Incoming invoices
Before: PDFs are pulled out of the inbox, amounts retyped, approvals chased by email.
After: Documents are read, checked, routed for approval and posted automatically. Only discrepancies reach a human.
IT & AI automation
Your processes will soon run themselves.
We show you where your company loses hours every day – and automate exactly those steps with AI. No buzzword bingo, no project that drags on for a year.
30 minutes, no strings attached – afterwards you know which three processes pay off first.
- ~12 h
- Manual work per week that a typical SME saves after the first automation sprint.
- 4 weeks
- From analysis to the first automation running in production – instead of endless concept phases.
- GDPR
- Built on European infrastructure, documented clearly enough for your data protection records.
Why automate
Three things change measurably
Automation is not a technology project, it is arithmetic: time, cost, errors. We record those three figures before we start – and again afterwards.
01 — TIME
Routine work leaves your day
Sorting emails, retyping data from PDFs, chasing status updates, coordinating appointments: in an office of five people that quickly adds up to two working days a week. A workflow takes those steps over permanently and keeps working at night.
Typical after the first sprint: 8–15 hours less manual work per week.
02 — COST
Growth without new headcount
Manual processes only scale through people: twice the volume means twice the effort. An automated process handles ten times the volume at no extra cost – and you can take on orders that admin work used to rule out.
A well-chosen first use case usually pays for itself within three to six months.
03 — QUALITY
Fewer errors, consistent results
In monotonous work, transposed digits and forgotten steps are unavoidable – and they cost rework and trust. A workflow follows every rule, logs every step and deliberately hands edge cases to a human.
No process runs blind: exceptions always go to your team.
Quick orientation
Three questions and you know where to start
No sign-up, no email required. The result is a recommendation on which service makes the most sense as a starting point – and what to clarify in a first conversation.
- Takes less than a minute
- Stays in your browser
- Followed by an optional free AI check
Services
Three ways we take work off your plate
Each one can be booked on its own – most clients start with one and grow from there.
AI consulting & strategy
Together we sort out what AI genuinely delivers for you – and what you can skip. You end up with a roadmap covering cost, benefit and sequence.
- AI readiness assessment
- Use cases ranked by return
- Tool and vendor selection
Process automation
Quotes, invoices, master data, reporting: everything that runs on copy and paste today becomes a workflow that keeps running without you.
- Capture documents & invoices automatically
- Connect systems & tools
- Reports that build themselves
AI agents & chatbots
Assistants that work on your own knowledge – in customer service, in sales, or internally as the first port of call for manuals and policies.
- Knowledge assistant on your own data
- Qualify & answer incoming requests
- Connected to email, CRM & website
Examples from practice
What automation actually means day to day
Six situations we meet regularly in mid-sized companies – and what changes afterwards. Your situation is probably a mix of them.
Quotes & sales
Before: Every quote starts from an old file, and following up depends on someone remembering.
After: Enquiries are pre-qualified, quotes assembled from building blocks, follow-ups scheduled automatically.
Customer service
Before: The same twenty questions every day, with response times over a day.
After: An assistant working on your own documents answers standard cases immediately and hands the rest to the team with context.
Reporting
Before: Two days of spreadsheets at the start of every month, pulling numbers from three systems.
After: A dashboard collects the data itself and sends the summary to your inbox every Monday.
HR & onboarding
Before: Applications sit in a shared inbox, onboarding runs off a checklist someone has to maintain.
After: Applications are parsed and matched against the role profile; new colleagues automatically receive accounts, documents and meetings.
Master data & planning
Before: Product and customer data is maintained twice in two systems, and mismatches surface at the customer.
After: A nightly comparison checks every record, fixes the clear-cut cases and files the rest as a task with an explanation.
Nothing here matching your situation? That is exactly what the AI check is for – describe the process and we will tell you whether automation is worth it.
Who this is for
Built for companies without an AI department of their own
For organisations with no in-house IT team for innovation projects, but enough volume for automation to pay off right away. You talk directly to the people who will build the process – no account layer, no handover to an unfamiliar project team.
- One team from analysis through handover
- Built on the systems you already run
- Training and documentation included
- Remote across Germany and the EU, on site by arrangement
Where it pays off fastest
Retail and e-commerce, manufacturing, logistics, trades with a back office, and service firms handling large volumes of documents.
What we work with
Microsoft 365 and the Power Platform, workflow tools such as n8n or Make, common ERP and CRM systems, language models via European endpoints.
What we don't do
No commission-driven tool sales, no concepts for the drawer, no automating processes that should simply be abolished.
How we work
Four steps from idea to a process that runs
After every step you get something you keep – no result depends on us continuing.
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01 — AI CHECK
We take a look
A 30-minute conversation in which we review your processes and name the three most rewarding starting points. Free of charge.
You get: a short write-up of the top three opportunities.
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02 — ANALYSIS
Do the maths
We measure effort and error sources in the current state, map the process and weigh benefit, cost and risk against each other.
You get: a process map and a roadmap with fixed prices.
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03 — PILOT
One real process
We put one use case into production – small enough for four weeks, big enough to notice. Tested with real data before it goes live.
You get: a running process and the before-and-after numbers.
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04 — SCALE
Your team takes over
Documentation, training, handover. After that you can connect further processes yourselves – or we keep supporting you.
You get: a handbook, training and a plan for the next processes.
Case studies
Projects running in production today
Five automations delivered for clients. We share details and client names on request and only with their approval.
