ERP Integration & Process Automation for Mid-Sized Companies on Pfisterer Consulting

AI for Business Processes

Mon, 01 Jan 0001 00:00:00 +0000

Duration 4 Hours (Half-day)

Participants 4–15 People

Format Online or On-site

Price From €1,500

Who it’s for

You lead Finance, Operations, or HR teams and want to know where AI delivers real value – not as a ChatGPT gimmick, but as genuine process improvement.

Agenda

Fundamentals (45 min) – How AI works in business processes. Where real ROI happens, where it doesn’t. Common mistakes when deploying AI.

Finance Deep Dive (60 min) – AI in reports, forecasts, and data cleansing. Live demo: cleansing data with AI. Your questions on real Finance processes.

Projects & Systems

Mon, 01 Jan 0001 00:00:00 +0000

ERP systems, data migration projects, and system landscapes are not primarily IT topics – they are organizational and business process topics with a technical foundation. I help you set up systems and processes so they work in daily operations.

→ Requirement Engineering & Interfaces – a core part of my work in this area.

Typical Situations

ERP implementation or migration – System design, process requirements, and training don’t align. After go-live, things stall.
Requirements and interfaces – Nobody has clearly defined which data flows where. Manual workarounds and data inconsistencies.
Reporting and controlling – Data quality is off, every report is assembled manually in Excel.
Data migration – Mapping errors, duplicates, incomplete history. Without a clear validation process, it gets expensive.
M&A integration – Legacy systems undocumented, interfaces grown organically, systematic planning missing.
Project governance and PMO – Costs, timelines, and scope are diverging. Structured governance is missing.

My Approach

Phase 1: Clarification and quick check – Current state, real vs. wishful requirements, biggest risks.

Requirement Engineering & Interfaces

Mon, 01 Jan 0001 00:00:00 +0000

From Requirements Analysis to Working Interface

A system is only as good as its requirements – and a system landscape only as stable as its interfaces. For over a decade, I worked in close collaboration with Information Desire Software GmbH (Projectile / IDS), specifying, testing, and deploying interfaces between ERP, CRM, DMS, financial accounting, and third-party systems. Among other things, the industry solution Projectile-HOAI for engineering and planning firms was developed from my specifications.

AI in ERP & Data Migrations

Mon, 01 Jan 0001 00:00:00 +0000

Duration 4 Hours (Half-day)

Participants 6–12 People

Format Online or On-site

Price From €1,500

Who It’s For

You’re implementing an ERP system or migrating data between systems. Data quality is the biggest risk – and AI can concretely help. This workshop shows how to use AI as a practical tool to speed up merges and catch errors early.

Agenda

Part 1 – AI in the ERP Context (45 Min) Where AI actually helps in ERP projects. Data quality as the biggest risk.

Compliance

Mon, 01 Jan 0001 00:00:00 +0000

Mandatory digital requirements do not exist out of ill intent from regulators. They create reliability – in finances, working hours, and whistleblower protection. When implemented correctly, they also bring internal clarity instead of overhead.

The Five Core Compliance Topics

E-Rechnung (mandatory e-invoicing) – Since 2024, invoices must be transmitted in a structured format (XRechnung), not just as PDFs. This affects invoice creation, IT systems, and interfaces to customers and tax authorities.
GoBD (German digital bookkeeping regulations) – Governs how documents and accounting data must be stored: digitally, securely, and traceably. Covers everything from paper receipts and emails to digital invoices.
Time Tracking – The German Working Hours Act requires complete, reliable recording of working hours. Decisive for legal certainty regarding overtime and disputes.
Whistleblower Protection (Hinweisgeberschutz) – From 50 employees onward, a whistleblower system is mandatory. It must be implemented in a legally correct yet practical way.
KassenSichV (fiscal security regulation for cash registers) – Cash registers in retail, hospitality, and freelance businesses handling cash must be tamper-proof. Older systems are often non-compliant.

