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Process automation consulting for efficient business processes.

We identify the processes with the greatest economic leverage, assess effort, risk and technical feasibility, and develop a prioritised automation roadmap. So you know before implementation what will pay off - and what will not.

Because experience counts!
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02 - Scope of services

How does our
automation consulting work?

Automation consulting creates a solid basis for decision-making before any technical implementation. To that end we analyse workflows, systems, data and responsibilities, evaluate potential automation candidates and calculate the economic benefit. The result is not a generic digital strategy but a concrete plan: which processes should be automated first, which technology is suitable, which dependencies exist and when the investment is expected to pay off.

01

Process analysis

We capture your workflows as they really run: in conversations with the people who do the work. Systems, data, handovers, exceptions - in the end, an honest as-is picture is on the table.

Interviews Data flows As-is processes

02

Potential assessment

Every process is assessed against the same criteria: volume, time spent, standardisation, data quality, risk, integration effort. The result is a comparable ranking - instead of gut feeling.

8 criteria comparable traceable

03

Business Case

For the best candidates we weigh benefit against cost: expected savings, one-off effort, running costs, risks. All assumptions are stated in the document - you decide based on numbers.

Benefit vs. cost Assumptions disclosed Ranges

04

Automation roadmap

The result: a prioritised sequence based on benefit, effort and dependencies - with a clear recommendation for the first pilot process. Documented vendor-neutrally, the roadmap belongs to you.

prioritised vendor-neutral Pilot defined

03 - Suitability

Which processes are suited to automation.

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01VolumeHow often does the process occur - daily, weekly, seasonally?
02Time spentHow many hours does it tie up each month - and for which specialists?
03StandardisationHow clear are the rules and target outcome - how many exceptions are there?
04Data qualityAre inputs digital and reliable - or paper, scans and word of mouth?
05Cost of errorsWhat costs arise from errors, rework or idle time?
06IntegrationWhich systems and interfaces are involved - what is still missing?
07RiskWhich decisions strictly require human approval?
08Economic viabilityWhen does the implementation pay for itself - in months or only in years?
Check suitability

Particularly well suited: recurring processes with high volume, manual data transfers and digital inputs - not every inefficient process should be automated right away.

If a workflow is unclear, unstable or full of exceptions, it is often simplified first. That is why we distinguish: directly automatable, automatable with preparatory work - or not economically viable.

Check suitability in an initial consultation

Often well suited:

recurring volume with high manual processing time

digital inputs and clear target outcomes

transparent rules and stable workflows

high error rates or idle times with noticeable follow-up costs

Often unsuitable at first:

rare one-off cases and constantly changing processes

workflows without a clear owner

highly political or creative decisions

processes that first need to be cleaned up organisationally

04 - Potential

Typical automation potential in mid-sized companies.

Six process areas where the analysis is particularly likely to strike gold - each with the path to the right implementation.

Bright warehouse and workshop space

Order intake

Capture orders from email, PDF or portals, check line items and hand them over to the ERP in structured form - see workflow automation.

Documents on a light surface

Document processing

Read, validate and hand over invoices, delivery notes and order confirmations to ERP, DMS or accounting - in productive use with our product robodocxs.

Two people in conversation at a table

Sales & quotations

Analyse tenders, match requirements against product data and prepare draft quotations - see AI automation.

Service employee with headset

Customer service

Categorise enquiries, answer standard cases, consolidate information from ERP and knowledge sources - see AI agents.

Master data maintenance on screen

Master data

Detect duplicates, check mandatory fields and keep data consistent across ERP, CRM and PIM - according to rules you define.

Quiet office space with glass walls

Approvals & internal workflows

Automate responsibilities, deadlines and escalations - every processing step documented and traceable.

05 - Process

How our automation consulting works.

For a clearly defined scope, the prioritised assessment is typically available within two to four weeks (typical timeframe, depends on scope) - larger process landscapes are analysed in stages.

01

Clarify goals & scope

Which areas are in focus? Which economic, technical and organisational goals matter?

02

Capture processes & systems

Conversations with the people involved, analysis of documents, data flows, handovers and exceptions.

03

Assess potential

Every process is assessed by volume, time spent, standardisation, data quality, risk and integration effort.

04

Calculate business cases

Expected savings, one-off and running costs as well as risks are weighed against each other.

05

Prioritise the roadmap

Processes are put into a sensible order based on benefit, effort, risk and dependencies.

