AI that reads and prepares your cases – under your rules

What it is and how it works

An AI agent is a program that reads an enquiry, works out what needs to happen and gets the case ready – using only the tools you give it. It suits tasks too varied for fixed rules.

A fixed automation follows one path decided in advance. An AI agent instead reads a task, works out which of its allowed tools to use and in what order, and adapts that plan as it goes, the way a person would when a case does not match the usual pattern exactly.

The agent itself is only one part of what we build. Around it sits the infrastructure that makes it safe to run in a real business: access rights that limit which programs and information it can get into, a log of every action it takes and why, and named points where it stops and waits for a person to approve before going further.

Because the agent plans rather than follows one script, it can handle a wider range of cases than a rules-based automation without a new rule being written for each variation. What it cannot do is act outside the tools it was given, which is by design: the tools it has access to are exactly the boundary of what it can affect.

Where it fits

• Insurance

  Reads new claims, requests missing documents and prepares each case for a claims handler.

• Retail and e-commerce

  Answers order and return questions from the order system and passes unusual cases to a person.

• Recruitment agencies

  Compares applications with a role’s requirements and prepares a shortlist for a recruiter.

How you get started

We always work in the same five steps. Here is what they mean for AI agents:

1. 1 · We look at your daily work We find the tasks that are too varied for fixed rules, and agree with you what an agent may and may not do.
2. 2 · We build the first solution We build one agent for one task with limited access, and your team checks its work before it goes out.
3. 3 · We put it to work for you The agent works in your real systems, with its own access rights and a log you can read.
4. 4 · We build on what works We widen its tasks or add agents step by step, based on what it has done and your team’s experience.
5. 5 · We look after it We review its work, update its instructions as your business changes and keep it running.

What it gives your company

An agent takes on the tasks that were previously too varied to automate outright but too repetitive to keep asking a person to do from scratch each time, such as reading an incoming request and preparing it for someone to act on. That work stops competing for a person’s attention against the parts of the job only a person can do.

If the agent goes wrong, you can see where it happened. So a wrong step is caught and corrected the same way a person’s mistake would be, not discovered much later with no trail back to its cause.

The approval points built into the agent mean your team decides, up front, which decisions still need a person and which do not, rather than that boundary being set implicitly by whatever the software happens to allow. That boundary can move in either direction as you get to know the agent.

Why Lynggaard Jardim

Victor runs development and IT at Lynggaard Jardim; Alexander runs operations and finance. An agent that touches both your processes and your systems needs exactly that pairing of judgement before it is trusted with anything real.

We are based in Copenhagen, work across Denmark and build the access rights, the log and the approval points around each agent ourselves, rather than switching on a generic assistant and hoping the guardrails that come with it happen to fit your business. An agent with rules that were written for your company is one your team can actually trust with real work.