Packaged AI product · 30 days
24/7 AI customer service agent. Integrated into your stack.
A conversational system that resolves 70% of queries without human intervention. Email, WhatsApp Business, web chat, CRM. RAG over your knowledge base + configurable SLAs + smart escalation to human agents when needed. Operational handoff to the client's team in 30 days.
In brief
What does a 24/7 AI customer service agent do?
A 24/7 AI customer service agent is an LLM + RAG conversational system that answers customer queries over email, WhatsApp Business and web chat. It uses your private knowledge base (manuals, FAQs, past tickets), executes real actions in your CRM (creating tickets, booking meetings), applies GDPR guardrails and escalates to humans when it detects complexity.
cronuts.digital delivers it as a package for 2,400 € one-off, 30 days: kickoff, RAG ingested, 2 channels + 1 CRM integrated, prompt engineering with brand voice, 200+ case test suite, gradual deploy and SOPs. It resolves 70% of tickets without a human. EU cloud or on-premise infra. Optional maintenance from 300 €/month.
B2B companies with a cronuts AI agent in production
62% of B2B tickets are repetitive questions. You pay for premium human support to do tasks that AI handles in seconds.
Get the agent · 2,400 € →What it does · agent capabilities
Six capabilities. All included in the fixed price.
It is not a rules-based chatbot. It is an AI agent with RAG over your knowledge, real actions in your CRM and human escalation when needed. Live from day 30.
Conversational · multichannel
Email · WhatsApp · web chat
One single agent that answers across every conversational channel. Context shared between sessions. Tone calibrated to your brand voice. Never a robotic "I am an AI".
Private RAG
Your company's knowledge
We ingest your manuals, FAQs, contracts, internal wiki and past tickets. The agent answers citing the source. Automatic update when you change docs.
CRM actions
Executes tasks, not just answers
Creates tickets in HubSpot, books meetings in Calendly, updates deals in Pipedrive, sends DocuSign. Configurable to your sales flow.
Smart escalation
Frictionless human handoff
When a case is complex or sensitive, the agent routes it to the right person with full context. Configurable by SLA, topic, sentiment or explicit user request.
Guardrails · compliance
GDPR + brand safety
Topic filters, prompt injection prevention, auditable logs, consent tracking. Banned phrases set by your brand. Data hosted in the EU if you require it.
Analytics · continuous improvement
Operational dashboard
Tickets resolved, average time, escalation rate, emerging topics, CSAT. Integrated with your Digital Hub if you have a retainer. Monthly review with your CSM.
Tech stack · integrations
Integrated with your current stack. No lock-in.
We use OpenAI, Anthropic or open-source models depending on the case. RAG over your private KB with pgvector or Weaviate embeddings. Native connectors to the most common CRMs and conversational channels. On-premise infra if your compliance requires it.
- LLM: OpenAI GPT-4o · Anthropic Claude Sonnet · open-source (Llama, Mistral) depending on the case
- Vector DB: pgvector (PostgreSQL) or Weaviate · full control of your data
- Channels: WhatsApp Business API · Gmail / Outlook · Intercom · own web chat
- CRMs: HubSpot · Pipedrive · Salesforce · Holded · custom via REST
- Orchestration: n8n / Make · observability with LangSmith / PostHog
- Infra: EU cloud (AWS Frankfurt / GCP Madrid) or on-premise for regulated sectors
6 native integrations
- 01Channel
WhatsApp Business API
- 02Channel
Gmail / Outlook / IMAP
- 03Channel
Embedded web chat
- 04CRM
HubSpot · Pipedrive · Salesforce
- 05Knowledge
Private RAG · your own KB
- 06Analytics
Digital Hub · analytics
Fixed price · 2,400 €
One-off payment. Delivered in 30 days. Operational handoff with SOPs. No mandatory retainer. Optional maintenance from 300 €/month.
How it is deployed
30 days. Agent in production. Your team running it.
Fixed timeline. Kickoff in week 1. Training + integration in weeks 2-3. Go-live + handoff in week 4. SOPs and training for the client's team included.
Week 01 · Discovery
KB + flows + guardrails
We inventory your knowledge base (FAQs, manuals, past tickets). We map critical flows and escalations. We define brand and compliance guardrails. Infra setup (EU cloud or on-premise).
Weeks 02-03 · Build
RAG + connectors + tests
KB ingestion into the vector DB. Channel integration (WhatsApp, email, chat) and CRM. Prompt engineering with brand voice. Test suite with 200+ real cases. Iteration with your team.
Week 04 · Go-live + handoff
Production + training
Gradual deploy (10% → 50% → 100% of traffic in 5 days). 2 h training for the team. Documented SOPs (update the KB, adjust guardrails, review escalations). Operational dashboard live.
Real cases · verifiable numbers
AI agents with operational impact.
German School: the AI agent resolved 68% of admissions queries. 124 qualified leads without a human.
Eninter: the AI agent handles 72% of maintenance queries with no night shift.
Proddigia: the AI agent qualifies real estate leads 24/7 at a CPL of 32.60 €.
AI agent truths 2026
Six things chatbot companies won't tell you.
62% of B2B tickets are repetitive questions. Paying human support to handle them burns margin.
Rules-based chatbot ≠ AI agent. Without RAG + LLM, the bot breaks on the third question.
Agent without guardrails = risk. Prompt injection, GDPR leaks, brand accidents. We include control.
Without human handoff, the customer gets stuck. Smart escalation by sentiment and complexity.
An agent that only "answers" is not enough. Executing CRM actions is what changes operations.