How Implementation Works

Assessment: First, we jointly understand how your processes run today – which systems are in use, where documentation exists, and where it does not.

AI & Automation

Mon, 01 Jan 0001 00:00:00 +0000

AI as a Standalone Service – or Add-On to Your Project

AI is no longer a future topic – it is a practical tool for everyday relief. I offer AI automation standalone (e.g. for manual emails, data processing, reports) or as an add-on to ongoing ERP/compliance projects. This is not about “AI strategy” – it is about concrete automations that work tomorrow, with the tools available today.

Realistic Use Cases

Text-Based Routine Tasks Emails, standard texts, meeting notes, summaries – employees often spend 20–30 % of their time on these. With AI assistants and no-code tools, this can be significantly accelerated or fully automated.

ERP Procurement & Pre-Project — Done Right

Mon, 01 Jan 0001 00:00:00 +0000

Duration 4 Hours (Half-day)

Participants 4–8 People

Format Online or On-site

Price From €1,500

Who This Is For

You’re planning an ERP project – or you’re already in the pre-project phase wondering: Are we doing this right? Most ERP projects don’t fail because of technology. They fail because preparation was poor: wrong requirements, unrealistic strategy, surprise data issues.

Agenda

Strategy & Fit-to-Standard (60 Min) – Fit-to-Standard vs. Heavy Customizing. Realistic gap analysis. Making decisions.

Requirements & Data Audit (60 Min) – Capture what matters, not everything. Involve stakeholders. Honestly assess data quality.

Data Migration – Planning to Go-Live

Mon, 01 Jan 0001 00:00:00 +0000

Duration 6 Hours (Full-Day)

Participants 4–10 People

Format Online or On-site

Price From €2,000

Who this is for

You’re running an ERP project, a data migration, or a system switch. Data is the biggest risk – and often the most underestimated. This workshop shows how to plan and execute data migration systematically, so invalid data, duplicates, and missing histories don’t surface at go-live.

Agenda

Understanding data sources (60 min) – Analyse, document, identify hidden risks. Honestly assess data quality.

M&A Integration — Merging Systems & Data

Mon, 01 Jan 0001 00:00:00 +0000

Duration 6 Hours (Full-Day)

Participants 5–12 People

Format Online or On-Site

Price From €2,000

Who This Is For

You’re in a merger or acquisition – and two established system landscapes need to come together without disrupting ongoing operations. This workshop draws on real M&A experience and shows where the typical pitfalls are – and how to avoid them.

Agenda

Understanding the System Landscape (60 Min) – Inventory: Keep, Replace, Migrate. Dependencies, interfaces, licensing implications.

Data Harmonization (75 Min) – Merging customer data, harmonizing charts of accounts, detecting duplicates. Case study: corporate merge.

Context Rot in AI Agents: Why Quality Degrades

Tue, 31 Mar 2026 14:30:00 +0200

Anyone who works with Claude Code, Cursor, or Copilot knows the pattern. The problem has a name: Context Rot. The first results are sharp and the architecture holds up. Then quality drops off. After 20, 30 minutes, the answers start repeating themselves. The AI agent loses context. It produces code that contradicts what it wrote five prompts ago.

Not a user error – an architecture problem. The solution lies in context engineering: the deliberate management of context windows through multi-agent orchestration. These are exactly the kinds of real-world problems I address in my AI & Automation consulting.

5 Modules That Don't Belong in Your ERP: Why Suite Thinking Ruins Your Procurement

Tue, 24 Mar 2026 18:15:00 +0100

Five departments sit at the table. Each one has a wish list. HR wants skill management. Sales needs lead scoring. Administration demands compliant document archiving. The project manager insists on Kanban boards. The quality manager wants audit management with CAPA tracking. All five wishes end up in the same document: the ERP requirements catalogue. All classified as knockout criteria.

