// consulting · development · ai products
AI is here.Soon it will be a requirement.
We put it inside the software you already have, into your business processes, or into something new.
Practical examples
All use casesThe requests companies make to us most often.
Sales
Order requests
Orders arriving by email, as PDFs, on WhatsApp. An agent reads them, checks prices and availability in the ERP and prepares the order for confirmation.
Quotes and estimates
Specifications, drawings, three-line requests: for anyone working to order, every quote is a job in itself. AI finds similar past jobs and proposes line items, times and costs to validate.
Front office and admin
Email triage
The info@ inbox receives everything and someone has to sort it by hand. AI reads every email, gives it a category and forwards it to the right department. It replies to nobody: it routes.
Document analysis
Delivery notes, supplier confirmations, contracts, certificates. AI recognises every document, extracts the data for the ERP and flags what a person needs to look at.
Customers and support
Document assistant
Customers and colleagues ask questions, and the assistant answers using only your documents and the pages of your website. Every answer comes with its source, and when it does not know, it says so.
Technical support
Manuals, technical sheets and resolved tickets become answers with the source next to them, for the technician on site and for whoever answers the phone.
Management
ERP assistant
How the month went, which orders are stuck, what is missing from stock. Questions in plain language to the assistant you already use, with the answers taken from the ERP.
AI roadmap for SMBs
Everyone is pitching something with AI and nobody in the company can evaluate it. A technical counterpart who lines up the use cases and decides with you what to buy and what to build.
we integrate withTeamSystem · SAP Business One · Microsoft 365 · Gmail · WhatsApp · Slack · n8n · SharePoint · Confluence, and with any ERP that has an API or an export.
How the work goes
01 · week 1
Discovery
Processes, available data, constraints. You come out with a use case and an estimate.
02 · weeks 2–3
Prototype
A working prototype on your real data, measured against real cases.
03 · months 1–3
Integration
Inside the ERP, the CRM or the platform: permissions, logs, human control.
04 · ongoing
Evolution
Quality monitoring, swapping models, new use cases.
What we do
06 services- 01
LLM integration
Language models inside the systems you already run.
- 02
RAG and knowledge base
Company documents that answer, with their sources.
- 03
Process automation
Agents for the repetitive steps, humans where it counts.
- 04
AI-first MVP
From an idea to a working product in weeks.
- 05
MCP servers
Your systems become tools for any AI assistant.
- 06
Fractional AI/CTO
We decide with you on models and architecture, a few days a month.
model-agnosticOpenAI · Anthropic · Mistral · open-weight models on-premise. We pick for the use case, not out of habit.
Built and run by us
03 in productionIn production, with real customers, and maintained by us. If you are choosing a supplier they are the simplest proof: for each one we tell how we built it.
ConSergio.ai
The virtual concierge for your property
It answers guests in any language, day and night, and passes you only what needs you.
Thirty minutes to find out whether AI makes sense for you.
It is free. If AI is not needed, we will say so.