Process measurement
We select the process and measure its current state: how many hours, how many errors, how much waiting. This becomes the baseline for comparison.
Process automation with ChatGPT
We automate what repeats: invoices, orders, reports, contract review. ChatGPT reads, extracts and prepares, a person approves, and the process runs without waiting and without retyping.
Built for ISO 27001NIS2 DORA
- Invoice and receipt processing
- Order intake
- Report preparation
We automate the process, not the task
- End to end from the document to the record in the system
- Exceptions uncertain cases go to a person
- Measured hours saved and error counts
- ChatGPT OpenAI API, Agents SDK and the ChatGPT Business / Enterprise workspace
Classic automation stops where free text has to be read: an email, an invoice, a contract, a review. Language models now take over exactly those points, so a process can be automated end to end, from the incoming document to the record in the system, with human approval where it adds value.
With ChatGPT we automate processes through API calls from your systems or through n8n / Power Automate / Zapier flows with GPT models. Every automated process has measurement (time saved, errors), an exception path (what happens when the model is unsure) and a responsible person. We start with the process that hurts most and show the result in numbers.
Use cases
The scenarios we implement most often with ChatGPT. Each one starts with a single process and is measured.
Invoice and receipt processing
Incoming documents are read, data is extracted, matched against orders and prepared for accounting; mismatches go to the accountant with an explanation.
Order intake
Orders from email, PDF or forms become records in your system, stock is checked and a confirmation is sent to the customer.
Report preparation
Weekly and monthly reports are built from system data with a plain-language summary, so management reads conclusions, not tables.
Contract review
Incoming contracts are compared with your template, deviations are flagged, and the lawyer receives only what needs a decision.
Candidate screening
CVs and cover letters are matched against the job requirements using your criteria, with a summary and interview questions prepared; a person decides.
Customer feedback analysis
Reviews, surveys and support conversations are grouped by topic and sentiment, and recurring problems are raised to management. ChatGPT reads thousands, a person reads the summary.
How we implement it
From the first conversation to a working solution, with measurement and ongoing support.
Design
We design the automated flow: where the model reads and extracts, where the system writes, where a person approves and where uncertain cases go.
Build and test
We build the flow with API calls from your systems or n8n / Power Automate / Zapier flows with GPT models, test it on last month's documents and compare it with what people did.
Launch and results
We launch with support and after a month deliver a report: hours saved, error counts, share of exceptions. Then we move on to the next process.
Frequently asked questions
Won't the model make mistakes?
It will, which is why every flow has an exception path: when the model is unsure or the data does not match, the case goes to a person. We measure accuracy and show it to you.
Where are our documents processed?
On the OpenAI platform with a company workspace, administrator controls and, where needed, data residency in the EU. ChatGPT Business, Enterprise and API data are not used to train models, and the company workspace is controlled by an administrator: who signs in, who sees what, which settings are enabled.
Where should we start?
With the process that repeats most often and hurts most, usually invoices or orders. We show the first result within a month.
How much does it cost?
Pricing is per user (ChatGPT Business / Enterprise) or by usage (API); we choose the mix based on what is actually used. We give the automation price after the process measurement, together with the expected return.
Related services
ChatGPT agents
An agent is not a chat window but a coworker without hands: it receives a task, gathers data from your systems, takes action and reports back.
ChatGPT integrations
AI is most useful not in a separate window but inside your systems: ERP, CRM, helpdesk, document management.
ChatGPT assistants
An assistant that knows your policies, price lists and contracts, not the internet.
Expertise confirmed by certifications
This service is delivered by specialists with valid international certifications. Their expertise is confirmed by independent organisations, not by us.
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Artificial Intelligence Security Professional
AI systems are deployed with protection against data leakage and model abuse.
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ISACA Advanced in AI Risk
AI risks are identified and managed like any other IT risk.
Get a quote for process automation
Tell us which process or system you want to improve with ChatGPT, and we will send a quote within 1 business day.
We reply within 1 business day