06

Prepare the pilot

For the first process, the target picture, systems, responsibilities, KPIs and review steps are defined.

06 - Outcome

What you hold in your hands after the consulting.

You receive a documented and prioritised basis for decision-making that remains usable regardless of who handles the later implementation.

Process & analysis

process map of the areas examined

business case for prioritised processes

automation roadmap

Assessment & technology

assessment of all automation candidates

technical solution options per process

recommendation for the first pilot process

Strategy & steering

effort-benefit matrix

risks and dependencies

management summary as a decision paper

07 - Technology selection

Which automation technology suits the process?

Not every process needs artificial intelligence. Structured, stable workflows can often be handled more reliably with classic workflow automation or interfaces. AI is particularly useful when emails, PDFs, free text or complex documents need to be understood. Our recommendation remains technology-agnostic - for each task we evaluate, among others:

Workflow automation API & interface integration Robotic Process Automation Document automation AI agents Low-code & integration platforms Custom software development

08 - Economic viability

How do we calculate the business case?

For every prioritised process we weigh expected benefit against total cost. We look not only at labour time saved but also at error costs, idle times, scalability and the relief of critical specialist roles.

Value creation in detail

processing time saved+

error costs avoided+

delays avoided+

additional process capacity+

running operating and licence costs

Annual benefit=

The calculation is a solid basis for decision-making, not a guarantee of success: assumptions and ranges are documented transparently.

09 - Example

Example of an automation roadmap.

A simplified, anonymised example: a mid-sized company wants to relieve administrative processes in sales, purchasing and back office. The analysis captures 16 processes; after assessing volume, processing time, data quality and system effort, five are prioritised. Order intake is chosen as the pilot because high volume, clear validation criteria and an existing ERP interface come together there - a rare, highly individual complaints process is deferred for now.

10 - Why LINKS DER ISAR

Consulting from a team that also builds.

We do not advise in isolation from later reality: our team develops integrations, workflows, AI agents and digital products - and operates solutions such as our document processing robodocxs in day-to-day production. That is why interfaces, data quality, permissions, monitoring and maintainability are already considered during the consulting. The roadmap nevertheless remains vendor-neutral: you receive a basis for decision-making that you can implement with us or with another partner.

Team discussing a process analysis

Consulting backed by implementation experience

digital solutions for mid-sized companies and large enterprises since 2009

our own product in continuous operation: AI document processing robodocxs

experience with ERP, CRM and custom integrations

Recommendations that hold up

we only recommend what can be built and operated in everyday use

vendor-neutral roadmap - the results belong to you

on request we take over implementation and operation

11 - FAQ

Frequently asked questions about automation consulting.

What does process automation consulting cost?

The cost depends on the number and complexity of the processes under review, the departments involved and the systems in use. For a clearly defined scope, we agree a fixed set of deliverables after a free initial consultation - you know what the consulting will cost before it starts.

How long does the consulting take?

For a clearly defined scope, a prioritised assessment is typically available within two to four weeks - a typical timeframe that depends on scope. Larger process landscapes are best analysed in stages.

Which employees need to be involved?

Besides a responsible decision-maker, we above all need access to the people who handle the processes day to day. They know the exceptions, media discontinuities and actual time spent - that is where the most honest picture emerges.

Do our processes already have to be documented?

No. Capturing and structuring the as-is processes is part of the consulting. Existing documentation speeds up the analysis but is not a prerequisite.

Do we have to implement with you afterwards?

No. The results and the roadmap belong to you and are deliberately documented in a vendor-neutral way. On request we take over implementation and subsequent operation - but we do not have to.

Do you also advise on AI automation?

Yes. We take a technology-agnostic view of whether classic workflows, interfaces, RPA, AI agents or a combination makes economic and technical sense - not every process needs artificial intelligence.

When is automation not worthwhile?

When the volume is too low, the process runs unstably, the data basis is insufficient or the technical effort exceeds the expected benefit. That is exactly what the assessment reveals - sometimes the best recommendation is to simplify a process first, or not to automate it at all.

Which systems can be taken into account?

ERP, CRM, DMS, PIM, email, databases, portals, file repositories and custom line-of-business applications - the analysis looks at your system landscape as it is.

Which process would top
the analysis at your company?

In an initial consultation we define the scope and the deliverables - non-binding, concrete, based on numbers.