Lyncbase

Solution · Process automation

Processes that flow through. Without hand-offs.

We map your processes end to end, remove interfaces and hand-offs and automate what repeats. With AI, work that used to depend on text, emails and documents can be automated too.

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Starting point

Where time and money get lost.

Your contacts

  • Magnus HoppeSeven years at Porsche Consulting. Knows the questions midsize companies face from many digitalization projects.
  • Lukas MunkerHas been developing custom software for midsize companies since 2019, from concept to operation.

In most companies, the individual task is not what is slow. It is the path in between: data is retyped from emails, copied between systems, maintained in Excel and approved by group email. Every hand-off costs time and creates errors.

Traditional automation often fails on unstructured input such as free text, PDFs or scans. This is exactly where AI comes in: it reads, understands and classifies. That turns process optimization on paper into straight-through processing in daily work.

Approach

How we optimize your processes.

Understand first, then simplify, then automate. In this order, so a bad process does not just get faster.

  • Process mapping

    We walk through the processes with the people who run them every day. Where it helps, data from your systems completes the picture (process mining).

  • Process analysis

    Lead times, process costs, waiting times and sources of error per step. This shows where the biggest lever is.

  • Standardization

    Reduce variants, set rules, clarify responsibilities. Lean administration before a single line of code is written.

  • Reduce hand-offs

    Connect systems directly instead of transferring data by hand. Every hand-off removed saves time and avoids errors.

  • Process automation with AI

    AI agents read documents and emails, check them against rules and master data and trigger the next step.

  • People where it matters

    Where decisions carry weight, a person approves (human in the loop). Everything else flows through.

End-to-end processes

Processes that pay off most.

  • Order-to-cash

    From incoming order through confirmation and invoice to payment. AI reads orders from emails and PDFs and creates them in the ERP.

    KPI: Lead time, errors per order

  • Procure-to-pay

    From requisition through purchase order to the paid invoice. Invoices are matched automatically against purchase order and goods receipt.

    KPI: Cost per invoice, discount capture

  • Record-to-report

    From the accounting document to the month-end close. Reconciliations and reports are created automatically, and accounting reviews them.

    KPI: Days to close

  • Inquiry to proposal

    Customer inquiries are captured, classified and handed to sales with a draft proposal.

    KPI: Response time, win rate

Measurability

Efficiency you can see.

We measure before and after with the same KPIs. Typical ones are lead time, process cost per case and the share of cases that run through without manual intervention. That turns efficiency gains into a number, not a feeling.

What we measure

  • Lead time per case
  • Process cost per case
  • Straight-through processing rate
  • Number of manual hand-offs
  • Error and rework rate

Frequently asked questions.

What is the difference between process optimization and process automation?

Process optimization makes the process leaner: fewer steps, fewer hand-offs, clear rules. Process automation lets software execute these steps. We do both, in this order.

Do we need process mining?

Not necessarily. For many midsize companies, structured process mapping with the people involved is enough. If your systems provide good log data, we use it as well.

Which processes are best suited?

Processes with many similar cases, clear rules and a high share of documents or emails. Typical examples are incoming invoices, order entry and customer inquiries.

What happens to cases the AI does not recognize reliably?

They go to a person, with all information prepared. We set that threshold together.

How long does an automation project take?

A first process usually runs after a few weeks. We set the schedule in the implementation plan before we start.

Free AI Readiness Check

Let’s find out where AI pays off for you.

In the free AI Readiness Check, you see in about an hour where your biggest lever is.