The result is something I see in tender after tender: a catalogue with 177 criteria, 131 of them classified as A-criteria — mandatory knockout requirements. That’s 74 percent, far above any reasonable benchmark. What starts as structured procurement ends as a wish concert that no single system can serve.

AI as a Knockout Criterion in ERP Tenders: Why SMEs Are Getting It Wrong

Sat, 21 Mar 2026 08:00:00 +0100

It sounds like a forward-thinking decision: a mid-sized company adds AI-powered forecasting and intelligent automation as a hard knockout criterion to its ERP requirements specification. After all, the new system shouldn’t be outdated before it’s even implemented.

I see this regularly in tenders that cross my desk. And every time, I say the same thing: This is one of the most expensive mistakes you can make in ERP selection. This is a central aspect of my ERP consulting for SMEs.

Omnichannel Without Limits: Why Your ERP Becomes a Digital Team

Mon, 16 Mar 2026 19:15:00 +0000

Omnichannel is the gold standard: Instagram purchases, in-store pickup, chatbot-driven returns — all seamlessly connected. But in practice, many SMEs already struggle with the basics: a stable multichannel setup. Scale to Amazon, Kaufland, or TikTok Shop, and you’ll quickly discover: The problem isn’t demand — it’s the operational complexity behind the scenes. This topic is part of my ERP consulting for SMEs.

Commerce in 2026 doesn’t forgive rigidity. Marketplaces dictate the rules, algorithms change overnight, and customers expect the same availability across every channel. If you’re still managing this manually, you’re losing — not because your product is bad, but because your infrastructure can’t keep up.

When AI Agents Hack AI Systems: Why Your AI Needs Security Testing Now

Wed, 11 Mar 2026 08:00:00 +0100

An autonomous AI agent chains four individually harmless vulnerabilities into a complete platform takeover — severity rating CVSS 9.8 out of 10. Then it gives itself a voice and calls the target system’s AI. No human hacker. No sophisticated exploit kit. One AI hacking another AI.

This isn’t science fiction. This happened in March 2026 — to a $20 million-funded AI recruiting startup whose clients included Anthropic, Stripe, and Monzo. AI security is a central aspect of my consulting on compliance and regulatory requirements.

Digitalization in Mid-Sized Companies: If You Can't Do Controlling, You Don't Need AI

Tue, 10 Mar 2026 08:00:00 +0100

Nearly half of mid-sized companies don’t do their own controlling. No contribution margins per customer. No cost center analysis. No reliable margin per order. In the same breath, the next statistic – confirmed by Bitkom surveys: Nearly as many plan to deploy AI.

That’s not a contradiction. It’s a pattern — and I see it in almost every consulting project.

Companies skip stages 1, 2, and 3 of digitalization — and want to jump straight to stage 7. I offer this maturity assessment as part of my ERP consulting for SMEs.

AI in Mid-Sized Companies: Without ERP Integration, Your AI Assistant Is an Expensive Toy

Mon, 09 Mar 2026 10:00:00 +0100

22% of property managers already use AI. At the VDIV Forum Zukunft in March 2026, that sounded like progress. Until someone asked the decisive question: Can the AI phone assistant access tenant master data in the ERP system?

The answer: No. The assistant takes calls, formulates friendly responses — but knows neither contract terms nor account balances nor open tickets. It’s friendly, fast, and clueless.

This isn’t a property management problem. It’s a mid-market problem. These integration questions are exactly what I address in my AI and automation consulting for SMEs.

ERP Selection in Mid-Sized Companies: Why the Requirements Document Is the Most Expensive Mistake

Sat, 07 Mar 2026 10:00:00 +0100

The most thorough company I accompanied through an ERP selection chose the worst vendor. 200 pages of requirements. 6 months to write. 14 vendors contacted, 8 invited, 4 shortlisted. A process that any project management professor would have applauded.

The result: A system that perfectly fits the old processes — not the future ones. An implementation partner who impressed in the demo but was overwhelmed in execution. And a go-live that came 14 months later than planned.

