Hiring an AI Agency: 12 Questions for the First Meeting

Choosing an AI agency is a decision without a benchmark for many mid-sized companies: you buy something you cannot fully assess technically, in a market where new providers appear daily. The good news is that you do not need to be a developer to separate substance from sales talk. You just need to ask the right questions. These twelve matter most.

Key takeaway: Four areas decide the outcome: integration depth (does the system write into your software or stay an island?), data protection (EU hosting, data processing agreement, EU AI Act), cost structure (fixed price or open bill, minimum term, who owns the result) and operation (who maintains the agent after go-live?). Get every answer in writing before you sign.

Why the right questions decide project success

Because most AI projects fail not on technology but on what was never clarified beforehand. Research from MIT Project NANDA (2025) shows that around 95 percent of generative AI pilot projects deliver no measurable ROI. The most common reason is not a weak model but missing integration into the processes and data the company actually works with.

That is exactly what a first meeting can reveal. Asking the following questions tells you within an hour whether a provider sells a tool or solves a problem.

Technology and integration: questions 1 to 3

1. Does the AI agent write into our existing systems, or does it only produce text? This is the single most important question. An agent that answers an enquiry but does not write the lead into the CRM and does not book an appointment creates follow-up work instead of saving it. Ask which systems will be connected: CRM, ERP, calendar, inventory, phone system.

2. What happens when the agent cannot answer a request? A good system recognises its limits and hands over to a human, including the conversation history. A poor one guesses. Ask about the escalation path and how often it triggers in comparable projects.

3. Where does the agent get its knowledge, and who keeps it current? Products, prices and opening hours change. Clarify whether the knowledge base is maintained manually, who does it and whether it is included in the price. An overview of system types is in our article Which AI agents exist.

Data protection and law: questions 4 to 6

4. Where is data processed, and is there a data processing agreement? The answer must be: in the EU, with a DPA, covering all sub-providers. Ask to see the contract before commissioning, not afterwards.

5. How does the solution meet the EU AI Act transparency obligations? Since August 2026 the transparency obligations of Article 50 of Regulation (EU) 2024/1689 apply: users must be able to recognise that they are interacting with an AI system. A provider who cannot answer this confidently has not engaged with the topic. Details in our EU AI Act guide for SMBs.

6. Will our data be used to train third-party models? The only acceptable answer is no, contractually guaranteed. In sensitive sectors, professional confidentiality applies on top, for example under Section 203 of the German Criminal Code in healthcare.

Cost and contract: questions 7 to 9

7. Is this a fixed price, and what exactly is included? Ask explicitly about concept, integration, testing, training, operation and model costs. Channels such as WhatsApp add usage-based third-party fees that should be calculated upfront. How this breaks down is shown in our articles on AI chatbot costs and the WhatsApp Business API.

8. Is there a minimum contract term? A long commitment is a poor deal for a tool you can only evaluate in operation. Monthly cancellability signals that a provider trusts its own solution.

9. Who owns the result, and what happens if we switch providers? Clarify usage rights, data export and documentation. If switching means starting from scratch, that is a cost risk not stated in the quote.

Collaboration and operation: questions 10 to 12

10. Who will actually work on our project? At larger agencies, the people in sales are often not the ones who implement later. Ask who your contact will be after the contract is signed.

11. What is the first measurable milestone, and when does it arrive? Good projects start with a narrowly defined use case and a testable result within a few weeks, not with a complete overhaul. Ask when you will first see something real.

12. Which metric should change, and how do we measure it? Without a defined target, success cannot be assessed afterwards. Sensible metrics include enquiries answered outside business hours, processing time per case, or the rate of missed calls.

Which answers should make you cautious?

Four patterns that experience shows point to problems, regardless of provider:

A transparent provider answers all of this in the first meeting without hesitation, and in writing in the quote.

How ArkeonTech answers these questions

Since we are a provider ourselves, openness belongs here. Our answers to the twelve questions in short: we natively connect CRM, ERP, calendar and telephony; the agent escalates to your team with the full conversation history when it reaches its limits; knowledge base maintenance is included in the monthly price. Processing and hosting run in the EU with a data processing agreement, your data is not used to train third-party models, and we implement the transparency obligation through clear AI disclosure.

On pricing we work with fixed-price quotes after a free analysis, with no minimum term and monthly cancellability. The solution is documented and built to be transferable. You speak throughout with the engineer who also implements the project. And we always start with a defined use case and an agreed metric rather than a complete project.

An overview of all services with prices is available under AI agents and automation.

Frequently asked questions about choosing an AI agency

How do I recognise a reputable AI agency? By three things: it names concretely which of your systems will be connected, answers data protection questions immediately and in writing, and proposes a defined first use case with a measurable target instead of a complete project.

What does hiring an AI agency cost? It depends on the use case. At ArkeonTech, AI agents start at 1,500 euros setup plus 99 euros monthly, voice agents at 2,500 euros plus 149 euros monthly. Software and web projects run at a fixed price after a free analysis. The initial call itself is free.

Should I choose a local agency or a national provider? It depends on complexity. For deep process integrations, being able to sit down on site and review the workflows together helps. For clearly defined standard cases, distance matters less.

How long does it take from commissioning to go-live? For chat, support and WhatsApp agents typically 2 to 4 weeks, for automation agents 3 to 5 weeks, for voice agents 4 to 6 weeks. Custom development starts with a testable prototype within days.

What must an AI agency quote contain? The scope with all cost components, the systems to be connected, the data protection framework including the processing agreement, the rules on usage rights and data export, the term, and the agreed success metric.

Do I need my own technical staff for operation? No. In a service model the provider handles hosting, monitoring and fine-tuning. Your team only works with the results, such as qualified leads in the CRM or booked appointments in the calendar.

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Facing this decision and want to walk through these questions calmly? Book a free initial call. We answer all twelve, even if you end up choosing a different path.

Sources

• MIT Project NANDA (2025): The GenAI Divide - State of AI in Business
• European Union (2024): Regulation (EU) 2024/1689 (EU AI Act), Article 50