In brief: the cost of AI integration isn't "the cost of AI" — it's the cost of solving a specific problem in your company. It depends on the number of systems to connect, process complexity, and data quality. The journey breaks into three phases: audit (low investment, 1–2 days), integration (variable), managed monthly fee (predictable). The audit is the low-risk entry point: you see the numbers before you spend.
The question everyone asks (and why it doesn't have a simple answer)
"How much does it cost?" It's the first question any business leader asks. And it's the right one. But giving a single number would be dishonest — because the cost of AI integration depends on what you want to solve, not what you want to buy.
Connecting AI to one ERP system and one email platform for natural language queries on order status is one thing. Integrating five different systems, automating report generation, activating predictive alerts, and training forty people is another.
Both are AI projects. But the cost is different, the timeline is different, and the return is different.
What we can do is explain the cost model, what drives the price, and how to determine whether the investment makes sense for your organization.
The 3 phases of cost
AI integration isn't a one-time purchase. It's a three-phase journey, each with different cost and value dynamics.
Phase 1: the Audit (the entry point)
The Aitaky Audit takes 1–2 days. We come on-site, map your processes, interview the people who do the work, and analyze the systems in use. The output is a report with numbers: where AI adds value, how much you can save, and what to prioritize.
It's the smallest investment and the most important one. It gives you three things: certainty that AI makes sense for you (or that it doesn't — and we tell you), an action plan with priorities, and an estimated savings figure. You decide how to proceed after seeing the numbers.
Audit cost varies based on company complexity and the number of processes to analyze. Contact us for a quote — the initial call is free.
Phase 2: the Integration (the project)
If the audit confirms that AI delivers value, we move to integration. This is the variable phase — and four factors drive the cost.
First: the number of systems to connect. Connecting Aitaky Brain to one ERP and Microsoft 365 is simpler (and less expensive) than connecting it to an ERP, CRM, ticketing system, document archive, and three network shares.
Second: the complexity of the processes being automated. A natural language query on order status is different from a demand forecasting system based on seasonal sales data.
Third: data quality. If your data is clean and structured, integration is faster. If it's scattered, duplicated, or in inconsistent formats, preparation work is needed — which we handle through our Aitaky Data service.
Fourth: the number of users. Training and supporting five people is different from fifty.
Integration includes: Aitaky Brain installation (the on-premise device that runs AI on your network), connector configuration to your systems, testing with your team, and initial training. It typically takes 2 to 6 weeks.
Phase 3: the Monthly Fee (the managed service)
After activation, Aitaky Brain becomes a managed service. The monthly fee includes: 24/7 monitoring, software and security updates, monthly usage reports, and priority technical support.
This is the most predictable cost — a fixed monthly fee you know in advance. No surprises, no hidden costs. If something breaks, we handle it.
The first year's managed service fee is included with Aitaky Brain activation.
How to determine if the investment makes sense
You don't need a complicated spreadsheet. You need one simple question: how much is the problem AI solves costing you today?
A concrete example. Your production manager spends 35 minutes per day searching for order status information, compiling reports, and answering questions that an automated system could handle. That's roughly 12 hours per month. If the fully loaded cost of that person is €35/hour, the problem costs approximately €420 per month — for one person, on one process.
Add the time others spend doing the same work. Add errors. Add information that arrives late and decisions made without current data.
The calculation isn't "how much does AI cost?" The calculation is "how much does NOT having AI cost?"
The audit is designed precisely for this: to transform the feeling ("we're losing time") into numbers ("we're losing X hours per month on these processes, costing us Y€").
Real examples (anonymized)
We don't publish price lists, but we can share order-of-magnitude outcomes from real projects.
Mechanical manufacturing company, 45 employees, Vicenza province
Systems connected: Zucchetti Ad Hoc (ERP), Microsoft 365, network shares. Result: -35 minutes per day for the production manager, weekly report from half a day to 30 seconds. The time savings paid for the investment in under six months.
Accounting firm, 12 professionals, Padova province
Systems connected: practice management software, Microsoft 365, document archive. Result: -30% time on repetitive tasks, case retrieval from 4 minutes to 10 seconds, zero missed deadlines. The managing partner said: "We recovered at least one hour per day per professional."
Transport company, 25 employees, Padova province
Systems connected: TMS, tracking platforms, ERP, Microsoft 365. Result: shipment status response from 2 hours to 15 minutes daily (total), quoting preparation time -60%.
In all three cases, the integration cost was recouped in measurable timeframes — not years, months.
Why the audit is the right first step
The audit is designed to answer the question "does it make sense to invest?" before you invest. It gives you the numbers, the priorities, and the action plan. If the result shows that AI won't deliver enough value, we tell you — and we don't propose anything else.
It's not a commitment. It's a diagnostic. And like every good diagnostic, it's the starting point for informed decisions.
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