Digitalization in Mid-Sized Companies: Why the IT Department Is the Wrong Project Leader

Fri, 06 Mar 2026 10:00:00 +0100

“IT handles the ERP project.” This sentence comes up in almost every mid-sized company when it’s about an ERP migration, DATEV automation, or CRM project. Sounds logical — it’s about software. So it’s an IT topic.

That’s exactly the mistake. ERP, CRM, DATEV integration — these aren’t IT projects. They’re organizational projects with a technical component. This understanding is a core part of my ERP consulting for SMEs. When IT leads, discussions revolve around interfaces instead of business processes. Servers instead of workflows. Licenses instead of value creation.

ERP Frustration in Mid-Sized Companies: Why a New System Won't Fix the Old Problem

Thu, 05 Mar 2026 10:00:00 +0100

“Our ERP is the problem.” I hear this sentence in almost every initial meeting. Too slow. Too complicated. Can’t do this. Does that wrong. The solution seems obvious: a new system. More modern, more powerful, better.

In 8 out of 10 cases, the truth is different – and this aligns with findings from the Standish Group, which has analyzed IT project failures for decades: The ERP isn’t the problem. The processes are. And a new system with the same processes delivers exactly the same result — just at a higher cost. This is a core focus of my ERP consulting for SMEs.

Inside OpenClaw #5: Production-Ready AI on WSL2

Thu, 05 Mar 2026 09:00:00 +0100

Your inference server runs fine on Friday afternoon. You set the right vLLM flags, tool calling works, the agent responds correctly. Monday morning, the server is dead. No crash log. No error message. WSL2 simply stopped running.

This is the gap between “works on my machine” and “runs in production.” And it has nothing to do with code. Production stability of AI systems is an aspect of my AI and automation consulting.

Data Quality in Mid-Sized Companies: Why Projects Fail in Preparation, Not Execution

Wed, 04 Mar 2026 10:00:00 +0100

“First we need to clean up the data, then we can start the project.” No sentence is more common in steering committees. And no sentence has delayed or quietly killed more projects.

The pattern is always the same — whether it’s an ERP migration, a DATEV integration project, a CRM campaign, or an AI pilot. It is a central theme in my ERP consulting for SMEs. Data quality becomes a precondition. Months are spent cleansing, harmonizing, structuring. Budgets flow. And the actual project never starts.

DATEV ERP: Why You Should Never Change Cost Centers Mid-Year

Tue, 03 Mar 2026 14:00:00 +0100

“We just created a new department — can we quickly adjust the cost centers?” This request comes up in almost every company at least once a year. Usually in April, when the new org structure is in place. Or in September, when a new project starts. The answer should always be the same: Not now. At year-end.

Why? Because DATEV handles cost centers differently than most users assume. These DATEV-ERP topics are a central part of my consulting on compliance and regulatory requirements. And the consequences of a mid-year change only become visible when it’s too late — in the management report, the cost center analysis, or the annual financial statements.

Inside OpenClaw #4: Why AI Agents Need a Personality

Tue, 03 Mar 2026 10:00:00 +0100

Ask a bare language model the same question twice, and you’ll get two different personalities. One response is formal and thorough, the next is casual and terse. There’s no consistency, no sense of role, no memory of what it’s supposed to be.

For experimentation, that’s fine. For production use in a business, it’s a dealbreaker — which is exactly why configuration is a central aspect of my AI and automation consulting. When your AI agent behaves differently every session, users lose trust — and they lose it fast.

Inside OpenClaw #3: Why We Replaced Our AI Model — and Need 6x Less Memory

Fri, 27 Feb 2026 07:00:00 +0100

A Model That Changes the Rules

Model changes like this and their implications feed directly into my AI and automation consulting. Our previous setup was solid: Mistral Small 24B on vLLM, AWQ-quantized, the right flags configured, tool calling working reliably. But two limits remained: 32,000 tokens of context and 14 GB of VRAM consumed by model weights alone — on a GPU with 24 GB total.

