Automation
Stop doing the same tasks over and over
Do you send the same reminders every week, chase approvals, or have to forward emails before anyone can act? It can run by itself. With automation, we set up the fixed steps in the programs you already use and pass the rest on to the right person. You get the hours back and can always see where a case stands.
- The problem
- Do you spend hours every week sending the same reminders and chasing approvals?
- What we do
- We make the fixed steps run by themselves and send the rest to the right person. You get the hours back and can always see where a case stands.
- What it costs
- First solution from 15,000 DKK at a fixed price. Operations from 2,500 DKK/mo. All prices excl. VAT. See all prices, and work it out for your own task
What it is and how it works
Automation completes a repeated task on its own; a workflow moves a piece of work from person to person in a fixed order, from request to result. Together they suit any team that repeats the same steps or hands cases between people. Once they run, time returns to work that needs a person, and everyone sees where a case stands.
An automation starts when something happens: a new invoice arrives, a form is submitted, or a date is reached. From there it follows a fixed set of steps until the task is done, the same way every time, without anyone opening the file or typing the reply by hand.
A workflow follows a case that needs people through its steps: who has it now, what they are meant to do with it, and where it goes next. Each step has an owner, a deadline and a status that anyone can look up, and the case arrives at the next person with everything they need attached, without anyone remembering to forward an email.
Most processes need both: automation for the steps nobody needs to review, and a workflow for the steps that need a person’s judgement. Some steps follow rules alone; others use AI where a step means reading something written in plain language, such as an email or a scanned document. That choice follows from the input: rules for a fixed field, AI for free text.
Either way, it runs inside the systems your team already uses. It carries out only the steps whose rules are known in advance, and hands off anything that falls outside them, the moment it does, to a person.
Where it fits
Accounting and bookkeeping
Collects receipts and bank statements from clients and files them before bookkeeping begins.
Property management
Creates a repair task and notifies the caretaker when a tenant reports a fault.
Service companies
Follows each customer enquiry from arrival to resolution, so none waits unread in an inbox.
How you get started
We always work in the same five steps. Here is what they mean for automation:
We look at your daily work We map the tasks your team repeats and follow each process from request to result: who does each step and where work waits.
We build the first solution We automate one task or build one workflow with its users: small enough to stop or change without harm, large enough that your team notices.
We put it to work for you It runs on your real systems, and your team puts real work through it as part of the daily routine.
We build on what works We add further tasks and processes step by step, reusing the steps and rules that worked.
We look after it We make sure they keep working, adjust them when your systems or organisation change, and keep improving them with you.
What it gives your company
Once a task runs on its own, nobody has to remember to do it, chase who did it last, or redo it because a step was missed under pressure. Once a process runs as a workflow, nobody has to ask where a case stands: the answer is visible to everyone who needs it, and a case cannot sit unread in an inbox for days.
That frees your team from the part of the work that never needed a person’s judgement, so their attention goes to the exceptions, the conversations and the decisions that do. It also removes a category of mistake and friction outright: the forgotten step, the field copied into the wrong column, the meeting held only to ask for a status update, the approval given days ago but never logged.
The effect compounds as more of a process is covered. With every step and its owner in one place, it becomes possible to see where cases actually slow down, and a person sees a case only where their judgement is needed, rather than at every handoff along the way.
Why Lynggaard Jardim
Lynggaard Jardim has two founders, not one. Alexander runs operations and finance; Victor runs development and IT. What we build is looked at from both the process side and the systems side before it goes live: one asks whether it still serves the business the way it is meant to, the other asks whether it will keep running once nobody is watching it.
We are based in Copenhagen, work across Denmark and build around the process your team already follows and the systems you already use, with AI where a step calls for it and plain rules where it does not, rather than asking your team to bend their work to fit a product built for someone else. An automation or a workflow that matches how your people already work is one they rely on without being told to.
Your data
As far as possible, your data stays with you, so we have no access to it. When it is necessary, we sign a data processing agreement.
An AI agent gets access only to the programs we have agreed with you in advance. Everything it does is written down, so you can see it afterwards. For the most important tasks, it stops and waits until a person has approved it.
The solutions themselves run in the EU, and we never publish your data. Which AI works in the solution depends on the setup. Wherever possible it runs on your own account, for example your own ChatGPT, and then your own terms apply. If you would rather use ours, it runs on our agreement, and then your data is not used to train AI. We follow the rules and your own requirements for data.