Implementation
Process documents automatically
Extract recurring documents and pass on structured information: one document type, up to ten fields and visible checks for uncertain results.
Implementation / Process automation & systems integration
VAT-exempt under section 19 of the German VAT Act
Add AI to a defined task
Support one clearly defined task with AI: classify messages, assign information or prepare drafts, with test cases and human approval.
US$2,799.00
Total price · one-offVAT-exempt under section 19 of the German VAT Act
- One AI-supported task within an existing workflow
- One model provider, one intake point and one agreed destination system
- Up to 30 approved test cases with expected results
Your enquiry is non-binding. An order is created only when you accept our quotation .
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Service scope
Your result
- A limited AI function with documented input and output format
- A test report and approval path for uncertain or consequential results
Included
- One AI-supported task within an existing workflow
- One model provider, one intake point and one agreed destination system
- Up to 30 approved test cases with expected results
- Structured output, quality rules, approval step and handover documentation
Excluded
- No autonomous agent with freely expandable access rights
- No model training, complete knowledge assistant or guaranteed answer correctness
- No model, platform or hosting fees
Which projects does this service suit?
Suitable if …
- Your team handles many similar texts and can review prepared results.
- You want to assess limited AI use through specific cases.
Not suitable if …
- AI should independently make binding decisions without agreed limits.
- Examples, review criteria or ownership of substantive errors are missing.
Possible overlaps with: Automate a recurring workflow. If you enquire about these services for the same project, we check for duplicated work before commissioning. Your selection also shows a notice.
What this covers
Where can AI help a workflow without losing control?
AI can pre-sort an enquiry or prepare a draft reply. It needs a limited task and verifiable output format. We insert one such step into an existing process and define when a person reviews the result.
We define permitted input, response categories or fields and review criteria. We then test the AI step using suitable process examples. Results needing human review are passed to that person.
A good example set reveals limitations
We use up to 30 professionally confirmed test cases, including ambiguous and incomplete input. Plausible-sounding text is not necessarily correct. Assessment follows your task, such as correct assignment or a fully copied reference.
Integration limits data access and subsequent actions to confirmed scope. Free text is not treated as permission for extra actions. Model changes, new categories and larger inputs may alter behaviour and need suitable retesting.
Does this sound familiar?
Similar texts need pre-sorting
Many messages follow recurring topics. A category and responsible-team suggestion can be prepared if ambiguous cases remain visible.
Drafts require substantial preparation
Your team writes similar replies from known details. We define which content may be prepared and which statements must be reviewed before sending.
An AI prototype looks good but has barely been tested
A few successful examples reveal little about difficult input. We define expected cases and failure criteria before connecting the step to the workflow.
How we approach it.
Limit the task and consequences
We describe expected output and permitted resulting actions. Allowed data, provider and human decision points are agreed in writing.
Trial with confirmed examples
The AI step is tested with normal and difficult input. Incomplete outputs and unclear assignments have a defined return path.
Embed it in the workflow
We connect the function to agreed systems and hand over test cases, configuration and approval step. Usage costs and later model changes remain traceable.
After handover
Judge quality against processed cases and their significance for your workflow. One wrong reference can matter more than many well-written answers; review criteria should reflect this.
New tasks are not automatically part of the existing integration. Turning pre-sorting into an assistant that sends independently requires new agreement on permissions, checking and consequences.
Describe a typical run: what triggers it, which programs are involved and when is it finished? An example without personal data is enough to begin.
Note exceptions, approximate frequency and the responsible person. Credentials, real customer messages and confidential documents do not belong in the enquiry form.
Terms used in this service
What does that mean?
- Structured output
- A predefined result format with named fields or categories. It helps technical validation but does not automatically guarantee substantive correctness.
- Test case
- A known input with a professionally confirmed expectation. These cases make AI-step changes comparable and show which errors would matter in daily work.
- Approval step
- A point where a responsible person reviews the prepared result. Only their confirmed decision triggers the agreed further processing.
Before your enquiry
Questions about the offer.
What is included, what do you need and what happens after your enquiry?
The process in detail →Can AI send emails directly?
The base package provides human approval for external communication. Additional subsequent actions require expressly described and reviewed scope.
Do we need to train our own model?
This package connects a suitable existing model provider. Training or adapting your own models is excluded.
Will every answer then be correct?
No. Tests show behaviour on agreed examples. Unclear and incorrect results remain possible and need the intended review or fallback path.
Can we use our existing n8n?
An existing n8n setup can host the integration if version, operation and required connections fit. Specific suitability is checked before starting.
How do recurring costs stay manageable?
We name the service used and agree input and execution limits. Actual usage costs depend on use and provider pricing and are paid separately.
When does work begin?
We confirm the start and delivery deadline in writing after reviewing your documents. The agreed scope and complete source data determine the schedule.
Which access is needed?
A definable task with examples and a professionally responsible person Agreed data processing, suitable provider and permitted content Credentials must not be included in the enquiry. Details are agreed only after written commissioning.
What happens after handover?
One written follow-up round is included. The service scope lists the analyses, designs or technical changes covered by the package. We agree additional work with you before it begins.
Read more on this topic
Calculating automation: time saved is not the same as profit
Count recurring work, deduct checking and exceptions, and include setup and operation. An example for n8n, Make, Zapier and AI workflows.
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Analysis
Review an automation opportunity
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