AI for business

AI for business: where it actually pays off

AI isn’t a goal, it’s a tool. These are the scenarios we see most in SMEs and mid-sized companies. Each one has a problem, a solution and a measurable goal.

01 Customer service

Customer service agent for email and WhatsApp

Problem: Your team answers the same questions about delivery times, order status and returns every day.
Solution: An agent reads incoming messages, looks up the order status in your system and drafts a reply. Hard cases go to a colleague.

LLMHelpdesk integrationWhatsApp API

Measurable goalFaster response times and less manual work per ticket

02 Back office

Automatic invoice and document processing

Problem: Purchase invoices, packing slips and forms are retyped by hand.
Solution: AI reads PDFs and photos, extracts the fields, checks them against purchase orders and stages them in your accounting system.

Document AIOCRAccounting integration

Measurable goalLess retyping and fewer errors

03 Sales

Quotes in minutes instead of hours

Problem: Writing quotes takes time: finding specs, calculating prices, writing the text.
Solution: An assistant turns a request and your price lists into a draft quote in your house style. The salesperson reviews and sends it.

LLMCRMTemplating

Measurable goalLead time from request to quote

04 Operations

Predictive maintenance from sensor data

Problem: Machines, vehicles or installations fail without warning.
Solution: We read sensor data (CAN, Modbus, IoT), spot abnormal patterns and warn you before something breaks. We already do this for EV batteries.

TelemetryAnomaly detectionEdge

Measurable goalLess unplanned downtime

05 Knowledge

Internal knowledge assistant over your own documents

Problem: Knowledge is scattered across manuals, SharePoint, email and the heads of senior staff.
Solution: A private AI assistant that answers with sources, using only documents the user is allowed to see. Runs in the EU or on-premise.

RAGPrivate LLMAccess control

Measurable goalLess search time and faster onboarding

06 Operations

Field-service scheduling and routing

Problem: Planning technicians or drivers takes hours of puzzling every day.
Solution: A planning assistant combines appointments, locations, skills and urgency, proposes a schedule and adjusts it when things change.

OptimisationMaps APIAgent

Measurable goalMore jobs per day, fewer kilometres

07 Production

Visual quality inspection with a camera

Problem: Defects in products or parts are spotted too late, or not at all.
Solution: A camera with an on-device AI model flags defects on the line. No images go to the cloud.

Computer visionEdge AICamera

Measurable goalFewer rejects at the customer

08 Knowledge

Reports and management information on demand

Problem: Numbers live in five systems, and building a report takes days every month.
Solution: A data agent pulls data from your systems, answers questions in plain language and writes weekly summaries.

SQL agentDashboardsBI

Measurable goalHours per report, freshness of numbers

How do we find the right scenario for you?

We look at three things: how often a task happens, how much time or error it costs, and what data already exists. Where those three meet, AI pays off fastest.

In a two-week AI scan we map your processes, estimate the savings for each opportunity and pick one pilot together, with an estimate in hours up front.

AI agents vs. chatbots

Many agencies call any chatbot an “agent”. A real AI agent does the work: it reads your inbox, looks things up in your ERP, drafts a result and puts it up for approval. We build agents with clear rules, logging and a human in the loop where it matters.

Private AI →

Architecture

How an AI agent works

An AI agent reads email, documents and tickets, works through integrations with CRM, ERP and calendar, and asks a member of staff to approve the result before it is sent.

How we work

Start small, prove it fast, then scale

Every phase has an up-front estimate in hours and a clear outcome. After each phase, you decide whether we continue.

± 2 weeks

AI scan

Map processes, estimate opportunities, pick one pilot with a clear goal.

4–6 weeks

Pilot

A working prototype on real data, tested by your own team.

6–12 weeks

Build

Make it production-ready: integrations, security, permissions, tests and docs.

Ongoing

Run

Monitor, measure and improve. Cancellable monthly.

Where is your business losing time or money right now?

Book a free 30-minute call. You get honest advice on what we would build, what it costs and what it returns, even if you don’t work with us afterwards.

Book a free call → WhatsApp · +31 6 27 33 86 06