01
Document processing
Invoices, contracts, delivery notes and forms read, checked and filed. The uncertain ones go to a person; the rest never touch a keyboard.
Typically the fastest payback of anything we build.
AI & Software StudioGermany · Worldwide
AI thatships.
We build intelligent assistants, automation and custom software for businesses that want results in weeks — not roadmaps in years.
Free · 20 minutesNo sales deckReply within 1 working day
ScrollEveryday work, automated
Weeks, not roadmapsPrototypes, not promisesEngineers, not account managersHours returned, not slides deliveredWeeks, not roadmapsPrototypes, not promisesEngineers, not account managersHours returned, not slides deliveredWeeks, not roadmapsPrototypes, not promisesEngineers, not account managersHours returned, not slides deliveredWeeks, not roadmapsPrototypes, not promisesEngineers, not account managersHours returned, not slides delivered
Document processingCustomer communicationBack-office automationRetrieval over your own knowledgeCustom softwareGDPR-native architectureDocument processingCustomer communicationBack-office automationRetrieval over your own knowledgeCustom softwareGDPR-native architectureDocument processingCustomer communicationBack-office automationRetrieval over your own knowledgeCustom softwareGDPR-native architectureDocument processingCustomer communicationBack-office automationRetrieval over your own knowledgeCustom softwareGDPR-native architecture
What we commit to, before you commit to anything
How the phases work →- 20min
- Discovery call
- 3–5days
- To a working prototype
- 2–6weeks
- To production
- 100%
- Code ownership
- 1day
- Reply time
Free, and the only call before you see something running.
Against your data, measured on cases you recognise.
Integrated, monitored and handed over with a runbook.
Your repository from day one. No lock-in in the contract or the stack.
One working day, from an engineer rather than an inbox.
01Where the leverage is
The biggest wins hide in everyday work.
AI is not reserved for corporations with million-euro budgets. The expensive work is rarely the strategic kind — it is the re-keying, the re-checking and the re-sending that nobody puts on a roadmap because everybody assumes it is unavoidable.
That is where we operate, with solutions that pay for themselves in weeks.
02
Customer communication
Inbound email and messages classified, routed and answered from your own knowledge — with drafts a human approves until the numbers earn autonomy.
Response times fall before headcount ever needs to rise.
03
Back-office repetition
The exports, the re-keying, the second spreadsheet that exists because the first one is wrong. Unglamorous, and quietly the most expensive.
The work nobody puts on a roadmap, and everybody does.
04
Reporting & reconciliation
The Monday report rebuilt by hand, the month-end comparison between two systems that never quite agree. Scheduled, diffed and explained.
From half a day of assembly to a notification.
05
Knowledge that lives in one head
Policies, procedures and product detail scattered across PDFs and inboxes, made answerable — with sources attached so answers can be verified.
Onboarding stops depending on who is available to ask.
The same recurring task, end to end
Where the time actually goes.
Almost none of it is the part that needs a person. Most of a repetitive task is waiting, re-reading and re-typing — which is exactly the part a system can take, leaving the one decision that actually required judgement.
Today · start to finish100% your team
Queueing, reading, re-keying, chasing, filing.
After a buildone decision left for a person
time no longer spent
System · person
Your team, by handRuns without a personThe judgement call, still yours
02What we build
Three ways we put AI to work.
Most engagements start in one of these and spread into the others once the first result lands. You are not asked to choose a package on day one.
03The shape of a build
This is what we actually put in place.
The model is a small part of it. Most of the work is the connective tissue on either side — and the branch that sends the uncertain cases to a person instead of guessing.
fig. 02 — reference architecture, simplified
Nothing is a black box
Every output can be traced back to the input and the sources that produced it. If an answer is wrong, you can see why it was wrong — which is the only way it ever gets fixed.
Designed around the exception
92 handled straight through8 routed to a person
We build the handoff to a person first, then automate the volume around it. Projects that skip this step fail on the cases nobody wrote down.
It fails loudly
Retries, idempotency and alerting on every path. A silent automation is worse than a manual process, because nobody notices for three weeks.
