Do we already need perfectly structured data?
No. To get started, a clearly scoped knowledge area or one defined process is usually enough.
In the AI Opportunity Sprint, we make visible:
- what is already usable immediately and
- what should be prepared first.
Clean data helps later, but it is not a barrier to entry.
Do we need to be technically strong already?
No. The offers are intentionally built so non-technical decision-makers can understand and buy them.
We only bring in technical complexity
- where it is genuinely needed for security, integration, or impact.
What matters most is having one contact person in IT — we handle most of the technical detail work.
Can this run in our existing IT environment?
Usually yes. We work on top of your existing IT stack (for example M365 and current tools) and choose solutions
- that are suitable for the DACH context,
- take EU hosting / GDPR into account, and
- fit sensibly into your landscape.
That is why we clearly separate software, setup, and operations and discuss security and hosting early.
Is this also relevant for small and mid-sized companies?
Yes — especially for them. SMBs and mid-market companies benefit most from clearly scoped, fixed-entry offers because they do not want months of consulting; they want visible results within 30–60 days.
Our offers are shaped to require manageable internal effort and provide clear next steps — without needing an in-house AI team.
How much internal effort is required from our side?
For a typical start, you usually need:
- 1–2 responsible people (for example leadership / business owner + IT),
- a small number of workshops or check-ins, and
- some time for feedback and testing.
We handle most of the concept work, setup, and implementation.
The goal is productive first results without disrupting day-to-day business.
Why are prices visible publicly?
Because pricing clarity builds trust.
The visible prices are entry prices with a defined scope and help you understand
- expected effort,
- offer depth, and
- a realistic budget frame.
Any additional scope is offered transparently as an add-on module — not hidden later in the process.
Do we always have to start with the AI Opportunity Sprint?
No, but it is the standard entry point.
The sprint is ideal when priorities and the target picture are still unclear.
If there is already a clearly defined and tightly scoped need, we can also start directly with:
- a Secure AI Workspace setup or
- a concrete AI assistant / workflow project.
What matters is that the entry stays understandable, manageable, and clearly bounded.
What is the difference between workspace, knowledge, and AI Assistants & Workflows?
Secure AI Workspace
creates a secure AI workplace for teams with roles, governance, and access logic.
Make knowledge AI-ready
structures company knowledge so AI can work with it meaningfully.
AI Assistants & Workflows
implement concrete assistants or workflows for clearly scoped business processes — with direct impact in day-to-day work, for example in sales, support, or operations.
That allows us to move step by step instead of trying to do everything at once.
What happens concretely after the AI Opportunity Sprint?
After the sprint, it becomes clear:
- which use cases are actually worth pursuing,
- which first implementation path makes sense, and
- what a 30/60/90-day plan looks like.
Typical next steps are:
- a Secure AI Workspace setup as a safe foundation,
- a knowledge setup for one important area, or
- a first AI assistant / workflow with a clearly defined scope.
There is no hidden obligation to move into a large transformation — you decide the next step.
How do you address privacy, security, and the AI Act?
We do not sell legal advice, but we do make sure the introduction is clean and documented:
- clear policy building blocks for internal usage,
- role and access logic,
- documentation support for privacy and IT security, and
- consideration of AI literacy requirements such as enablement and training.
That makes it much easier for you to represent security, privacy, and governance internally — without having to invent everything from scratch.
Are we tied to specific tools or providers?
No. Salty Labs is not a proprietary platform product.
We work with proven, often EU-hosted solutions and choose what fits best with:
- your existing IT,
- your compliance requirements, and
- your budget.
What matters to us is that you are not locked into us, but end up with a solution you can continue to operate.
Do you only advise, or do you actually implement as well?
We come from practical implementation and we:
- build setups ourselves,
- support go-lives,
- see real usage inside teams, and
- rely on things we have already tested productively.
We do not recommend anything we have not already built, used, or integrated into real workflows ourselves.