Open-ended AI projects with no delivery = black hole. We productise: 30 days, fixed price.
Verified reviews · COOs, Customer Success, Support
Companies with a 24/7 AI agent resolving tickets.
AI agent vs alternatives
AI agent, rule-based chatbot and human team: 8 dimensions head to head.
The common mistake in B2B purchasing is comparing monthly price without measuring coverage, context or escalation. This table sums up how each option behaves at 1,000 interactions/month.
| Dimension | cronuts AI agent | Rule-based chatbot | Human team |
|---|---|---|---|
| 24/7 coverage | Yes, no shifts | Yes, but without context | Covered shifts only |
| Monthly cost at 1,000 interactions | ~300 €/month maintenance (optional) | 80–250 €/month platform | 2,800–4,500 €/month (1 FTE) |
| Average response time | 2–6 seconds | Instant (if there is a match) | 3–18 hours (B2B average) |
| Peak capacity (×10 tickets) | Linear with no new hires | Linear but fails on new cases | Impossible without hiring ahead |
| Context understanding | RAG over KB + intent classification | Keyword-based decisions | High, but varies by person |
| CRM and ticketing integration | HubSpot, Pipedrive, Zendesk, Intercom included | Custom via Zapier/API | Manual, depends on the agent |
| Continuous learning | Versioned KB + weekly feedback loop | No: rules must be rewritten | Yes, but lost when the person leaves |
| B2B mid-market fit 500K–100M € | Optimal from 100 interactions/month | Only valid for simple FAQs | Needed for complex cases and signing |
Takeaway: the AI agent does not replace the human team, it frees them from the routine 70% so they can focus on bigger accounts and closing deals. More context in packaged AI products and in our method.
Resolution rate benchmark
Auto-resolution rate by B2B sector.
Aggregated data from cronuts deployments and the Zendesk CX Trends 2025 + Salesforce State of Service 2025 benchmarks. Resolution without human escalation after 90 days in production and 200+ fine-tuning cases.
| B2B sector | Auto-resolution without a human | Average response time | CSAT post-deploy |
|---|---|---|---|
| Legal tech / law firms | 62 % | 4 s | 4.4 / 5 |
| Industrial / machinery | 71 % | 3 s | 4.5 / 5 |
| E-commerce B2B | 78 % | 2 s | 4.6 / 5 |
| SaaS / software | 74 % | 3 s | 4.5 / 5 |
| Education / EdTech | 68 % | 5 s | 4.3 / 5 |
| Healthcare / health | 55 % | 6 s | 4.2 / 5 |
Healthcare is lower because of strict compliance (more answers escalated to a human by default, not because of agent error). Clinical cases always require human review before going out.
12-month ROI · base scenario 800 interactions/month
| Initial AI agent investment (one-off payment) | −2,400 € |
| Optional maintenance 12 months (300 €/month) | −3,600 € |
| Human hours saved (70% of tickets × 8 min × 1,728 tickets/year × 28 €/h) | +11,290 € |
| Off-hours sales captured (conservative estimate 6 leads × 1,200 €) | +7,200 € |
| Churn reduction from SLA < 6 s vs > 8 h (1% of a 50-account base × LTV 6,000 €) | +3,000 € |
| Net 12-month ROI | +15,490 € |
Conservative scenario. Companies with > 2,000 interactions/month exceed 30,000 € net ROI. Client assumptions: 28 €/h fully loaded cost, average ticket 8 min of human handling, 6 leads/month captured off-hours that were previously lost.
Vocabulary · C-level decision-maker
Conversation glossary: 8 terms before you sign.
- AI agent
- Autonomous system that reasons, plans and executes actions to resolve a customer conversation without human intervention, able to escalate when it goes beyond its scope.
- Rule-based chatbot
- Traditional bot with a keyword decision tree. Fast but rigid: it fails when the customer phrases the question differently or brings in new context.
- Intent classification
- Layer that classifies the user's real intent (return, complaint, quote, technical support) before generating an answer. A key lever for routing correctly.
- RAG (Retrieval-Augmented Generation)
- Pattern that feeds the LLM with your private knowledge base on every query. The agent cites its source and stops hallucinating. More in enterprise private RAG.
- Human escalation (handoff)
- The point at which the agent recognises it should not continue alone and hands the case to a human with all prior context. Without a well-designed handoff, the agent damages the brand.
- Guardrails
- Hard rules that constrain the agent: banned topics, vetoed phrases, mandatory source citation, confidence thresholds. Without guardrails, the agent is a source of legal risk.
- Conversational AI
- Category covering conversational AI agents built on LLMs (GPT-4o, Claude, Gemini), different from classic chatbots in that it understands context and keeps memory of the conversation.
- Automated NPS
- Post-conversation NPS survey sent by the agent when closing the interaction. It detects quality drift before it shows up as churn. A metric we report every month under maintenance.
More B2B vocabulary in Growth Marketing · cronuts Method · Client cases.
Frequently asked questions
What COOs and Customer Success teams ask us before signing.
What exactly is included for 2,400 €?
What if the 30 days run out and it is not ready?
Is maintenance mandatory?
Which LLM do you use? Does my data go to OpenAI?
What happens if the agent gives a wrong answer?
What company size is a good fit?
Can I add more AI products later?
How do I pay? Is there a bundle discount?
Get started · 2,400 € · delivery in 30 days
24/7 AI agent in production in 30 days.
Fixed price. Scope written into the contract. EU or on-premise infra. Operational handoff with SOPs to your team. Integration with 2 channels + 1 CRM included. Payment 50% at kickoff + 50% at go-live.