Typical questions we come across, and how we tackle them. For each example you see the situation, our approach, the services and what we measure.
Illustrative examples based on common questions. Not client results.
Situation. Sales, stock and planning use separate lists and duplicate entry.
Approach. Process analysis, a supported ERP decision and phased introduction with the software partner. Teams test and practise with their own work.
Situation. Project information is scattered across inboxes, drives and personal folders.
Approach. A shared workplace, clear document owners and access rights. On-the-job days help teams apply new agreements.
Situation. Leadership receives different reports with inconsistent definitions and a lot of manual work.
Approach. Connect sources, agree definitions and build a dashboard with process owners. AI is considered only where it adds concrete value.
Situation. Twenty staff answer maintenance, warranty and fault questions every day. The knowledge sits in folders and with experienced colleagues.
Approach. An AI application on approved procedures and product information, tested on fifty real questions, plus on-the-job days until the team works independently.
Situation. Sales reps gather specifications, prices and lead times from different systems.
Approach. An agent builds a draft quote from the ERP and product sheets. The sales rep checks and sends it.
Situation. Incoming invoices and purchase documents are entered and checked manually.
Approach. Document processing reads and checks invoices and prepares them in the accounting software. Exceptions go to an employee.
Situation. A firm wants to use AI on confidential files that may not leave its own environment.
Approach. A shielded, EU-hosted knowledge environment linked to document management, with access per case.
Situation. Teachers and administrative staff use AI in their own way, without a shared framework.
Approach. Inventory, a short AI policy with concrete guidelines, a register of approved tools and sessions per target group.
Situation. Reports, parent communication and planning take a lot of time outside the classroom.
Approach. Templates and a guided way of working with AI within the school policy, with training on their own examples.
Situation. A municipality answers many similar questions about permits, waste and counter services.
Approach. A knowledge assistant on approved information for counter staff, with an AI register and clear escalation.
Situation. Planners combine orders, capacity and exceptions across different tools.
Approach. A planning assistant brings the data together and makes a proposal. The planner decides and adjusts.
Situation. The bill for cloud, licences and AI rises without a clear overview.
Approach. Cost and CO2 scan, cleanup of unused capacity and a smaller model where that is enough.
Tell us which work takes too much time today. We translate it into a concrete first programme.