Customer service
Support ticket automation
Incoming tickets are classified by topic and urgency, assigned to the right team and, for standard cases, prepared with a suggested reply drawn from the company's own knowledge base.
Effect: clear prioritisation, markedly faster first response.
Sales
Automated quote generation
Enquiry, price list and text modules turn into a finished quote including document and CRM entry. Follow-up dates are set automatically instead of being carried around in someone's head.
Effect: quotes on the same day instead of the following week.
Marketing & design
Automation of design production
Recurring design work is generated from templates and product data: format variants, image preparation, data sheets and promotional material are produced at the push of a button in the correct corporate design.
Effect: design time goes into concepts instead of variants.
Finance
Accounting automation
Receipts are collected from the inbox and supplier portals, read, checked against orders, routed for approval and handed to accounting. Only discrepancies land as a task with a human.
Effect: no more retyping, a clean month-end close.
Management
Automated KPI reporting for management
Key figures from ERP, CRM and accounting flow into a shared dashboard. Management receives a fixed report with variances and commentary, without anyone collecting numbers by hand.
Effect: a basis for decisions on Monday instead of mid-month.
Engagements
Four formats – you choose the depth
Every format can be booked on its own and ends with a result that stays with you. Prices are agreed as fixed prices before we start, not as an open-ended estimate.
Free
AI check
A 30-minute conversation about your processes, followed by a written assessment naming the three most rewarding starting points.
Fixed price
Opportunity analysis
Workshop, process mapping and return calculation for your most important workflows. The result is a prioritised roadmap you could implement without us.
Most popular start
Automation sprint
One use case from concept to live operation, including testing with real data, training and documentation.
Monthly
Support & expansion
Operation, monitoring and further development of running automations, plus a fixed allowance for small new workflows.
Technology & data protection
Proven tools, European infrastructure
We don't build the most technically exciting thing, we build what your team can still operate in two years. That means established platforms rather than bespoke code – and vendors that process data inside the EU.
Data minimisation first. A process only receives the fields it genuinely needs. Personal data is filtered out before a language model sees it.
No training on your data. We select vendors and plans that rule out the use of your content for model training.
Documented end to end. Every process is described with its data flows and responsibilities – the basis for processing agreements and your records of processing activities.
Automation & workflows
Microsoft 365 with Power Automate and Power Apps, n8n, Make, Zapier; integrations via REST APIs and webhooks.
AI models & assistants
Language models via EU endpoints, document understanding through OCR, knowledge assistants on your own material, and locally hosted models on request.
Systems we connect
ERP and inventory systems, CRM, accounting platforms, ticketing and project tools, mail and calendar, file storage.
Also relevant: the EU AI Act
For every use case we assess which risk class it falls into and which obligations follow – so the automation is still permitted in two years' time.
Who is behind this
A team that advises and builds
At TLM Advisory you talk to the people who will build the process: consulting, development and operations sit in the same team. The company is led by Nino Boender, who joins the first conversation himself.
Our standard: every project has to be justifiable with numbers. Where automation would not deliver, we say so – that costs us a project and saves you money.
“Most companies don't need an AI strategy. They need three processes that finally run without them.”
FAQ
Frequently asked questions
Something missing? Just add it to the contact form – you will get a personal answer.
Does AI make sense at our size?
Especially then. The smaller the team, the more repetitive manual work weighs. We are not looking for the biggest project, but for the one that gives you hours back immediately.
What does it cost to get started?
The AI check is free. After that we work on a day rate or at a fixed price per use case – you get the figure beforehand, not afterwards.
How long does the first automation take?
Usually four weeks from approval to production. The one requirement is someone on your side who is available for questions.
What happens to our data?
We work with as little data as possible, preferably on European infrastructure, with a data processing agreement and documented processing steps.
Do we have to replace our systems?
No. We build on what you have – ERP, CRM, accounting, email. New tools are only added when they pay for themselves.
What if nobody here knows anything about AI?
That is the normal case. This is why training and documentation are always part of the handover: your team should be able to operate and extend the processes afterwards.
Which processes can actually be automated?
Anything recurring that follows clear rules or documents: incoming invoices, quote generation, master data maintenance, customer enquiries, reporting, scheduling, onboarding. What matters is not the type of task but how often it comes up.
How much work does this create for our team?
Expect two to four hours per week during a sprint: explaining the process, testing interim results, giving approvals. The implementation happens on our side.
How do we measure whether it was worth it?
Before we start we record processing time, lead time, error rate and volume. After four weeks in production we measure the same figures again – and that also decides whether we continue.
What happens if the automation makes a mistake?
Every process has defined exceptions: unclear cases are not guessed, they are passed to a human as a task with an explanation. On top of that, every run is logged, so mistakes remain traceable.
Will we end up dependent on you?
No, and that is deliberate. Everything runs in your accounts, the documentation is yours, training is part of the handover. You book ongoing support because it is worth it – not because nothing works otherwise.
Does working together fully remotely work?
Yes, that is the normal case. Process work lives on screen sharing and shared documents, which in our experience works better remotely than in a meeting room. For workshops we are happy to join you on site.
AI check
Tell us where it hurts
One sentence is enough. We reply within 24 hours with a suggested time and an initial assessment.
Fastest via the form next to this +49 221 99992410 TLM Advisory UG (haftungsbeschränkt) i. G. Im Forst 48, 51105 Cologne, GermanyThanks, we got it!
We will get back to you within 24 hours.