Then Qwen3.5-35B-A3B appeared. A model that sounds impossible on paper: 35 billion parameters, but only 3 billion active at any given time. A 262,000-token context window. And faster than our previous, smaller model.

Inside OpenClaw #2: The Hidden vLLM Flags for Mistral

Thu, 26 Feb 2026 10:00:00 +0100

Running a Mistral model on vLLM should be simple. Load the model, start the server, send requests. And for basic text generation, it is. But the moment you need tool calling — the backbone of any AI agent — things start breaking in ways that are surprisingly hard to diagnose. Technical details like these are part of my AI and automation consulting.

The Silent Failures

When vLLM’s tool-calling configuration is wrong, it doesn’t throw an error. Instead, you get one of these failure modes:

Inside OpenClaw #1: Web Search Without Hallucination

Wed, 25 Feb 2026 10:00:00 +0100

Ask a local LLM to search the web, and something interesting happens: it doesn’t tell you it can’t. Instead, it confidently generates search results — complete with URLs, snippets, and source attributions. The problem? They’re entirely made up.

This isn’t a minor nuisance. For an AI agent that’s supposed to retrieve real information, fabricated sources are a critical failure mode. I address challenges like these in my AI and automation consulting. And it’s one of the hardest problems to solve when building on local models.

Zero API Costs: How We Run an AI Agent on a Single GPU

Tue, 24 Feb 2026 16:00:00 +0100

Most AI agents depend on cloud APIs — and every request costs money. With agent workloads, those costs add up fast: a single complex task can consume 50,000 to 100,000 tokens. Run that a few dozen times a day, and you’re looking at a serious monthly bill.

We took a different approach with OpenClaw. Our AI agent runs entirely on local hardware — one GPU, no cloud dependency, no recurring API fees. Local AI solutions are a focus of my AI and automation consulting.

Cloud Exit for SMEs: Why Companies Are Bringing Their ERP Systems Back

Tue, 24 Feb 2026 12:00:00 +0100

For five years, the message was clear: if you don’t move to the cloud, you’ll be left behind. The Bitkom Cloud Monitor confirmed rising adoption numbers year after year. Analysts, consultants, software vendors – everyone preached the same direction. On-premise was the legacy model. Anyone still running SAP, Microsoft Dynamics, or an industry-specific ERP on their own infrastructure was either brave or behind the times.

Now the mood is shifting. Not loudly, not on conference stages. But in the meeting rooms of IT leaders. The question is no longer “When do we move to the cloud?” – it’s: “Is it still worth it?” This strategic assessment is a core topic in my ERP consulting for SMEs.

One Year of Mandatory E-Invoicing: Why the B2B Standard Is Drowning in ZUGFeRD Chaos

Tue, 24 Feb 2026 08:00:00 +0100

Note: This article covers the German e-invoicing mandate (E-Rechnungspflicht). The requirements are specific to companies operating in Germany.

Earlier this year, I published a summary of what SMEs need to know about mandatory e-invoicing. Reception mandate since January 2025, sending mandate from 2027, EN 16931 formats. Straightforward enough in theory.

Now, more than a year after the reception mandate took effect, it’s time for an honest assessment: The reality on the ground is catastrophic. E-invoicing is one of the most pressing topics in my consulting on compliance and regulatory requirements.

A2A Instead of B2B: When Your Buyer's AI Negotiates with the Supplier's AI

Mon, 23 Feb 2026 14:00:00 +0100

Monday Morning, 8:00 AM — and the Purchase Order Is Already Waiting

Imagine this: Your ERP system detects that a raw material is running low. Overnight, an AI agent contacts three supplier agents, compares offers on price, delivery time, and contract terms, and prepares a purchase order — ready for human approval when you arrive at your desk.

No phone calls. No email ping-pong. No manual spreadsheet comparisons. Just a clean recommendation backed by data.

