Documents pile up before anyone can act
Invoices, forms and attachments need to be read and entered manually. Work waits while your team sorts the inbox.
AI automation with control
Give your team time back for customers and growth
We automate document entry, inquiry routing, answer preparation and reporting. We connect AI to the tools you already use, with your team reviewing the decisions that need their judgment.
Pilot
from €2.5k
Production workflow
from €5k
Approach
Human review built in
01
What is slowing your business down?
Identify repetitive tasks, missing information, and steps where work stalls. We use those needs to build a solution for your team.
Simple questions take too long to answer
Employees search emails, folders and CRM notes for information they need to respond to a customer.
Reports and follow-ups keep getting postponed
Collecting figures, updating systems and forwarding requests consumes time that could go into serving customers.
02
What we can build for your business
01
Turn incoming documents into usable data
We extract agreed fields from invoices and forms, check them and send them to your system. Unclear cases go to a person for review.
02
Help your team find the right answer
An assistant searches approved company documents and shows sources, helping employees answer recurring questions with the right context.
03
Keep inquiries moving
We classify requests, route them to the right team and prepare reply drafts in your CRM or helpdesk, with approval where needed.
04
Prepare reports without gathering data by hand
We connect agreed data sources, schedule reports and flag missing information so your team can focus on interpreting the results.
03
Is this the right approach?
It fits when
- A repeated text, document, or data task has clear inputs and a measurable output.
- People can describe what a correct result looks like and review uncertain cases.
- The necessary systems provide approved integration or export methods.
- The value of saved time or faster response can justify implementation and operation.
Consider a simpler option first when
- The process is rare, poorly defined, or changes before anyone agrees on the correct result.
- An error can create serious impact but no qualified human can review the output.
- A standard rule-based integration solves the task more reliably and cheaply.
04
From business problem to maintainable product
Each stage ends with a concrete decision, keeping scope, cost, and responsibility visible.
01
Select one valuable workflow
Measure current volume, handling time, error cost, and the exact result the automation must produce.
02
Prepare data and guardrails
Define access, examples, sensitive data, review points, fallbacks, and integration boundaries.
03
Pilot against real cases
Test quality, latency, operating cost, and exceptions before connecting the workflow to production actions.
04
Operate with monitoring
Log outcomes, review uncertain cases, monitor cost and drift, and expand only when the pilot is reliable.
05
Project starting prices
These are starting prices for the scope described. Your quote reflects the workflows, features, and integrations your business needs.
Process audit or prototype
from €2,500
Typical timeline: 1–3 weeks
Use-case selection, sample data, feasibility, quality baseline, and controlled prototype.
One production workflow
from €5,000
Typical timeline: 3–8 weeks
One integrated automation with review, logging, exceptions, and operational documentation.
Multi-system automation
from €15,000
Typical timeline: 2–6+ months
Several workflows, data sources, permissions, monitoring, and business-system integrations.
What changes the price most
- Data quality, volume, formats, and access permissions
- Number and reliability of business-system integrations
- Required accuracy and financial, legal, or customer impact of errors
- Human-review design, exception queues, monitoring, and audit logs
- Model usage, hosting, storage, evaluation, and ongoing support
Technology chosen for the problem
OpenAIClaudeRAGOCRPythonNode.jsVector searchCRM & ERP APIs
06
Frequently asked questions
How much does AI automation cost?
A controlled prototype starts at €2,500. One production workflow usually starts around €5,000, while multi-system programs often start around €15,000.
How long does an AI automation take?
A prototype can take one to three weeks. A production workflow with integrations, review, logging, and exception handling commonly takes three to eight weeks.
Which process should we automate first?
Choose a frequent, measurable task with clear inputs, repeatable judgment, available examples, and a person who can review uncertain results. Avoid starting with the most politically or legally sensitive process.
Can AI connect to our CRM or ERP?
Yes, when the system offers an approved API or integration method. The automation should use the least access needed and log every production action.
How do you reduce AI errors?
Use representative evaluation cases, structured outputs, source grounding, confidence thresholds, business rules, human review, logging, and fallbacks. No model should be treated as error-free.
A clear next step
Describe the process you want to improve
We will suggest what we can simplify, how the solution would work, and the scope and budget for a useful first release.
Send an inquiry