AI Assistants for Business
Secure, integrated AI assistants for support, operations, and customer workflows — built for real business processes.
We build AI assistants for business teams to automate support, onboarding, and internal operations with secure integrations and compliance-first data handling.
Our assistants are purpose-built for your data and workflows, with clear guardrails, auditability, and human handoff where it matters. From customer support to internal operations, we integrate assistants into CRM, helpdesk, and product systems so teams can scale without chaos.
Need workflow automation beyond assistants? See AI workflow automationfor operations and process automation.
LLM Integration & RAG-ready Knowledge Bases
We connect assistants to your real data with safe LLM integration and retrieval pipelines that stay accurate and controlled.
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Private knowledge bases with RAG and document retrieval
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Secure data access, role-based controls, and audit logs
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Structured responses grounded in policies and SOPs
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Hybrid deployments for EU data residency needs
AI Assistant Capabilities
Customer Support Assistants
- —Automated responses based on available product documentation
- —Context-aware support using permitted user data, depending on system configuration
- —Multilingual reply support (e.g. DE/EN/ES/PL/RU)
- —Escalation rules & human handover
- —Integration with Zendesk, Freshdesk, HubSpot, WhatsApp
Internal Operations Assistants
- —AI agents for sales, HR, finance, ops
- —Knowledge retrieval over internal documents
- —Auto-generating emails, summaries, briefs, reports
- —Task automation (CRM updates, ticket processing, routing)
- —Slack/Teams/Email assistants for internal teams
Customer-Facing Assistants
- —Customer-facing help widgets and in-app assistants
- —Structured onboarding and self-service flows
- —Lead qualification and routing workflows
- —Product guidance with controlled, safe responses
- —Human handoff and escalation paths
Multi-Step Workflow Automation
- —Agents that perform sequences of tasks
- —CRM syncing, enrichment, lead scoring
- —Document parsing + PDF generation
- —Email sequences and follow-ups
- —Webhook-based automations and background jobs
Why Teams Choose Our AI Assistants
When You Need AI Assistants
This service is ideal when you need:
AI support instead of large support teams
Agents that automate repetitive work
Assistants integrated deeply into CRM or operations
Smart FAQ/chat systems for websites or apps
A knowledge retrieval system across PDFs and documents
AI that understands your business, not generic replies
Workflow automation for sales, onboarding, HR, or legal
Tools & Technologies
LLMs & AI Stack
- —OpenAI
- —GPT-4.1/GPT-5 series
- —Llama 3
- —Mistral
- —custom local models
Search & Knowledge Base
- —Vector databases (Supabase, Pinecone, Qdrant)
- —Embeddings
- —document chunking
- —structured retrieval
Frontend & UI
- —Next.js
- —React
- —chat widgets
- —custom UI components
Integrations
- —HubSpot
- —Pipedrive
- —Bitrix24
- —Zendesk
- —Intercom
- —WhatsApp API
- —Slack/Teams
- —Email automation tools
- —internal systems
Automation & Workflows
- —Node.js workers
- —queues
- —background jobs (Redis/BullMQ)
- —Webhooks
- —CRMs
- —ERP systems
- —PDFs
Infrastructure
- —Vercel EU
- —Supabase EU
- —AWS EU
- —Docker
- —CI/CD
Process: How We Build AI Assistants
Step 1 — Knowledge & Data Audit
Document ingestion (PDFs, docs, sheets), Product & process mapping, Role and scope definition
Step 2 — AI Architecture & Retrieval Setup
Vector DB and embeddings, Custom instruction tuning, Data routing, memory, context windows
Step 3 — Assistant Development
Chat logic, workflows, reasoning tools, Integrations with CRM or internal systems, User interface (web, Slack, WhatsApp, mobile)
Step 4 — Launch & Optimization
Human-in-the-loop review, Accuracy and safety tuning, Analytics, logs, usage insights, Ongoing iteration and model updates
Example AI Assistant Work (Case Studies)
AI assistant for a B2B company handling a significant portion of recurring support inquiries in this specific implementation. Context-aware support assistant with CRM integration and multilingual support
Internal sales agent updating CRM records and writing follow-up emails. Automated sales assistant with document parsing and email generation
Website assistant qualifying leads and routing them to sales calls. Lead qualification assistant with intelligent routing and CRM integration
Onboarding assistant explaining product usage in multiple languages. Multilingual onboarding assistant with interactive flows and knowledge base
Legal document assistant analyzing PDFs and summarizing key sections. Document analysis assistant with PDF parsing and intelligent summarization
FAQ
Costs depend on scope, integrations, and data complexity. We provide fixed-scope options and retainers after a short discovery.
We use EU hosting options, access controls, audit logs, and data minimization based on your compliance requirements.
We integrate with CRM, helpdesk, and internal systems via APIs (HubSpot, Pipedrive, Zendesk, custom backends).
Yes — we build escalation paths to human agents and define safe fallback behavior.
Typical delivery takes 4–8 weeks depending on integrations, data readiness, and required workflows.
AI assistants for business teams with secure integrations, compliant data handling, and operational reliability. Services are tailored to each system and requirements.
AI assistants operate on probabilistic models. Outputs may vary in accuracy and completeness and require human review, especially in operational, legal, or customer-facing contexts.