Documents arrive faster than teams process them
Invoices, forms, requests, and attachments require repetitive reading, extraction, classification, and entry.
AI automation with control
Use AI where it removes work—not where it creates new risk
Start with one measurable workflow, connect it to the systems your team already uses, and keep human review where errors have financial, legal, or customer impact.
Pilot
from €2.5k
Production workflow
from €5k
Approach
Human review built in
01
When the current way of working becomes too expensive
A good project starts with a problem that can be explained, measured, and improved — not a wishlist of features.
Knowledge is scattered across tools
Employees search email, shared drives, CRM notes, and internal documents before they can answer routine questions.
Automation ideas lack a safe operating model
A demo can look impressive while production still needs permissions, monitoring, review, exception handling, and predictable cost.
02
What we can deliver
01
Document processing
Classify, extract, validate, and route invoices, forms, contracts, requests, and attachments.
02
Knowledge assistants
Answer internal or customer questions from approved documents with sources and access controls.
03
Workflow orchestration
Connect inboxes, CRM, ERP, helpdesk, storage, and reporting steps with monitored exceptions.
04
Human review and evaluation
Route uncertain or high-impact outputs to people and measure quality against representative examples.
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
Indicative investment ranges
These ranges support early planning and are not a quote. The final estimate depends on confirmed scope, integrations, and acceptance criteria.
Process audit or prototype
€2,500–€7,500
Typical timeline: 1–3 weeks
Use-case selection, sample data, feasibility, quality baseline, and controlled prototype.
One production workflow
€5,000–€15,000
Typical timeline: 3–8 weeks
One integrated automation with review, logging, exceptions, and operational documentation.
Multi-system automation
€15,000–€50,000+
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
Ownership and handover
- Your business data remains separated from unrelated client workflows.
- Access, retention, and model-provider boundaries are documented before production.
- Prompts, integration code, evaluations, and operating instructions are handed over as agreed.
- Model and infrastructure usage remains a visible recurring cost.
06
Frequently asked questions
How much does AI automation cost?+
A controlled prototype commonly costs €2,500–€7,500. One production workflow usually starts around €5,000–€15,000, 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 tell you whether the project makes sense, what belongs in the first phase, and the realistic investment range.
Send an inquiry