behavior.
LLM · RAG · WORKFLOW AUTOMATION
AI automation that works inside a business process
I build AI systems around measurable workflows, not isolated prompts. The model receives controlled context, deterministic rules handle critical decisions, and every result can be logged, reviewed, or escalated to a person.
WHAT I DELIVER
A complete working system, not an isolated code fragment.
RAG and knowledge retrieval
Document ingestion, chunking, hybrid search, source-aware context selection, and answer traceability.
Support and operations automation
Classification, extraction, response drafting, workflow routing, CRM updates, and safe human handoff.
Evaluation and reliability
Representative test sets, scenario coverage, logging, quality review, cost tracking, and production feedback loops.
DELIVERY PROCESS
From an unclear workflow to a controlled release.
- 01
Choose a workflow where automation has a clear business effect and define what a correct result means.
- 02
Separate deterministic rules from model reasoning and design explicit escalation conditions.
- 03
Test on real edge cases, measure recurring error categories, and iterate before broad rollout.
- 04
Monitor latency, cost, failures, and user outcomes after launch instead of treating deployment as the finish line.
RELEVANT PROOF
Case studies connected to this service.
CRM · TELEPHONY · AI
Zvonex CRM: sales, telephony, and AI in one workspace
A production-ready multi-tenant CRM where managers work with contacts, calls, tasks, messages, and AI insights in one auditable timeline.
Read case study ↗OUTBOUND VOICE AITelefonia: AI outbound calls connected to Bitrix24
A delivered production system for recovering missed inbound leads: it selects eligible CRM records, calls through Asterisk, holds a controlled natural-language conversation, schedules consultations, and returns the complete outcome to Bitrix24.
Read case study ↗SEARCH · TELEGRAMTechPlanner: engineering standards search without manual browsing
A production-ready search assistant that extracts heterogeneous technical documents, retrieves relevant passages in Russian and English, and controls access through a Telegram subscription workflow.
Read case study ↗COMMON QUESTIONS
Useful details before we start.
Can you integrate AI into an existing product?+
Yes. I can add a controlled AI boundary to an existing backend, CRM, support workflow, or document system.
How do you reduce hallucinations?+
I constrain the model with structured prompts, verified context, deterministic checks, explicit fallbacks, and scenario-based evaluation.
Do you build quick prototypes?+
Yes, when the goal is to validate a workflow. I keep the prototype architecture compatible with a later production phase where practical.
HAVE A REAL WORKFLOW TO IMPROVE?