Implementation of intelligent AI assistants for support automation
Forget about script bots that annoy customers. We are developing next-generation AI assistants that understand context, speak in natural language, and instantly find answers in your knowledge base. This solution pays for itself by reducing the frontline support staff and significantly decreasing average handling time (AHT).
Implementation of intelligent AI assistants for support automation
Forget about script bots that annoy customers. We are developing next-generation AI assistants that understand context, speak in natural language, and instantly find answers in your knowledge base. This solution pays for itself by reducing the frontline support staff and significantly decreasing average handling time (AHT).
Implementation of intelligent AI assistants for support automation
We are implementing advanced assistants based on large language models (LLM) that are trained on your documentation and handle up to 90% of inquiries without human involvement.
Forget about script bots that annoy customers. We are developing next-generation AI assistants that understand context, speak in natural language, and instantly find answers in your knowledge base. This solution pays for itself by reducing the frontline support staff and significantly decreasing average handling time (AHT).
Core Capabilities
Your support can be instant and error-free
The modern customer is not willing to wait for an operator's response longer than 60 seconds. Traditional call centers are expensive, and regular chatbots often struggle with complex questions. Our AI assistants solve both problems: they provide instant responses and expert-level answers, using RAG (Retrieval-Augmented Generation) technology to work with your data.
Intelligence that works for your business
We don’t just set up a chatbot — we create a digital twin of your best support employee. The assistant deeply integrates into your processes:
- Training on your knowledge base: AI studies your instructions, regulations, and chat history to provide accurate answers that meet brand standards.
- Multichannel: one intelligence for Telegram, WhatsApp, website, and mobile app while maintaining the context of the conversation.
- Integration with CRM and ERP: the assistant not only answers but also acts: checks order status, changes data in the database, or schedules appointments.
- Seamless transfer to a human: if a request requires a non-standard approach, AI hands over the dialogue to an operator along with a brief summary of the issue.
Cost-effectiveness of the solution
Implementing an AI assistant is not an expense, but an investment in the scalability of your business.
| Indicator | Classic support | AI assistant |
|---|---|---|
| Response speed | From 5 to 30 minutes | < 2 seconds |
| Operating mode | By schedule (or expensive night shift) | 24/7/365 without days off |
| Cost of scaling | Hiring and training new people | Practically zero |
Stop wasting resources on routine
Give your employees the opportunity to tackle truly important tasks, while routine requests are handled by artificial intelligence. We will audit your inquiries and prepare a prototype of the assistant that will start delivering benefits in just 2 weeks.
Technology
Stack
Enterprise-grade tools for mission-critical systems.
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EXECUTION PROTOCOL
System Deliverables
Complete turnkey solution. Everything you need to launch.
We convert manuals, policies, and chat history into a searchable knowledge graph and vector store so the assistant finds exact answers instantly. RAG pipelines, embeddings, and relevance tuning reduce hallucinations and ensure brand-consistent replies.
Maintain conversation continuity across Telegram, WhatsApp, web chat and mobile apps with session-aware routing and memory. The assistant preserves context, handles attachments, detects language, and formats responses per channel constraints.
Bi-directional connectors allow the assistant to check orders, update records, create tickets and schedule appointments without manual intervention. We implement secure authentication, idempotent operations, and audit logs to make automated actions safe and reversible.
When a case requires human judgment, the assistant hands over the conversation with a concise summary, suggested replies, priority and relevant records. This reduces agent handle time and eliminates context-switching.
Comprehensive dashboards track AHT, deflection rate, CSAT and escalation volumes while powering an active learning loop. Continuous labeling, A/B tests and model monitoring keep the assistant aligned with business goals and reduce drift.
Related Projects
Portfolio
Showcase
Explore our previous implementations and successful deployments of Implementation of intelligent AI assistants for support automation.
Technical Specifications
We implement a hybrid architecture that couples Retrieval-Augmented Generation (RAG) with domain-tuned LLMs, vector databases for semantic search, and a middleware layer for orchestrating channels and business logic. The stack includes monitoring, caching, and autoscaling to guarantee sub-second response times and high availability.
We deliver a working prototype within two weeks after auditing your inquiries. The full implementation follows discovery, integration, training, pilot, and gradual roll-out with tuning based on live metrics and user feedback.
We implement strict controls: encryption in transit and at rest, role-based access, audit logs, and data minimization. For regulated industries we offer on-prem or private-cloud deployment, PII redaction, and contractual guarantees for GDPR/HIPAA compliance where required.
The assistant not only answers but performs actions: checking order status, updating records, scheduling, and initiating workflows. We provide ready-made connectors and a low-code orchestration layer for defining safe, auditable automations across channels.
Expect response times under 2 seconds for retrieved answers, significant reduction in average handling time (AHT), and high first-contact containment. ROI is achieved through agent deflection, fewer escalations, and reduced staffing for routine inquiries.
