Services · Phase

Running today. And a year from now.

Running your AI system: we monitor, measure and maintain it so it stays as good as at acceptance. And we build the next use case on top of it.

Price
from 20% a year
Duration
from rollout, cancellable monthly
Format
hosting in Germany or in your environment
Quality reportExample values, September
  1. Test set accuracy96%, acceptance was 95%holding
  2. Model changeVersion retired, successor testedscheduled
  3. Handed to people7% of caseswithin range
  4. New customer template2 mismatchesfix pending
Change logOrder entry

14 October

Successor model checked against the acceptance test set: 96% against 95%.passed

Switched over after sign-off by inside sales.

  • As good as on acceptance day

    We measure regularly against the same test set. If a value drops below the criterion, we fix it.

  • Model changes without surprises

    We test a successor model with your test set first and only switch once it passes.

  • No AI team of your own

    Monitoring, maintenance and support sit with us. Your IT does not need a new hire for it.

  • Cancel monthly

    A share of the project price, billed monthly. Code, data and documentation belong to you.

Who it is for, and when.

  1. The model gets retired.

    Providers switch off older model versions on fixed dates, and the successor behaves differently. If nobody retests, you find out through complaints.

    Vendor information: OpenAI deprecation schedule for older models
  2. Same model, different behaviour.

    Even without a version change, a hosted model can shift noticeably within a few months. Researchers at Stanford and Berkeley measured this on the same tasks.

    Chen, Zaharia, Zou: How is ChatGPT's behavior changing over time?, Stanford/UC Berkeley 2023
  3. 43%

    The pilot runs until it breaks.

    A supplier changes its PDF layout and nobody is responsible. Most mid-sized companies do not have the people for an AI operations team of their own.

    Bitkom Research, KI in der deutschen Wirtschaft 2026, p. 12: 43% of AI users name a lack of staff

Monitor and measure

We see it before your customers notice.

Availability, quality and cost per case run into monitoring with alerts. If accuracy drops, we find the cause, test the fix and only then roll it out.

Order entryExample values
  1. Availabilitywithin range99.9% in September
  2. Test set against acceptancefix needed94% correct, criterion 95%
  3. Model updatescheduledSuccessor tested, 180 cases
  4. Cost per casewithin range€0.04, budget €0.06
Test set142 cases plus 38 new
  1. July96% correctholding
  2. August97% correctholding
  3. September94% correctbelow acceptance
Changefor sign-off
ChangeNew customer template
TestTest set, 180 cases
Result96% correct
Criterion95%
Roll-outWednesday, 14 October, 6 pm
Approve

Model changes

When the provider retires a model.

Providers switch off older model versions on fixed dates, and the successor behaves differently. We test it on your cases before it decides anything for you.

  • Tested before, not after

    The successor runs against the acceptance test set and new real cases. If it fails, we adjust and test again.

  • You sign off

    Larger changes and model switches only go live after your sign-off, at an announced time.

  • Everything in the log

    Every switch is in the change log with its test result. Otherwise nothing changes for your team.

Model changeExample values
  1. Current versionretired by the providerdeadline set
  2. Successor, acceptance test set96% correct, criterion 95%passed
  3. Handed to people6% instead of 7% of caseswithin range
Change logOrder entry

14 October

Switched to the successor model, signed off by inside sales.done

What you hold in your hands.

  • Hosting in German data centres under a data processing agreement, or operation in your environment
  • Monitoring with alerts
  • Model and prompt maintenance, tested before every switch-over
  • Ongoing measurement against the acceptance test set
  • Adjustment to new rules, formats and system updates
  • Support for your team
  • Documentation and handover to your IT, at any time

Tasks and limits.

What inviqon takes on

  • Monitors availability, response times, error rates and cost per case
  • Measures against the acceptance test set, extended with new real cases
  • Tests model changes, prompts and new formats before they go live
  • Logs every decision the system makes and every change

What your team takes on

  • Signs off larger changes and model switches
  • Confirms new test cases
  • Picks the next use case
  • Not included: general IT support for your other systems
  • Not included: legal advice on new rules; we say where you need it

Operation & improvement

The pilot takes the case into production. Operation keeps it there, measures it against acceptance and builds the next case on the same foundation. Or we hand over to your IT.

Which one when?

  • Pilot & implementation

    Nothing in production yet? Start with the pilot and its acceptance criteria.

  • AI strategy

    The next case is still open? The AI strategy ranks the candidates.

The way there.

From the first call to a system in operation. Each phase stands on its own; none ties you to the next.

  1. Intro call

    free

    30 minutes. We work out where AI fits for you and whether an AI strategy is worth it.

  2. AI strategy

    €1,990

    AI strategy for mid-sized companies: which of your processes suit AI, what the build costs and brings back, and which ones are not worth the effort.

  3. Pilot & implementation

    from €5,000

    AI pilot at a fixed price: one use case, fixed scope and acceptance criteria in writing up front. Built in your systems, tested with your data.

  4. Operation & improvement

    from 20% a year

    Running AI systems: hosting in Germany, monitoring, model and prompt maintenance, ongoing measurement, and the next use case on the same foundation.

    This page

Further reading

All posts

Frequent questions

Common questions about it.

The questions that almost always come up.

What does running an AI system cost?

From 20% of the project price per year, billed monthly and cancellable monthly. Example: at a project price of €30,000 that is €500 a month.

What happens when an AI model is retired?

We test the successor against your acceptance test set first and only switch after your approval. Day to day, nothing changes except an entry in the change log.

How do we know the AI system still works well?

From regular measurement against the same test set as at acceptance, extended with new real cases. You get the results in writing.

Can we take over operation ourselves?

Yes. Code, data and documentation belong to you. We hand over to your IT or your IT service provider whenever you want.

Where do the AI systems run in operation?

In German data centres under a data processing agreement, or in your own environment.

Is a second use case cheaper?

Usually, because connections, permissions and data preparation are already in place. The price is fixed before it starts.

The next step

Let us find out where AI pays off for you.

30 minutes, free and without obligation.