Your company can achieve more. AI consulting and implementation: process automation, machine learning and systems integration
We advise on, design and build AI solutions, from the first diagnosis to support after go-live.
Why companies come to us
Facing a different problem? Describe it in the form
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Order handling
Document capture
Data from scans and PDFs flows into the ERP or TMS automatically, and your team only approves it.
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Sales
Inquiry and quote analysis
An assistant pulls the parameters from the inquiry email and calculates a preliminary price using your rules.
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Company knowledge
AI assistant for company knowledge
Your team asks its own AI model that knows your documents, and the data never leaves the company.
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Maintenance
Predictive maintenance
A model trained on equipment data and failure history flags the machine that needs service before it stops production.
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Quality control
Visual quality inspection
A computer vision model applies the same criteria to your entire production. We test its accuracy in the first sprint, using images from your line.
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Warehouse and purchasing
Demand forecasting
A model forecasts demand for every item, taking seasonality into account, and suggests what to order and when.
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What we can build for your company
Examples from our projects. The methods behind them work in other parts of a company too. How they work
AI process automation
Language models, AI agents and computer vision take over tasks that cost your team hours today.
More on automationAI assistant for company knowledge
Your team finds answers in contracts, procedures and regulations faster, with the source cited.
Analysis of inquiries and quotes
Prepares a draft quote based on customer requirements and previous offers.
AI agent for multi-step tasks
Handles a task from the email to the system entry, and your team only approves the result.
Visual quality inspection (computer vision)
Uses photos to detect defects, damage and mismatches with system inventory.
AI document capture (OCR)
Invoices, orders and contracts from scans go straight into the system as structured data.
AI assistant for the email inbox
Customer emails are sorted and assigned to the right person before anyone opens them.
Machine learning and forecasting
Machine learning models forecast demand and failures using data from all your company systems.
More on machine learningDemand forecasting
Less excess stock and fewer stockouts thanks to a sales forecast for every item.
Machine failure prediction
Predictive maintenance: the maintenance team knows about a problem before it causes downtime.
Recommendation systems
Product recommendations based on purchase history, in your online store and in sales.
Downtime tracking and OEE
Operators log the cause of each stoppage in an app, and the report shows what is lowering equipment effectiveness.
Reports and dashboards (BI)
KPIs update automatically, without compiling data from spreadsheets by hand.
ERP, CRM and online store integration
Your systems exchange data through an API (Application Programming Interface), the database or a connector we write for them, so every piece of information has a single source and is entered only once.
Transportation management system (TMS) integration
Orders from customer emails and PDFs appear in the TMS ready for approval.
Case studies from our work
Industry, solution and result. We do not publish client names.
All case studiesConstruction · RAG
AI assistant for German construction regulations
An answer in 10 minutes instead of 1.5 hours.
Logistics · OCR and integration
Order capture and TMS integration
Seconds instead of minutes per document. Only exceptions are handled manually.
Process optimization
and AI engineering
in one team
We speak the language of management, operations and IT.
We handle analysis, design, implementation and support ourselves.
After go-live, the same team that built the solution is accountable for how it works. We combine hands-on process improvement experience with expertise in machine learning and building AI systems. What we build connects to the systems you already use, such as your ERP, TMS or CRM. Code, data and documentation stay with your company.
A solution that fits your company.
We map the process with the people who do the work, remotely and on site. We design a tool your team will actually use every day. If changing how the work is done or connecting systems is enough without AI, we tell you so.
Secure and scalable architecture.
At the start, we agree with your IT team where the solution runs and what the security requirements are: your servers or the cloud, in line with the GDPR. We design the architecture so that further systems can be connected without rebuilding everything.
A fixed price for a concrete result.
Before we start, we calculate what the process costs today and what you gain after implementation. Each sprint takes 2-3 weeks and has a fixed price. After each one, you check what already works and decide whether we continue.
Combined team experience
- 20+ yearsin process optimization and management
- 15+ yearsin data analysis
- 10+ yearsbuilding solutions with emerging technologies
cm-opti is a member of the Western Chamber of Industry and Commerce (ZIPH) in Gorzów Wielkopolski and the Lubusz Metal Cluster.
Let’s get started. Get in touch.
First step
Fill out the contact form.
Karol or Michael will get back to you by the next business day at the latest to schedule a free online intro call.
Free online intro call
In 60 minutes we learn about your challenges and point out 2-3 areas with the greatest potential. You get our conclusions in writing.
Tailored proposal
We prepare a proposal tailored to your needs, with a clear scope, budget and timeline. The proposal is non-binding. If you accept it, you decide after every sprint whether we continue.
AI implementation: frequently asked questions
Don’t see your question? Write to us.
How much does AI implementation cost?
The price depends on the type of solution and the scope. Automating a single process with off-the-shelf tools costs the least, an AI assistant for company documents costs more, and a custom model, for example for demand forecasting or visual quality inspection, costs the most. The number of systems to connect and the state of your data also matter. The intro call is free. For a broader scope, a paid diagnosis is needed, and we deduct its cost from the first sprint if you order the implementation. You get a fixed-price proposal in writing, together with an estimate of running costs such as cloud and licenses. You pay sprint by sprint and can end the engagement after any of them.
How long does AI implementation take, and when will I see the first results?
We automate a single process in 2-6 weeks, while a larger solution, such as a custom demand forecasting model, can take up to a few months. We work in 2-3 week sprints, so the first part is running at your company after the first sprint. The total time also depends on how quickly your team tests and signs off each sprint. Before we start, there is a free online intro call and, for a broader scope, a diagnosis that takes a few days.
How much time does our team need to invest?
We handle the process analysis, design and build ourselves. From your company, we need interviews with the people who run the process, access to the data and one person who reviews the results during each sprint. How much of their time this takes depends on the project, so we state it in the proposal.
Does our data need to be clean before we start?
No. First we check what data your company has and whether it is usable. If it needs filling in or cleaning up, we do that as part of the project. If the process itself is not well defined, we start there, because automation speeds up a process along with its errors.
Is my company’s data secure?
Yes. The solution runs where you decide: on your company’s servers or in the cloud, GDPR-compliant in both cases. The code and data belong to you, including after our engagement ends. If you need it, we sign a non-disclosure agreement (NDA) and a data processing agreement before accessing your systems.
Will the solution comply with the AI Act?
The AI Act (the EU regulation on artificial intelligence) classifies AI systems by risk level. Document capture, a company knowledge assistant and demand forecasting do not fall into the high-risk category. Before the project starts, we check which category your solution falls into and what obligations follow from it, e.g. telling customers that they are talking to AI. At the end, we train your team and hand over documentation that describes how the model works and who approves its decisions.
What kinds of companies do you work with?
Companies of every size, from small businesses to large enterprises, in manufacturing, logistics and services, in Poland and abroad. The team works from Gorzów Wielkopolski and the Tricity, remotely and on site, in Polish, German or English. We scale the scope to fit: one process where people repeat the same steps with documents or data is enough to start.
What happens after implementation?
We train your team, hand over the documentation and check how the solution performs in daily work. After that we stay involved: we handle support requests, add new features and retrain the models when the data changes. We agree on the scope of support with you.