01Agentslive demo
Agents that don’t just answer. They act.
Support, lead qualification and back-office — wired into your tools.
Support agent · onlineWhatsApp
Lotus Libre Agents
AI agents that resolve, qualify and process — in production.
Narrow agents with a measurable job: resolve a ticket, qualify a lead, post an invoice. Wired into your helpdesk, CRM and ERP, with a human on every risky step.
01The problem
Most AI pilots never reach the P&L.
Teams are drowning in repetitive tickets, slow lead follow-up and manual data entry — while AI experiments stall in demo mode. The difference is engineering: integrations, custom actions, evaluation and ownership.
~95%
of generative AI pilots show no measurable P&L impact, according to MIT NANDA.Fortune / MIT NANDA (opens in a new tab)
67%
success rate when companies buy from a specialised partner — roughly twice the rate of in-house builds.Fortune / MIT NANDA (opens in a new tab)
70%
of service teams using AI agents see measurable impact within 60 days.Salesforce, 2026 (opens in a new tab)
02What we build
Agents with a job description.
01
First-line support agent
Answers and acts on top of Zendesk, Intercom, Gorgias or Freshdesk: order status, returns, subscription changes, bookings. Multilingual, with handover to a human when confidence drops.
02
Lead response & qualification
Replies to every inbound lead in under a minute by email, chat or SMS, qualifies against your criteria, books the meeting and updates HubSpot or Salesforce.
03
Documents & back-office
Reads invoices, orders and claims from email and PDF, checks them against your rules and posts them to your ERP. Exceptions go to a person, not into a void.
04
Knowledge assistant
Answers staff questions from Confluence, SharePoint or Drive with citations and access rights respected — hosted in the EU if you need it.
05
MCP connectors
Model Context Protocol servers that give agents safe, logged access to your internal systems — the open standard now stewarded by the Linux Foundation.
06
AI Ops & evaluation
Evaluation sets, monitoring, token budgets and monthly quality reports, so the agent gets better instead of drifting.
03How it works
Watch an agent work a ticket.
The demo below is the same pattern we deploy: understand the request, call a real tool, answer, log the outcome.
Understand
Intent and language are detected; sensitive data is masked before it reaches any model.
Act
The agent calls your systems through scoped tools — ERP, calendar, CRM — never with more access than the task needs.
Answer & log
The customer gets a precise answer; the outcome, cost and transcript land in your helpdesk and our dashboard.
Escalate
Low confidence or risky actions (refunds above a limit, legal topics) go to a person with full context.
04Packages & prices
Priced like a product, built like software.
Support Agent
from €0.90
per resolved conversation
Setup from €7,000- Helpdesk integration and custom actions
- Multilingual answers from your knowledge base
- Human handover with full context
- Monthly quality report
Lead Response
from €2,000
setup
Run from €350/mo- Reply in under a minute, 24/7
- Qualification against your criteria
- Meeting booking and CRM update
- Consent-safe follow-up
Knowledge Assistant
from €7,000
one-off build
Care from €1,200/mo- Up to 3 sources to start
- Answers with citations
- Access rights respected
- Evaluation set included
Document automation is quoted after a short paid pilot on your real documents. Model usage is paid at cost or included as stated. Prices exclude VAT.
05Timeline
From audit to a live agent in about six weeks.
- Day 0
15-min audit
We pick the workflow with the clearest payoff.
- Week 1
Discovery
Process map, data check, success metric.
- Weeks 2–5
Pilot
Live on real tickets, weekly demos.
- ≈ Week 6
Launch & Care
Roll-out, handover, monitoring.
06FAQ
Frequently asked questions
How is an AI agent different from a chatbot?
A chatbot answers questions. An agent completes tasks: it looks up the order in your ERP, reschedules the booking in your calendar or creates the deal in your CRM — and logs what it did. We define exactly which actions it may take and which always go to a person.
What does “per resolved conversation” mean?
You pay when the agent closes a request without a human taking over. We define “resolved” in the contract and make it verifiable in the logs, so there is no argument about what counts.
Will it work with our helpdesk and CRM?
Usually yes: Zendesk, Intercom, Gorgias, Freshdesk, HubSpot, Salesforce, amoCRM, Bitrix24 and most systems with an API. Where an off-the-shelf platform agent already covers your case, we will tell you — and focus on what it can’t do.
What happens when the agent is unsure?
It hands over to a person with the full conversation and its own summary. Thresholds, blocked topics and refund limits are configured with you during the pilot.
Which models do you use?
We are model-agnostic: we pick the model per task for quality, speed and cost, and can switch vendors without rebuilding the agent. For EU clients we offer EU-hosted options.
07Insights
Related articles
AI agents12 min read
AI Agents for Business in 2026: What Works and What Is Hype
Which AI agents deliver ROI in 2026 and which are hype: adoption data, per-resolution prices, five proven use cases and a 90-day plan for SMBs.
AI agents9 min read
AI Customer Support Agent: Resolve Tickets, Not Just Answer
How to build an AI support agent that resolves tickets in Zendesk, Intercom or Gorgias: architecture, actions, per-resolution prices and a 4-week pilot.
AI agents9 min read
AI Document Processing for the Back Office: Invoices and Claims
AI document processing in 2026: automate invoices, email orders and claims with LLM extraction, validation and human review. Costs, ROI and pitfalls.