Support chatbots (resolving 70% of tickets without a human), sales assistants that qualify leads in 30 seconds, voice agents for phone bookings, internal agents built on your own docs. Live in 3-6 weeks.
Resolves 60-80% of tickets in 4 languages (RO/EN/HU/DE). Continuously learns from tickets resolved by humans. Automatic escalation on edge cases (refunds, complaints).
RAG on knowledge base
Multi-channel: web, WhatsApp, email
Sentiment detection + escalation
Intercom/Zendesk/HubSpot integration
GDPR-ready audit log
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Sales Qualification Agent
Lead qualification in 30 seconds: BANT/MEDDIC framework. Automatic scoring + next-best-action in your CRM. Direct booking into the right rep's calendar.
BANT / MEDDIC qualification
Lead scoring + CRM routing
Direct booking with the rep
Multi-language outbound
Prompt A/B testing
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Voice Agent (Phone)
Phone bookings (clinics, auto service, restaurants). GDPR-compliant recording with automatic transcript. Smooth handoff to a human operator when needed.
Whisper STT + ElevenLabs TTS
<800ms end-to-end latency
GDPR recording + CRM transcript
Multi-tenant (multiple locations)
Warm handoff to operator
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Internal Knowledge Agent
Answers from internal docs (Confluence, Notion, SharePoint, Google Drive) with granular per-team permissions. Full audit log for compliance.
RAG on Confluence/Notion/Drive
Granular per-user permissions
Audit log + compliance trail
Native Slack/Teams bot
Source-linked citations
0%
average ticket
deflection
live support agent
0s
average lead
qualification
vs 4-8 hours manual
0 wks
time to first
live pilot
discovery → prod
0%
GDPR & audit-ready
full log
ISO 27001 stack
Case Study · B2B SaaS
B2B SaaS: 72% deflection and 4.2× ROI in 90 days
SaaS B2B90 days
72%
ticket deflection · 4.2× ROI · 18,400 EUR saved/month
B2B SaaS with 12,000 tickets/month (5 people in support, equivalent to ~21,000 EUR/month). Built a support agent on Claude Sonnet 4.5 + Pinecone (12,000 docs indexed) + custom Stripe/Intercom tools + human handoff for refunds/churn cases.
Tickets deflected0%72%
FRT (first response)4.2h8s
Support cost / month21,000 EUR2,600 EUR
Stack & Decisions
Main LLMClaude Sonnet 4.5 (reasoning)
Vector DBPinecone · 12,000 docs indexed
Tool callingStripe + Intercom + Salesforce
Human handoffRefunds, churn, complaints
ObservabilityLangSmith · token cost tracking
Result in 90 days
72% of tickets resolved without a human, FRT dropped from 4.2h to 8 seconds, the support team refocused on edge cases and expansion accounts. Payback in 11 days.
FAQ
Questions about AI Agents
Measurable pilot in 3-6 weeks: weeks 1-2 discovery + use-case scoping, weeks 3-4 build (RAG, prompt engineering, tools), weeks 5-6 testing + soft launch on 10-20% of traffic. Scale after 30 days once the pilot is validated.
Default: Claude Sonnet 4.5 (main reasoning) + GPT-4o-mini for cheap classification + text-embedding-3-large embeddings. We can also use Gemini 2.5, Llama 3, Mistral. The choice depends on the cost/quality/latency trade-off of the use case.
Retrieval-Augmented Generation means the agent searches your knowledge base (docs, past tickets, KB) before answering. This eliminates hallucinations and enables source citations. We use Pinecone/Qdrant for the vector DB plus Cohere reranking for relevance.
Yes, 100%. DPA contract with OpenAI/Anthropic (zero training on your data). EU data hosting when required (Azure OpenAI EU, Anthropic via AWS Bedrock EU). Full audit log, consent management, right-to-be-forgotten implemented. ISO 27001 ready.
At 3 levels: 1) low confidence → request clarification; 2) sensitive topic (refund, complaint, legal) → direct handoff to a human with full context; 3) ambiguity → escalation with the conversation transcript. The human operator sees the history plus an AI recommendation.
Whisper-large-v3 for STT (RO/EN/HU/DE), Claude/GPT for reasoning, ElevenLabs Turbo v2.5 for TTS (<300ms latency). Orchestration via LiveKit Agents or Vapi.ai for telephony. End-to-end latency 600-900ms.
Pilot: 6,500-9,500 EUR one-time for the build. Monthly operation: 800-3,500 EUR/month (LLM token cost + hosting + observability + tweaks). For 12,000 conversations/month (B2B mid-market support), average cost is 1,200-1,800 EUR/month.
60-minute AI audit · free
What's the AI use case with the highest ROI for you?
A 60-minute workshop with your team. We identify 3-5 use cases with calculable ROI plus an effort/impact priority matrix. The output stays yours, whether or not we end up working together.
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60-min workshop with your team
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Priority matrix, 3-5 use cases
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ROI calculated on your data
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4-8 week pilot plan included
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