Shadow AI: When Employees Secretly Build Their Own AI Agents

Mon, 23 Feb 2026 10:00:00 +0100

The New Shadow IT Has a Brain

Shadow IT has been a headache for years — unauthorized tools, private cloud accounts, rogue SaaS subscriptions. But Shadow AI takes it to a different level entirely. This topic is part of my AI and automation consulting for SMEs. Because this time, employees aren’t just using unapproved software. They’re building intelligent workflows that actively process, analyze, and redistribute company data.

And they’re doing it with the best of intentions.

OpenClaw: How We Got Three AI Agents to Debate Each Other

Wed, 18 Feb 2026 14:00:00 +0100

In the first article about OpenClaw, we covered the basic idea: an AI assistant that runs on your own hardware and is controllable via WhatsApp. Since then, we’ve been experimenting further — and built something that shows where AI automation is actually heading. Experiments like these feed directly into my AI and automation consulting.

We got three AI agents to debate each other in separate terminal sessions — until they agreed on a solution.

Helsing, AI Weapons, and the Illusion of Human in the Loop

Wed, 18 Feb 2026 10:00:00 +0100

Helsing is one of Europe’s fastest-growing defense companies. Founded in Munich, with offices in London and Paris, the company builds AI-powered weapon systems: the HX-2 strike drone, the CA-1 Europa autonomous combat aircraft (with HENSOLDT), electronic warfare (Cirra), underwater reconnaissance (SG-1). Investors like Daniel Ek (Spotify founder) and former Airbus CEO Tom Enders sit on the board.

This is not a startup toy. Helsing is a heavy player in European defense.

AI Agents and the EU AI Act 2026: What SMEs Need to Know Now

Tue, 17 Feb 2026 10:00:00 +0100

August 2, 2026 is the deadline: the EU AI Act (Regulation (EU) 2024/1689) takes full effect. For German SMEs, this creates a dilemma: if you use AI, you must prove it’s compliant. If you don’t use AI, you lose the race for talent and efficiency.

I’m currently working intensively on exactly this topic – and sharing my assessment here. The EU AI Act is a central topic in my consulting on compliance and regulatory requirements.

Website Relaunch with AI Instead of an Agency: What Used to Cost €15,000 Now Takes 2 Days

Fri, 13 Feb 2026 10:00:00 +0100

In early February 2026, I faced a decision: my website needed a relaunch. New design, better structure, more professional presentation. The classic route would have been: brief an agency, collect quotes, wait 4–8 weeks, invest €10,000–20,000.

I chose a different path. And this article describes honestly how it went. It is a practical example of my AI and automation consulting – only this time for myself.

The Tech Stack: Hugo, Claude, and OpenCode

Hugo – the Static Site Generator

Hugo is an open-source framework that generates websites from Markdown files. No database, no WordPress, no PHP. Just HTML, CSS, and JavaScript – lightning fast, secure, and easy to host.

OpenClaw: The Personal AI Assistant That Siri Should Have Been

Thu, 12 Feb 2026 14:00:00 +0100

For years, the tech industry has been promising us the perfect personal assistant. Siri, Alexa, Google Assistant — all disappointing the moment requirements go beyond “set a timer.” Now there’s an open-source project that actually delivers on that promise: OpenClaw. Evaluating solutions like these is part of my AI and automation consulting.

What Is OpenClaw?

OpenClaw is an AI assistant that runs on your own computer (or server) — not in a tech giant’s cloud. You communicate with it via WhatsApp, Telegram, Discord, or iMessage — exactly where you’re already writing all day.

E-Invoicing 2025: What SMEs Need to Know Now

Thu, 12 Feb 2026 10:00:00 +0100

Note: This article covers German e-invoicing regulations (Wachstumschancengesetz). The requirements are specific to companies operating in Germany.

Since January 1, 2025, companies in the B2B sector must be able to receive e-invoices. The e-invoicing mandate is a core topic in my consulting on compliance and regulatory requirements for SMEs. Starting 2027, sending e-invoices will also be mandatory (with a transition period until 2028 for smaller companies).

