MosenAI

MosenAI is a cloud platform that lets a company put its own AI agents to work — and it is the first product built inside the Leanicon studio.

What it is

An agent learns from that company's own material: manuals, procedures, FAQs, templates. It answers from that material rather than from generic internet knowledge, and cites the document each answer came from. Then it does the task the answer implies. Agents are assembled by dragging blocks on a screen, like drawing a diagram — no programming.

The problem

Three problems, chained:

• Knowledge is trapped. Companies accumulate documentation containing every answer they need, and nobody finds it in time. The result is the same questions asked repeatedly and answered inconsistently.
• Finding the answer is not the end. Someone still has to do the work — reply, book, register, draft, notify. That is where the time and the money actually go.
• Today's tools cover one half each. Generic chatbots talk but never act: they don't touch the calendar or the CRM. Classic automation acts but doesn't understand.

The gap

Between "AI that talks" and "AI that does the work" sits an unserved space: agents that understand a company's knowledge and are connected to its real systems — with the controls and the audit trail a business needs before it will trust them with anything.

What an agent does

• Searches the company's knowledge and answers with sources.
• Manages the calendar — check availability, book, reschedule, cancel.
• Acts in the CRM — contacts, opportunities, activity.
• Acts in the ERP — clients, suppliers, invoices, quotes, orders.
• Drafts documents as PDF, Word or Markdown, still editable afterwards.
• Generates spreadsheets with structured data.
• Sends email, SMS, WhatsApp, Telegram or Slack messages.
• Manages files in cloud storage.
• Searches the web and cites the results.
• Reads incoming documents, including text recognition and data extraction.
• Queries the company's own systems through custom connections.
• Hands the case to a person when it should.

How it gets used

• Connect the knowledge. Documents and sources are uploaded or linked, then organised and made searchable.
• Build the agent. A visual editor defines what it knows, how it speaks, what its limits are and when it escalates.
• Grant it tools. Calendar, CRM, email, document generation — permission by permission.
• Orchestrate processes. Agents and tools chain into multi-step flows with human review points.
• Publish. Web, WhatsApp, email, phone, or the client-facing app.
• Escalate. When a case needs human judgement, a person takes over with the whole conversation attached.
• Measure and improve. Statistics, the audit log and user feedback sharpen the agent over time.

One conversation, end to end

A prospect on a company's website asks the chat about the signup process. The agent answers from that company's documentation, notices buying intent, offers a call, checks the sales rep's calendar and confirms a slot. It creates the contact, logs the opportunity in the CRM, and notifies the sales team with the full context. Had the question needed human judgement, it would have passed the conversation to a person with the history attached.

One conversation. Several tasks completed. No manual work. A complete record of all of it.

Who it is for

Professional-services firms and companies — mainly small and mid-sized — that handle a lot of repetitive documentation and serve a recurring client base. Initial focus on Spanish-speaking markets.

Four priority sectors, in order:

• Financial — advisory, bookkeeping, tax and financial practices. Collecting client documentation, producing recurring reports, handling queries.
• Legal — firms and independent professionals. Drafting routine documents, scheduling consultations, answering process and status questions.
• Health and wellbeing — nutritionists, physiotherapists, trainers. Bookings and reminders, frequent questions, patient onboarding.
• Industrial — manufacturers and operators. Turning manuals and procedures into an expert a technician can simply ask.

Inside each company the departments that gain most are customer service, sales, operations, HR and administration. Every account has three kinds of user, and the product answers to all three: the contracting company's own clients, its employees, and the administrators who build, publish and govern the agents.

Where it runs, what it connects to

Nine channels, one agent: web chat, WhatsApp, Telegram, Slack, email, SMS, voice phone call, a mobile app and client web portal, and in-person sessions with transcription.

It plugs into what companies already use — HubSpot, Pipedrive and Holded; Google Drive, OneDrive and Dropbox; Notion and Confluence; Google Calendar; Slack, WhatsApp, Telegram and Twilio; Stripe; Amazon Cognito and Google sign-in. Anything else connects through configurable custom integrations. The list is open by design: the architecture allows new services without rebuilding the agents.

Why it is a Leanicon product

• AI-native, not AI-flavoured. Remove the model and there is no product left.
• A domain worth learning. Professional services run on documented, rule-bound procedure. Specific rules make specific products.
• A wedge, not a platform. One agent doing one recurring job properly, starting with the firms that feel the repetition hardest.
• A reason it is now. Models that reliably call tools and follow a procedure are recent. This was not buildable two years ago.