Process analysisAutomationAIDataIntegrations
Change the trajectory of work.
We find unnecessary manual work, simplify processes and connect the systems you already use.
First step: a no-commitment conversation about one of your processes.
Workflow example
Inbound request → CRM → Report
Manual · Disconnected · Slow
Illustrative example. Before: email, copy data, Excel, check, CRM, follow-up, report, all done by hand. With MOVENTRAY: email, AI, extract, validate, decide, CRM, follow-up, report, connected and automated.
Who it’s for
Built for companies where work has become complicated.
Recognise yourself in at least two of these? Then it’s worth talking about one process.
Analyze Your Process- Too much Excel and email
- Data is entered repeatedly
- Systems aren’t connected
- Reports take hours
- Only one person knows the whole process
- Approvals get stuck
- Customer requests are assigned by hand
- The same information is entered several times
Our approach
Don’t automate everything. Automate what matters.
Four steps. Each ends with a concrete output, and you decide after each one whether to continue.
Analyze
We map the current process, systems, people and data flows.
→ Process mapSimplify
We identify unnecessary steps, duplicated work and avoidable complexity.
→ Simplified process designAutomate
We automate what is worth automating — with AI, workflows, APIs or software.
→ Working automationImprove
We measure the result and continuously improve the process.
→ Measured, maintained workflow
Solution concept
Automated document processing
An example of how document processing, AI, company knowledge and internal systems can be connected into one controlled process.
Reference architecture
A conceptual example, not a delivered client project. We design the specific solution only after analysing your process.
The problem
Companies often receive invoices, contracts and other documents by email or through shared storage. The data in them is then retyped by hand into the ERP, accounting systems or spreadsheets.
The process is slow, repetitive and leaves room for errors.
We don't start with an AI tool. We start with the problem and the process.
How we build it
Process → Data → Integration → AI → Automation → Human control → Monitoring
Solution architecture
- InputPDF / emailemail · storage
- SystemETL pipelinePython
- AIData extractionAI / LLM
- AICompany knowledgeRAG
- SystemValidationrules · dataPersonHuman reviewuncertain cases
- SystemERP / CRMAPI
Input
PDF invoices, contracts and other documents arriving by email or from shared storage.
Processing
A Python ETL pipeline loads the documents, pre-processes them and prepares them for the next steps.
AI extraction
AI extracts the relevant details and structures the information the next process steps need.
Company knowledge
A RAG layer makes it possible to work with internal documents, rules and other company knowledge.
Validation
The data is checked against defined rules and the information available in company systems.
Integration
Approved data is passed via API to the ERP, CRM, accounting system or another internal application.
Human in the loop
Handoff to a person
Non-standard or uncertain cases are passed to a person for review.
Automation doesn't have to mean removing people from the process entirely. Uncertain, exceptional or sensitive cases can be passed on for review.
What the solution can bring
- less manual retyping
- faster document processing
- more consistent data
- control over non-standard cases
- documents connected to your existing systems
Potential benefits, not promised results. We measure the real impact only on a specific process.
Technology
- Python
- ETL / Data Processing
- AI / LLM
- RAG
- PostgreSQL / pgvector
- API integrations
- ERP / CRM
The architecture matters more than specific tools. We choose those to fit your environment.
Illustrative examples from other areas
Illustrative scenarios, not specific implementations. Choose an area.
Handling new inquiries
Leads arrive through forms and email and wait until someone has time to read, research and enter them.
- InquiryInput
- QualificationAI
- CRM recordSystem
- Follow-up preparedAI
- SalespersonPerson
The salesperson receives a qualified inquiry with a follow-up ready.
Other processes we often simplify
- Email processing
- Lead qualification
- CRM updates
- Invoice processing
- Document extraction
- Customer request routing
- Reporting
- Data synchronization
- Internal approvals
- Notifications
- Order processing
- Data validation
What we do
Process first. Then the right technology.
Process → Problem → Right technology → Automation → Measurable result
- Core
Automation
Remove repetitive manual work from everyday processes.
Order confirmed → status updated → customer notified
- Core
Integrations
Connect the systems your team already uses.
Order in the ERP → customer in the CRM → invoice in accounting
- Core
Data
Turn scattered business data into reliable information.
