This is not a price list or an offer. The figures represent the baseline for the specific case described. Different scales yield different numbers. Where we lack our own calculation, we do not provide a figure, and the item is omitted here.
Figures by area
Each card shows the project name, client profile, and upfront cost. Expand to see monthly costs, deployment timeline, ROI timeline, and a link to the detailed breakdown.
Automated invoice processingmanufacturing company, 40 people, over 200 invoices per monthupfrontpricing determined during the workshop
- Monthly
- from 679 PLN net
- Timeline
- 15–20 business days
- Breakeven
- after 5–9 months, saving 4,000–6,000 PLN monthly
On-premise AI server for email summaries70 people, 13B model, 200 emails dailyupfrontfrom 18,500 PLN gross for hardware
- Monthly
- approx. 130 PLN for electricity
- Timeline
- from driver setup to testing on 50 messages
- Breakeven
- the company owns the hardware, so ongoing costs are limited to electricity
On-premise model for contracts and proposals80 people, 600–800 scans monthly, documents never leave the companyupfrontpricing determined during the workshop; hardware is a used workstation or a new server with an encrypted drive
- Monthly
- no subscription
- Timeline
- 4–7 weeks to a running pipeline
- Breakeven
- on-premise hardware breaks even from 700–900 pages monthly; below that, APIs are often cheaper
Integration with your existing systemsingle integration: ERP, warehouse, HR, CRMupfrontpricing determined separately for each integration
- Monthly
- no subscription
- Timeline
- included in the total deployment timeline
- Breakeven
- typically the largest cost driver, not licenses
Connecting the model to ERP or contract workflowfull integration, following a successful accuracy testupfrontpricing determined after the accuracy test
- Monthly
- no subscription
- Timeline
- additional 3–4 weeks
- Breakeven
- not needed to test accuracy, so it is never built on day one
AI-generated product photographycatalog frame from your source photo, billed per unitupfront0.15 PLN per priority image, under 0.08 PLN in batch queue
- Monthly
- approx. 764 PLN per batch of 10,000 images
- Timeline
- the batch returns for review before publication
- Breakeven
- source photo preparation and batch review are added to the unit rate
Cloud AI vendor exit86 users, 1.5 GB dataset, migration to an in-house solutionupfrontfrom 18,000 PLN net for technical support, 3,500 PLN net for vendor-side export, approx. 4,900 PLN for legal counsel
- Monthly
- no subscription
- Timeline
- reprocessing the dataset from scratch on the company side
- Breakeven
- below 1,500 PLN monthly for the service, migration rarely breaks even
Pilot and process auditthe entry point when it is unclear where to startupfrontquote after two days on site and a process review
- Monthly
- no subscription
- Timeline
- 4–8 weeks from workshop to production release
- Breakeven
- the next stage begins only after the previous one is accounted for in hours
Testing environment (sandbox)testing the model on a copy of in-house data, without external exposureupfrontpricing depends on required security measures
- Monthly
- no subscription
- Timeline
- from 1 business day; 1–3 weeks when two-factor authentication is involved
- Breakeven
- the deliverable is a list of hits and misses, not a marketing assessment
- Breakdown
- AI sandbox: secure testing
Video productionsource asset from which subsequent variants are generatedupfrontquote after brief
- Monthly
- no subscription
- Timeline
- 3–6 weeks for the source asset; subsequent variants in hours
- Breakeven
- savings come from variants, not from the first shoot
- Breakdown
- Automating video production
When it does not pay off
Thresholds where we advise against implementation or suggest revisiting the discussion in a quarter. Each comes from a calculated project, not caution.
- Fewer than 200 invoices per monthsavings will not cover the subscription and maintenance costs of document workflow.Invoice workflow implementation
- Fewer than 700–900 document pages per monthan in-house server does not pay off faster than an external API. At 200–300 pages, an API is often cheaper and simpler.Local AI model reads contracts
- Current vendor subscription below 1,500 PLN per monthmigrating to an in-house solution rarely breaks even: labor costs exceed savings.Exiting an AI vendor
- No single process owner on the company sideimplementation stretches from 15 to 40 days. This is the most common cause, not the technology.Invoice workflow implementation
What actually drives the cost
In the implementations we calculated, licenses are the smallest line item. The largest is configuration and integration with existing tools: warehouse software, HR and payroll, email, CRM.
Added to this are data migration, field mapping, and training key staff. That is why an estimate without an integration list is incomplete. Request this list from every vendor, including us.
Second conclusion: for data that cannot leave the company, a one-time hardware purchase replaces the subscription. The hardware remains company property, with electricity as the only ongoing cost. When this pays off and when it does not, we detail in local AI server.
- Integrationspriced separately, usually the largest line item
- Configuration and testingtest suite, data backups, permissions, logs
- Training and documentationArticle 4 AI Act, acceptable use policy, systems registry
- Licenses or hardwarevendor subscription or in-house server and electricity
Questions and answers
Frequently asked questions
How much does an AI implementation cost?
Depends on the scope. Invoice processing for a 40-person company starts from 679 PLN net monthly after deployment. A local AI server for email summaries starts from 18,500 PLN gross for hardware.
The largest line item is usually not software licenses, but integrations with existing systems. We price each separately, depending on the target system.
We prepare a quote for your company during the workshop.
How quickly does AI implementation pay off?
Invoice workflow for a 40-person company breaks even within 5–9 months. Savings reach 4,000–6,000 PLN monthly in reduced accountant and approver hours.
On-premise hardware deployments follow a different calculation. The server remains company property, leaving electricity as the only ongoing cost: around 130 PLN monthly.
How long does implementation take?
From workshop to production release typically takes 4–8 weeks. Invoice workflow takes 15–20 business days, a local document-reading model takes 4–7 weeks, and a sandbox environment deploys from one business day.
We deploy complex agentic systems in stages so that each phase delivers measurable ROI.
When is an AI implementation not worth it?
Under 200 invoices per month, the savings will not cover the subscription. Below 700–900 document pages per month, an external API is often cheaper than a dedicated server. Cloud provider migration rarely pays off below a PLN 1,500 monthly subscription.
The most frequent obstacle is the lack of a single process owner on the company side. When this happens, implementation extends from 15 to 40 days.
Where do these figures come from?
From our implementations and materials published on this website. Each item links to the full calculation. We do not provide a figure without a published calculation. Figures apply to the specific case described and do not constitute an offer. We prepare an estimate after discussing your process.
Estimate
Calculate it for your process
The figures on this page filter out ideas that will definitely not pay off. The exact figure for your company depends on document volume, systems to integrate, and the person leading the process. The plan generator turns this into reference points, and the first call serves to price it.
- GeneratorImplementation plan in nine questionsThe same figures tailored to your process, data, and systems, with obligations and subsidies.
We want to startWhere to start AI implementation in a companyWhich process to pick first, how to measure it, and how to tell it has paid off.
GrantsAI implementation grants for companies in 2026PARP, KPO, FENG: which programs, what thresholds, and what we prepare for the application to make it submission-ready.
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