Choosing a software development partner is one of the higher-stakes vendor decisions a business can make. Unlike buying a SaaS tool, you're betting on a team's ability to understand your business, make good technical decisions, and deliver something that works in your actual environment — not just in a demo.

For AI projects specifically, the stakes are higher still. The space is full of agencies that have slapped "AI" on their website since 2023 without meaningfully changing what they actually build. You need to be able to tell the difference before you sign anything.

This guide is for business owners, operations leads, and IT managers in Austria, Germany, and Switzerland who are evaluating AI or custom software partners. It's based on patterns we've seen across dozens of conversations with companies who came to us having been burned by a previous agency — or who were choosing wisely from the start.

What Kind of Agency Are You Actually Looking For?

Before evaluating anyone, get clear on the type of engagement you need. There are three meaningfully different agency types:

Consultants/strategy firms — They help you figure out what to build and why. Strong on analysis, weak on execution. Appropriate if you're genuinely unsure what the problem is.

Dev shops / staff augmentation — They provide engineers to work alongside your team. Good for scaling capacity. You need strong internal product ownership to make this work.

Product development agencies — They own the entire process from scope to deployment. Higher cost, but a single point of accountability. Best for companies without internal technical leadership.

For AI projects in the DACH market, most mid-sized companies without a CTO or product team are best served by the third type. You want a partner who pushes back on bad ideas, not one who just builds what you ask for.

Six Things to Evaluate Before You Decide

1. Do they understand your business problem — not just the technology?

The clearest signal of a good agency is how they handle the first conversation. A strong partner will spend most of that call asking questions: What process are you trying to improve? How does it work today? What does failure look like? Who owns it internally?

An agency that jumps straight to proposing a solution — especially one involving the latest model or framework — is telling you something important about how they work.

Ask directly: "Before you tell me what you'd build, can you describe the problem back to me in your own words?"

2. Can they show you relevant work — not just marketing case studies?

"We've worked with Fortune 500 companies" means nothing if they can't show you a project similar to yours. Ask for:

• A project with a similar technical challenge (document AI, workflow automation, data integration)
• A project of similar business size to yours
• A project that involved legacy system integration or compliance requirements

If they can show you two of three, that's reasonable. If they can't show you any, that's a problem regardless of how polished their website is.

Ask directly: "Can you walk me through a recent project similar to what we're discussing — what the client came to you with, what you actually built, and what happened after launch?"

3. How do they handle scope and pricing?

This is where most painful surprises come from. There are two common bad patterns:

Time-and-materials without checkpoints — You pay for hours, scope creeps, and three months later you have a bill twice the original estimate and an unfinished product.

Fixed price without a proper discovery phase — They agreed to a scope before understanding your data, integrations, or real requirements. When those turn out to be more complex, the relationship deteriorates.

A good agency will want to do a paid discovery phase (typically 1–3 weeks) before committing to a full project scope and price. This is actually in your interest — it produces a real specification that you own, and it tells you how the agency thinks before you're fully committed.

Ask directly: "How do you structure your proposals? Do you do a discovery phase? What does scope change look like mid-project?"

4. What does their delivery process look like after the contract is signed?

The proposal is the beginning of the relationship, not the product. Ask about:

• Communication cadence: How often do you get updates? Who is your contact? Will you see the work before final delivery?
• Review points: When can you give feedback? What happens if you want to change direction?
• Testing: How do they validate that the software works? Do they test with your real data?
• Handover: What documentation do you get? Will they support you after launch?

A vague answer here — "we work agile" without specifics — is a yellow flag. Good agencies have a consistent process they can describe clearly.

5. Do they have relevant compliance and regulatory experience?

For businesses in Austria and Germany, this matters more than it does elsewhere. GDPR compliance is table stakes, but there are additional considerations:

• EU AI Act — If your use case involves automated decision-making affecting individuals (credit scoring, hiring, access control), the EU AI Act has implications your agency needs to understand.
• Industry-specific regulation — Healthcare, finance, and legal have their own data processing requirements that need to be built into the architecture, not bolted on.
• Data residency — Where is data stored and processed? For many DACH companies, EU-only infrastructure is a requirement.

An agency that hasn't thought about these issues isn't ready to build production AI for regulated industries.

6. What happens if it doesn't work?

The best software projects still have problems. The question is how the agency responds when something breaks, underperforms, or needs to change after launch.

Ask specifically about their warranty or support terms after delivery. Ask what happened on a project that didn't go as planned. An honest answer about a real challenge — and how they handled it — tells you more than any case study.

Ask directly: "Tell me about a project that had a significant problem during or after delivery. What happened, and what did you do?"

Red Flags to Watch For

• "We can start next week" — Good agencies are busy. If they can always start immediately, question why.
• No pushback on your requirements — Agreeing with everything you say is not partnership; it's salesmanship.
• Proposal written in 24 hours — A serious proposal requires understanding your situation. A fast proposal is usually a copy-paste with your name on it.
• Vague about team size and who will actually work on your project — Find out whether the people you're talking to are the ones who'll build it.
• No post-launch plan — Automation systems need monitoring, retraining, and occasional adjustments. An agency that disappears after deployment is leaving you with a system that will gradually degrade.

What a Good Proposal Looks Like

A strong proposal from a software agency should include:

1. A problem statement in your language — Not technical jargon. An accurate description of the business problem they understood from your conversations.
2. A proposed approach with alternatives considered — Why this approach, and what was rejected and why.
3. A clear scope definition — What is in scope, what is explicitly out of scope.
4. A realistic timeline with milestones — Not just a final delivery date, but checkpoints along the way.
5. A fixed price with clearly defined change conditions — Under what circumstances does the price change, and how?
6. A success definition — How will you both know the project worked?

If a proposal is missing most of these, go back and ask for them. If the agency can't or won't provide them, that tells you something important.

A Note on Comparing Prices

When you get quotes from multiple agencies, the range is usually wide. An Austrian agency might quote €25,000 for something a cheaper offshore shop quotes €8,000 for.

The difference is rarely just labour cost. It's typically: deep domain understanding, communication quality, accountability structure, post-launch support, and the cost of fixing bad work. Offshore development often looks cheaper until you factor in the coordination overhead and the 1-2x rework cost when requirements were misunderstood.

That said, price is still a signal. Unusually cheap almost always means some combination of: offshore execution, narrow scope that doesn't include what you actually need, or a team that has underestimated the project.

Working With Us

We're a small AI software agency based in Austria, working primarily with businesses in the DACH region. We build AI integrations, custom web platforms, and backend systems.

We do a free 30-minute discovery call before anything else. We ask the questions above — because we need the answers as much as you need to hear them asked. If we think we're a good fit, we propose a discovery phase. If we think someone else would serve you better, we'll say that too.

Book a free strategy call →