We work in your department.
Day 1
We accompany the team in their daily work. That way we also capture special cases that are not documented.
Agentic Engineering
AI systems for work that ties up expert time.
We build AI systems for high-volume, repetitive work. For example: every incoming invoice gets checked for incorrect VAT.
Free & no obligation · 30 minutes · One concrete process
Incoming
AI check
No issues
0
on to accounting
For review
0
with reason
Example from a project with a construction company. The counters are animation, not measurements.
We build and run our own AI products and use what we recommend every day.
Where it pays off
Before the pilot comes the math.
Volume
An AI tool is enough
- Invoices
- Phone calls
- Support tickets
- Tenders
- Annual report
- Presentation
- One-off request
Repetition
What these processes have in common
Frequent
The work comes up every day, not once a quarter.
In volume
Hundreds or thousands of cases, not one-offs.
Rule-based
Every case follows the same steps and checks.
When it pays off
Before every pilot we run the numbers with your figures. If they don't add up, we tell you before any budget is spent.
We need three figures: what the process costs today, how much of it the system takes over, and what build and operation cost.
Build
✓ Build paid off, from here it pays
Savings per month
Month 1Volume over time →
Every month the system saves working time. That pays off the build first, then the savings stay.
How we work
With your team, in weeks, not months.
Critical points first.
Week 1
We check with real documents whether the system reads them reliably. The result is available after one week.
Weekly demo.
Every week
Your team tests the current state and gives feedback. On that basis you decide on the next steps.
Is a custom system worth it for your process?
Tell us about the process that costs your team the most time. In the first call we estimate whether a custom system pays off.
How we deliver
Prototype, pilot, production.
After each phase you decide whether to continue. The scale only grows once the system has held up at a smaller one.
Using invoice checking as the example
In the pilot and in production, each square stands for many invoices.
Our foundation
The Unfuture AI Platform.
The prototype is quick to build. The way into your systems is not.
The platform solves sign-in, ERP integration and operation in your infrastructure once. Every further system reuses what is already there and goes live faster.
- Hosting
- EU / on-prem
- Instance
- Single-tenant
- Permissions
- per app and function
Your system
e.g. invoice checking, with its own database
Unfuture AI PlatformEU or on-prem · single-tenant
Security
Sign-inSSO with your company account
Audit logevery decision traceable
AI
AI gatewayseveral models, swappable
Budgetcost capped per model
Connectors
ERP and line systemsreads and writes to your systems
MCP serverconnectors also in Langdock and co.
In practice
Live, as a spin-offHeyVera · Phone assistant
175+property managers let Vera answer the phone.
Vera takes calls, understands the request and creates a clean case. The team works with finished cases instead of constantly picking up the phone.
Read the case
Live since 2025Jansen · Tenders for industrial doors
96%of the details read correctly.
Construction tenders run to hundreds of pages across many trades. The system finds the items for industrial doors and reads out the details. Sales only checks the result, in minutes instead of hours.
Read the case
Live, as a product of its ownProductLens · Customer voices
100employees at Dr. Wolff ask Pia about customer feedback.
Pia brings together reviews, support, social, surveys and market data and turns them into decisions for product, marketing and competition.
Read the caseWho it's for
Is a custom system right for you?
A custom system fits if
- a process repeats oftenInvoices, quotes, complaints: work that comes back every week in a similar form.
- off-the-shelf tools fall shortThe task needs your rules, your data and your systems, not just a chat.
- the data already existsDocuments, ERP or CRM data are there, even if they aren't clean yet.
- you want to measure impactBefore the pilot we run the numbers together, afterwards we measure against your status quo.
Not the right fit if you
- want to roll out AI across the company firstThat's what AI Adoption is for: platform, academy and ambassadors.
- need to solve a one-off caseWithout repetition a custom system rarely pays off.
- are looking for a finished standard productWe build around your process.
What stays with you
Your data,
your rules,
your control.
Data and hosting stay with you
Single-tenant is the default. Hosting in a European cloud or on-prem with you, your call. Credentials live in the platform, not in the individual apps.
Compliance in the architecture
EU AI Act, GDPR, and your industry-specific requirements sit in the system, not in an appendix. Whatever needs to be checked is checked traceably.
People in the lead where it counts
Human-in-the-loop for sensitive steps. The system proposes, your team approves, and every decision is traceable back to the source.
Let's talk
Which process ties up the most expert time?
Tell us about a process that ties up time, creates errors, or limits growth. We'll assess whether a custom AI system makes sense and what a solid pilot would need to look like.
Dennis Cutraro · Founder
You'll talk directly with Dennis.