Want this drawn for your process instead of ours?
Free, 20 minutes, and you leave with a ranked shortlist either way.
04How we work
Three steps. No discovery theatre.
Every engagement runs the same short arc. You can stop after any step and keep what has been built — there is no phase that only makes sense if you buy the next one.
01 Discover
20 minutes
02 Prototype
3–5 days
03 Ship & scale
2–6 weeks
- 0120 minutes
Discover
A short call to find where AI has the biggest leverage in your business.
We ask about the work, not the technology: what takes the longest, what gets redone, where the errors show up. Most conversations surface two or three candidates. We tell you which one we would start with and, more usefully, which ones we would not.
You walk away withA ranked shortlist and an honest read on feasibility.
- 02Days, not quarters
Prototype
A working proof of concept, so you decide on evidence rather than promises.
We build the narrow version of the real thing against your actual data. It runs, it can be wrong in ways you can see, and it is measured against cases you recognise. This is where most assumptions — ours included — get corrected cheaply.
You walk away withSomething you can use, plus numbers on how well it works.
- 03Weeks
Ship & scale
Production deployment, integration, and ongoing improvement.
Integration into your systems, access control, monitoring and a rollout your team is prepared for. Then the part most projects skip: watching it in real use, fixing what reality exposes, and widening the scope only once the narrow version has earned it.
You walk away withA system in production with someone accountable for it.
05The delivery kit
What leaves with the project.
Not extras, and not a premium tier. These ship with every engagement because a system without them is a prototype someone has been asked to depend on.
fig. 02 — kit
Every build leaves with eight things.
You should be able to run, audit, extend or replace us without a negotiation. That is the standard the list below is written against.
01
An evaluation set
Built from your real cases and agreed before launch, so accuracy is a number you can check rather than a claim you have to take on trust — and so we can both tell whether the next change helped.
02
Source code, yours
Standard frameworks, readable structure, in a repository you own from day one.
03
European hosting
EU infrastructure with named processors, encrypted in transit and at rest.
04
Monitoring that speaks up
Alerting on the paths that matter. A silent failure is worse than a manual process, because nobody notices for three weeks.
05
Access control & audit trail
Role-based permissions and a log of who saw what, designed at the schema rather than added when the questionnaire arrives.
06
Documentation & a runbook
What it does, how it is deployed, and what to do at 2am. Written for the engineer who inherits it.
07
An exception path
The cases that do not fit the rule routed to a person, by design.
08
A direct line
Our numbers, not a ticket queue. You message the engineer who built it.
06EU AI Act
Built for the AI Act, not certified against it.
The Regulation is now in general application, and most of what it asks for is engineering: disclosure, oversight, logs, documentation and evidence that the thing works. We build those in by default rather than selling them as a compliance package.
- 1 Aug 2024
In force
Regulation (EU) 2024/1689 enters into force, with obligations phased in over the following three years.
- 2 Feb 2025
Prohibitions & AI literacy
Banned practices apply, and providers and deployers must ensure staff working with AI have a sufficient level of AI literacy.
- 2 Aug 2025
General-purpose AI
Obligations for general-purpose AI models, governance structures and penalties begin to apply.
- 2 Aug 2026
General application
The bulk of the Regulation applies, including the Article 50 transparency duties that reach ordinary business chatbots and generated content.
In effect now - 2 Aug 2027
Embedded high-risk systems
High-risk obligations for AI embedded in regulated products, plus the deadline for general-purpose models placed on the market before August 2025.
What that means in the codebase.
Six duties, six things we do about them. None of these is expensive designed in; all of them are expensive retrofitted the week a customer sends you a questionnaire.
01
People are told they are talking to a machine
Transparency (Art. 50)Every assistant we ship discloses that it is an AI system in the interface itself, not in a policy page. Synthetic content we generate on your behalf is marked as such.
02
A person can see, stop and override it
Human oversight (Art. 14)Confidence thresholds route uncertain cases to a review queue, and every automated action has a person who can reverse it. Oversight is a screen someone actually uses, not a clause.