CRM + ERP + Excel → validated data → dashboard
- Core
AI & AI Agents
AI that can understand, decide and act within a business process.
Customer request → understand intent → retrieve information → decide next step → update CRM → notify a colleague
- Advanced
RAG & Knowledge
Connect AI to the knowledge your company already has.
Question → search your own documents → answer with its source
- Advanced
Voice AI
Automated phone conversations that understand the request, work with your systems and take the next step.
Phone call → Voice AI → company knowledge / RAG → AI agent → CRM / ERP → action → a person, if needed
- Advanced
Software
Build the missing piece when existing tools are not enough.
Approval app → on top of your ERP → used by the whole team
Supporting service: Websites and digital systems
A modern website that is more than a business card. We connect it to your systems, data and processes — and keep developing it.
Visitor → Website → Inquiry → AI qualification → CRM → Salesperson → Follow-up
Process Audit
Find your best automation opportunities.
The audit is the first engineering step toward implementation — not a strategy workshop. We look at real processes, systems and data together with the people who run them.
Start a Process AuditWhat you receive
A prioritized automation roadmap
- Current process map
- Identified bottlenecks
- Automation opportunities
- Priorities
- Expected business impact
- Recommended technology approach
- Pilot recommendation
The audit answers
- Where does manual work happen?
- Where does the process slow down?
- Where is data entered repeatedly?
- Where are systems not connected?
- Where are errors introduced?
- What makes sense to automate?
- Where can AI help?
- What should not be automated?
- First conversation
- Process Audit
- Pilot
- Implementation
- Continuous Improvement
Who we are
We don’t just automate processes. We improve them.
We are data engineers. Our background is building robust data warehouses, data pipelines, complex API integrations and cloud infrastructure.
That is why we approach AI and automation from the perspective of real operations. We understand how sensitive company data can be, and how important it is for a new solution to fit into the existing technology environment.
We design every solution with security, data access, reliability, scalability and long-term maintenance in mind.
We don’t build quick prototypes just for show. We build solutions that are meant to keep working when they run in a company’s real operations.
- Security
- Reliability
- Scalability
- Long-term maintenance
Process First
We understand the workflow before choosing the technology.
Engineering, Not Just Configuration
We understand the process first.
AI Where It Makes Sense
We don’t just configure tools. We build solutions that fit into a real technology environment.
Built to Run
We use AI where it brings real value.
Measurement
Measured in outcomes, not in features.
Before we build, we agree how success will be measured — and measure the starting point first.
Examples of what can be measured after implementation. Actual values always come from your own starting point — we don’t promise numbers in advance.
Fewer manual steps
Steps that need a person to copy, check or forward.
Less re-typing
Data that is copied between systems by hand today.
Faster processing
Time from a request arriving to it being handled.
Fewer errors
Corrections, rework and data issues caught downstream.
Better data flow
Information available in the right system, without re-entry.
Higher process visibility
Status, volumes and exceptions you can actually see.
FAQ
What companies usually ask first.
Usually not. We start from the systems you already use — CRM, ERP, email, spreadsheets — and connect or extend them. Replacing a system is recommended only when the audit shows it is the real bottleneck.
Often automation or a better integration is enough. We add AI where a step needs to understand text or documents, or to make a decision.
Yes. We connect systems through APIs, webhooks or databases. Where no interface exists, we design a reliable way to move the data.
Before building, we map which data a solution touches and where it is processed and stored, and agree it with you. Solutions can run in EU cloud regions or in your own infrastructure, with access limited to what the process needs.
A short, no-commitment conversation about one process. If there is a clear opportunity, the next step is a focused Process Audit. You decide after each stage.
It depends on the process. You receive the scope and an estimate after the audit. We aim the pilot at one process, so the benefit becomes visible early.
We tell you. Often it helps to simplify the process first — and sometimes the best choice is to leave it as it is.
Solutions are built to be monitored, maintained and documented. We can run and improve them with you, or hand them over to your team.
Contact
Let’s look at one of your processes.
Tell us how it works today. Together we’ll find the steps that repeat, slow the team down or move data between systems for no good reason.
What happens next
- Your process
- We understand it
- We simplify it
- We automate it
- We keep improving it
No commitment, and no savings promises before we have seen the process.