E-Invoice Definition: What Qualifies Under German Law

A PDF via email is not an e-invoice. Germany’s Wachstumschancengesetz (Growth Opportunities Act) defines e-invoices as structured electronic formats compliant with EN 16931. In practice, that means:

AI in SMEs: Where It Actually Helps — and Where It Doesn't

Tue, 10 Feb 2026 10:00:00 +0100

Every other conference agenda features “AI transformation.” Every third LinkedIn post promises 10x productivity through GPT. Meanwhile, most mid-market business owners are asking: Where do I start — and is it even worth it?

A sober assessment — grounded in hands-on experience and findings from the Bitkom AI Monitor. This pragmatic assessment is part of my AI and automation consulting for SMEs.

AI Use Cases in SMEs: Documents, Knowledge, and Reporting

Document Processing

Invoices, delivery notes, contracts — this is where AI delivers measurable time savings. OCR combined with language models can classify unstructured documents, extract data, and feed it into ERP systems. Typical savings: 60–80% of manual processing time.

ERP Migration: 5 Mistakes That Make Projects Fail

Thu, 05 Feb 2026 10:00:00 +0100

After over a decade of ERP projects, I keep seeing the same patterns. Technology is rarely the problem. Projects fail because of organization, expectations, and communication. These experiences form the foundation of my ERP consulting for SMEs.

Mistake 1: No Dedicated Project Manager on the Client Side

The ERP project is managed “on the side” by the IT director or CFO. Both already have a full-time job. The project gets whatever attention is left over — which is never enough.

About Me

Mon, 01 Jan 0001 00:00:00 +0000

I am René Pfisterer, M.A. International Management. After my studies, I went into classic IT consulting. I quickly realized: it is not about technology for me, but about how companies actually work – where finance, processes, and systems meet.

My role: Translator. I understand both sides – finance logic and IT thinking. I can say: “That is technically possible but makes no business sense” or “That sounds simple but is technically a nightmare.” That saves my clients months of discussions and millions in wasted time.

Contact

Mon, 01 Jan 0001 00:00:00 +0000

The First Conversation – Free and Non-Binding

Describe your situation briefly — I’ll get back to you within 48 hours. In 30–60 minutes, we clarify: Where is the DATEV/ERP problem? What is the biggest lever? And: Is working together a good fit?

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Book an Appointment

Direct booking via Microsoft Bookings. Choose a time slot that works for you.

Book Appointment →

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Email

Write me briefly about your topic. I respond within 24 hours.

DATEV Integration Audit

Mon, 01 Jan 0001 00:00:00 +0000

Your ERP System and DATEV Are Talking Past Each Other?

Then you know the drill: manual exports, duplicate data entry, errors in document handover, and month-end closing takes days instead of hours. This is costing you not just frustration — but real money every month.

The Audit: Clarity in 2 Weeks

I systematically analyze your DATEV interfaces and deliver a concrete assessment with actionable recommendations.

1. Assessment (Day 1–3)

Which systems feed data into DATEV?
Where is data manually exported, copied, or reworked?
What errors occur regularly?
Conversations with your key people (Finance, IT, Accounting)

2. Analysis & Findings (Day 4–8)

Interface analysis: What works, what doesn’t, and why?
Identify and quantify error sources
Evaluate automation potential
Comparison with best practices from 10+ years of DATEV projects

3. Results & Roadmap (Day 9–10)

Documented findings: Current state, weaknesses, risks
Concrete action plan with priorities
Effort estimation for implementation
Personal presentation and discussion

What You Get

Documented Assessment (15–25 pages): Analysis of your DATEV interfaces with specific weaknesses
Action Plan: Prioritized recommendations with effort estimates
Personal Presentation: Results discussion with your decision-makers
No Follow-Up Obligation: Some implement internally, others engage me — both are fine

Investment

€3,500 net — Fixed price, no hidden costs.

