25%
faster to results
For SMBs & mid-market
Introduce secure company AI with clear business value.
We help SMBs and mid-market teams introduce AI securely and make it productive fast. From prioritization to implementation.
40%
better results
15%
more productive output
Problem
Many companies feel pressure around AI, but the right entry point is still unclear.
Between tool hype, manual handoffs, and unclear processes, what is usually missing is the first concrete step that actually fits the organization.
Unclear entry point
It is obvious that AI matters, but not where to start in a way that creates real business value instead of more noise.
Tool chaos instead of a system
Individual tools appear across teams without clear governance, roles, or integration into the existing IT environment.
Too much manual work
Research, document handling, handoffs, and repetitive answers continue to consume time even though they could be structured better.
Processes stay fuzzy
Knowledge is scattered, workflows are not clearly mapped, and that makes it hard to see where AI can help productively.
Our solution
Salty Labs turns AI pressure into a secure and productive entry point.
We introduce company AI in a way teams can understand, justify, and use in day-to-day work. Clear for decision-makers, cleanly prioritized, and aligned with the real IT situation.
Define the right starting point
We clarify whether prioritization, a secure workspace, or a clearly scoped pilot is the most sensible first move.
Turn AI pressure into a concrete rollout plan
Together we prioritize the use cases that fit your teams, systems, and internal constraints instead of starting too broadly.
Move from first setup to productive usage
We help build secure AI workspaces, knowledge access, and workflow automation that become usable in day-to-day operations quickly.
With a view to governance, AI literacy, and documentation in the spirit of the EU AI Act.
Clear offers instead of AI buzzwords
Our offers
From the first AI workshop to productive implementation in your processes.
AI workshop / AI Opportunity Sprint
We work with you to identify where AI really makes sense in your business, prioritize the most relevant use cases, and define the next steps.
Clear priorities instead of idea listsRelevant use cases instead of gut feelingConcrete 30/60/90-day roadmap
Secure AI use for teams
We create the foundation for teams to use AI securely, in a controlled way, and in line with the existing IT environment.
Secure entry instead of shadow ITClear roles and usage rulesFits your existing IT
AI integration for concrete processes
We bring AI into productive use where it creates real value in business functions and processes — from support to integration.
Focus on real processesLess manual workFaster day-to-day workflows
Additional topics as needed
Make knowledge AI-ready
Data sources and internal knowledge structure
Special setups on request
BENEFITS
What concretely improves in day-to-day work
Not in abstract terms, but in faster workflows, less manual work, and more usable knowledge — exactly where teams lose time every day or friction builds up unnecessarily.
Faster to results
Recurring tasks, preparation work, research, and internal answers become more structured and significantly faster.
Accelerate and automate processes
Recurring workflows, handoffs, and process steps become more structured, significantly faster, and automated where it makes economic sense.
Measured effect
More than 25% shorter processing times in service-heavy and process-oriented workflows
Make knowledge usable faster
Information from PDFs, repositories, team knowledge, and existing systems becomes easier to find and more usable in day-to-day work.
Practice examples
How our clients get started with AI
Concrete examples from current projects — without company names, but with real outcomes.
PRACTICE EXAMPLE / MANUFACTURING
Internal knowledge access for service and field teams
Distributed service manuals and product documentation were turned into an internal AI knowledge access layer — for around 280 employees, in 4 weeks.
WHAT CHANGED?
Answers to standard questions now take seconds instead of minutes. Far fewer follow-up questions to headquarters.
HOW WE WORK
From first use cases to productive company AI in four clear steps
No long-term project, no experimentation lab. We start where it creates the most value for you — and expand from there in a controlled way.
Identify the highest-value opportunities
We analyze together where AI has the biggest leverage in your company — and what is realistically achievable.
Build a secure foundation
We set up a secure AI environment — with roles, governance, and a clear operating model that fits your IT landscape.
Make the first solution productive
We implement a concrete AI assistant or workflow — for a clearly scoped process with measurable value.
Scale in a controlled way
Based on the first results, we expand into more teams, processes, or knowledge domains — with clear prioritization.
Roles and access logic from day one
Governance and usage rules in the setup
Fits your existing IT
Book an intro call
We will show you where your best starting point is.
Team
The team behind Salty Labs
Strategy, product, and technical implementation in one team — with experience from enterprise delivery, venture building, and practical hands-on execution.
We do not set up anything we have not already built, used productively, or tested in real workflows ourselves. That is why our advice is not theoretical, but grounded in implementation.
Stefan Hain
Strategy, Product & AI Implementation
MBAI · PSPO I · PSM I · 10+ years in product and strategy
Connects business, tech, and UX and translates AI topics into clear use cases, roadmaps, and implementable product logic.
Timo Rogge
Growth & Commercial Execution
Engineering understanding · Business development · Venture building
Connects business development, partnerships, and operational execution so technology becomes a viable commercial model.
Chris Meinl
Technical Implementation
8+ years in software engineering and architecture · CTO/tech co-founder · 15,000-user product
Leads the technical delivery of stable, scalable AI solutions — from infrastructure and integrations to productive rollout.
What we recommend is not just something we designed on slides — it is something we have already built, used, or operationally tested ourselves.
FAQ
Common questions before getting started
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.
How do we clarify scope and effort?
In the first conversation, we clarify which entry point makes sense for your situation and how large the initial scope should really be. We look at: - the target picture, - the teams involved, - technical constraints, and - the most realistic next step. That keeps the entry understandable and clearly bounded before a concrete implementation scope is defined.
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.
CONTACT / INTRO CALL
Find out which setup makes sense for your company
In a non-binding 30-minute conversation, we clarify whether an AI Opportunity Sprint, a Secure AI Workspace, or a first AI assistant / workflow is the most sensible entry point for your company. You briefly describe your situation — we help assess potential, effort, and a realistic first step.
Prefer to reach out by email? Send us a short note with your context, team, and preferred entry point at [email protected].
Book a time directly
You can select a suitable time directly through our external booking service. For privacy reasons, we only load the calendar after you deliberately open it.
Helpful context for the first conversation
- which area should benefit first (for example sales, support, operations)
- which data or systems are involved
- whether the main priority is security, knowledge, or automation