03
Every run leaves a trace
Record-keeping (Art. 12)Inputs, retrieved sources, the decision and who reviewed it are logged with retention rules. If a regulator or a customer asks why, the answer exists.
04
We can name every data source
Data governance (Art. 10)Where the training or retrieval data came from, what it contains, what was excluded and why — documented while we build, because reconstructing it afterwards is guesswork.
05
The file exists before you need it
Technical documentation (Art. 11)Purpose, architecture, model choices, known limitations and test results, written as we go and handed over with the system.
06
Performance is a number, not an adjective
Accuracy & robustness (Art. 15)An evaluation set built from your real cases, agreed before launch and re-run on every change, so claims about accuracy are evidenced.
We are engineers, not lawyers. Classification and sign-off belong with your counsel — our job is to make sure the evidence they ask for already exists.
07The studio
AI isn't reserved for companies with million-euro budgets.
Befzy was founded by AI engineers who spent years shipping production systems inside organisations where a failed deployment was not an option. We took that standard and pointed it at businesses that were told they were too small for it.
The result is a studio built around one constraint: everything we build has to survive contact with real users, real data and a Tuesday afternoon.
- Background
- Enterprise AI taken from first idea to production — voice assistants, automation pipelines and custom business software.
- Team shape
- Senior engineers only, no junior bench. The person on your first call is the person writing the code and the person you message at eleven at night.
- Base
- Germany, working worldwide. European hosting and GDPR-aligned processing as the default, not the upgrade.
08Why Befzy
No account managers. No ticket queues. No buzzwords.
Befzy is engineering-led. The people who scope your work have taken AI from first idea to production themselves. You talk directly to the people building your solution — which is also why we can be honest when the answer is no.
The usual wayAt Befzy
An account manager relays your question to the team.
You talk to the engineer writing the code.
A discovery phase that bills for three months.
A working prototype in days.
A roadmap presentation with a slide called 'AI Vision'.
A shortlist, ranked, with the weak ideas named as weak.
Success measured in deliverables handed over.
Success measured in hours returned to your team.
Data protection reviewed at the end.
GDPR-native architecture from the first schema.
Honest assessments, fast delivery, and technology that adapts to your business — not the other way around.
Meet the studio09Frequently asked
Questions worth asking before you hire anyone.
Something we have not covered? Ask us directly or mail hello@befzy.com.
A working prototype against your own data usually takes days rather than months, and a first production deployment typically lands in weeks. The variable is rarely the build — it is how quickly we can get access to a representative sample of your data and a decision-maker who can say yes.
Yes. We are based in Germany and work with clients worldwide. Delivery is remote by default, with calls scheduled around your timezone. European hosting and GDPR-aligned processing remain the default regardless of where your business sits, because it is the stricter standard.
We scope in phases so you are never committing to the whole thing up front. The discovery call is free. A prototype is a small fixed-price engagement sized to the use case. Production work is quoted once the prototype has told us what it actually involves — which is the only honest moment to quote it.
We work on the minimum data required, on infrastructure we can name, with processing agreements in place before anything moves. Where a use case allows it we prefer models that can run on European infrastructure. Where a third-party API is genuinely the better tool, we tell you which one, what it receives, and what its retention policy says.
That is usually the majority of the work, and we treat it as the point rather than an afterthought. If a system has an API we integrate against it; if it does not, there is almost always a workable path through exports, database access or the interface itself. We establish this during discovery, before anyone commits.
Then we say so on the call. A meaningful share of the problems people bring us are better solved by a scheduled job, a fixed integration or a corrected process — cheaper to build, cheaper to run and far less likely to surprise you. We would rather build the right small thing than sell the impressive wrong one.
The engineers who founded Befzy. There is no delivery team sitting behind a sales team — the person on your discovery call is the person writing the code and the person you message when something breaks.
Next step
Let's find your highest-leverage AI use case.
A free 20-minute call, no strings attached. We will tell you where the leverage is — and where it is not.
- No sales deck, no discovery invoice
- You get a ranked shortlist either way
- If AI is the wrong tool, we say so