DATEV Interface Check

Mon, 01 Jan 0001 00:00:00 +0000

How Well Do Your DATEV Interfaces Really Work?

15 yes/no questions — honest answers take 3 minutes. The result shows you where your system is losing money.

Data Transfer & Export (Questions 1–5)

Do you regularly export data manually from your ERP to DATEV?
Do you need to edit export files before importing them into DATEV (e.g. in Excel)?
Does it happen that documents are rejected during DATEV import and need to be corrected manually?
Does your monthly data export to DATEV take longer than 30 minutes?
Do you maintain master data (customers, suppliers, general ledger accounts) in more than one system?

Processes & Reconciliation (Questions 6–10)

Are there regular discrepancies between ERP reports and DATEV totals?
Do you frequently have to contact your tax advisor about incorrect or incomplete documents?
Do you maintain Excel spreadsheets alongside your ERP system?
Does your monthly closing take longer than 5 working days?
Do you have no automatic reconciliation between invoice output and DATEV postings?

Transparency & Control (Questions 11–15)

Are you unsure which data fields are lost during the transfer to DATEV?
Do you have no documented overview of all interfaces between your ERP and DATEV?
Do you only learn about interface errors from your tax advisor or during the annual audit?
Is there no one in your company who fully understands and is responsible for the DATEV interface?
Have you not reviewed your DATEV integration in more than 2 years?

Results

Count your “Yes” answers.

Digitalization Maturity Check

Mon, 01 Jan 0001 00:00:00 +0000

For Tax Advisors & Accounting Firms

Mon, 01 Jan 0001 00:00:00 +0000

Your Clients Are Struggling with DATEV Interfaces — and the Problems End Up on Your Desk?

Faulty documents, manual exports from the ERP, month-end closings that drag on forever — you know the symptoms. And you know: These aren’t accounting problems. These are interface problems.

I solve your clients’ DATEV problems — you keep the client, I put out the IT fire.

What I Solve for Your Clients

Automate manual DATEV exports — No more CSV files manually compiled every month
Identify & fix interface errors between ERP and DATEV — So the data you need for closing actually arrives
Ensure data quality in document handover — No missing document numbers, no incorrect account assignments
Cleanly connect ERP systems to DATEV — From SAP to industry-specific solutions to custom software

How Your Firm Benefits

Fewer follow-up inquiries about faulty or incomplete documents — saving you and your team time
Increase client satisfaction — Proactive problem-solving instead of reactive firefighting
You become the hero — Instead of complaining about problems, you offer your client a concrete solution
Transparency for your records — After the audit, you receive a summary of findings and recommendations

The Entry Point: DATEV Audit for Your Client

€3,500 net — Fixed price, results in 2 weeks.

Integrations

Mon, 01 Jan 0001 00:00:00 +0000

Whitepapers

Mon, 01 Jan 0001 00:00:00 +0000

Technical Depth Instead of Buzzwords

The following whitepapers document solutions that I personally specified and guided to production readiness. No marketing brochures — but technical documentation at the level that goes to development teams and tax advisors.

Whitepaper · 9 Pages

Automated DATEV Integration

Fully automated, bidirectional data synchronization between ERP/project management system and DATEV Kanzlei-Rechnungswesen via REST API.

DATEV Desktop API REST GoBD Projectile ERP

What the whitepaper covers

Import of incoming invoices — Time-controlled synchronization of finalized posting batches from DATEV with automatic document creation
Export of debtors & creditors — Event-driven master data synchronization with intelligent client assignment
Export of outgoing invoices — Real-time transfer of posting batches including configurable posting matrix (4 dimensions)
Audit-proof document transfer — Automatic XML/ZIP generation for DATEV DUO, GoBD-compliant
Special scenarios — Advance payment invoices, progress billing, cancellations
Error handling & monitoring — Configurable notifications, manual retry actions
Multi-client configuration — Each module individually activatable per DATEV client

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