For mid-sized companies in the renewable-energy sector
We identify the economically strongest AI use cases in your processes, take them safely into production within 30–60 days and keep improving them with your team.
AI agents in productive use · Full-day AI analysis workshops in mid-sized companies · Currently implementing for a leading wind-turbine manufacturer
A relevant share of daily work consists of tasks AI can support reliably today: finding information, transferring data, checking documents, preparing tickets and producing recurring reports.
While this work stays manual in your company, others are standardising their processes. They handle more projects with the same team, react faster and protect their margin better.
The question is no longer whether AI matters. The question is where it changes the economics – and how to anchor it safely for the long term.Day-to-day business keeps running while it stays unclear where AI genuinely changes the economics – and how to anchor it safely in your company.
Which use case first? Without an economic assessment the answer stays a matter of taste.
As soon as someone is overloaded, on holiday or gone, the process stalls.
Well-meant initiative turns into shadow AI that nobody feels responsible for.
The prototype works technically. Without integration, operations and ownership it still creates no value.
Waiting does not save money. It only postpones the change – while competitors handle more projects with the same team, react faster and protect their margin better.
Three phases that build on each other – and a loop that does not end at go-live. We combine your internal process knowledge with sector understanding, engineering depth and a clear view on security.
Clarity & prioritisation
Together with you and your specialists we examine where time is lost today, which processes depend on individuals and where unnecessary cost or lost opportunity is created.
A prioritised basis for decision and implementation instead of a loose list of ideas.
Production implementation
We take the most relevant use case into the real workflow. First we check whether an existing solution should be used, integrated, adapted or custom-built.
An application in daily productive use – not an isolated demo.
Operations, enablement & scale
Models, vendors, regulation and processes keep moving. We run operations and continuous improvement – and build internal capability so your team can steer it.
A capability inside your company instead of dependency on an external vendor.
The workshop is the standard entry point. If you already bring a clearly defined use case, budget, data access and decision authority, we go straight into an implementation sprint.
Recurring patterns from real projects. We are standardising these packages so every project makes the next one faster.
Invoice verification, reconciliation of contract and operating data, prepared investor reporting.
Continuously monitor relevant requirements and tenders and classify them by portfolio and company relevance.
Extraction, completeness checks, deadline tracking and clean handovers between everyone involved.
Make company knowledge from approved documents, policies and process descriptions securely queryable.
Enrich, prioritise and prepare incoming cases for specialist handling.
Monitor approved sources, check defined parameters and correlations, prepare recurring reports.
Trust layer
We work without invented percentages and without unapproved references. This is the honest state of play.
Proven
The starting point was similar every time: relevance understood, plenty of ideas and pain points, but no defensible prioritisation. The feedback confirms above all the value of clarity about which problems to solve first.
In implementation
For a company in the medical sector we are building a Jira agent that enriches incoming tickets and prepares them for handling. The use case came directly out of the prioritised workshop result.
Analysis only
At a printing company we identified the relevant potential and use cases in the workshop. The implementation was later done by another partner. The case proves the quality of the analysis – not our delivery.
Sector proximity, entrepreneurial scrutiny and engineering depth. All three of us can run the first conversation – and we bring in whoever fits your question.
A small senior team instead of a bloated consultancy. Short paths, direct communication and ownership all the way into productive use.
Sector & delivery lead
Combines the energy sector, commercial thinking and delivery leadership. He translates AI potential into concrete use cases, defensible roadmaps and decision material for management and specialist teams.
MBAI · PSPO I · PSM I · 10+ years in product and strategy in the energy sector
Entrepreneurial scrutiny
Tests critically whether a venture makes economic sense, separates hype from real value and brings focus into complex decisions. Technology only counts when it solves a real problem better.
Engineering understanding · Business development · Energy industry experience
Engineering & operations
Owns architecture, integration, data protection, security and productive operation – and explains technical decisions so they stay commercially decidable.
8+ years in software engineering and architecture · CTO/tech co-founder · 15,000-user productNo speculative tool purchases and no pilot graveyard. You know which application should create value first – and why.
Repetitive preparation is automated. Experience stays where it matters: clients, exceptions and decisions.
Clear guardrails, defined ownership and controlled handling of sensitive data from day one.
Operations, monitoring, improvement and market observation do not land back on your team after go-live.
Enter your name, email and phone number and choose a suitable slot in the calendar.
We discuss your current situation, goals and bottlenecks by phone. You get an honest first view on whether there is meaningful potential – and whether we fit.
If the potential is clear, we discuss approach, stakeholders, outcome and investment range. The next step is the analysis workshop or, when the prerequisites are clear, an implementation sprint.
Ready for the first economically sensible AI step?
No. A defined knowledge area or a clearly scoped process is enough to start. The analysis workshop makes visible what is usable right away and what should be prepared first. Clean data helps later – it is not an entry barrier.
That is explicitly not the point. AI takes over repetitive preparation, structures information and supports checks. Your people keep decision authority and gain time for clients, exceptions and decisions. The goal is more capacity with the same team, not a smaller team.
No. We only bring in technical complexity where it is genuinely needed for security, integration or impact. What matters most is one contact in IT. We handle the bulk of the technical detail.
Usually yes. We build on your existing systems and choose solutions that - work in the DACH context, - respect EU hosting and GDPR and - fit sensibly into your landscape. We keep software, setup and operations clearly separated and discuss security and hosting early.
Especially then. Mid-sized companies benefit most from a clear, bounded entry point, because they do not want months of consulting but visible results. Our approach is cut to work with manageable internal effort – without an in-house AI team.
For a typical start you need: - 1–2 owners (e.g. management or a business unit plus IT), - a few workshops and alignment sessions and - some time for feedback and testing. We handle design, setup and implementation. The goal is productive first results without stalling your daily business.
No, but it is the standard route. The workshop is ideal when the target picture and priorities are still fuzzy. If you already bring a clearly defined use case, budget, data access and decision authority, we go straight into an implementation sprint.
Afterwards it is clear - which use cases are economically worth it, - which one should be implemented first, - which data, systems and people are needed and - which security and governance guardrails apply. You decide the next step. There is no hidden obligation to a large transformation.
We do not sell legal advice, but we do deliver a clean, documented rollout: policy building blocks for internal use, role and access logic, documentation support for data protection and IT security, and AI literacy requirements taken into account. We make no blanket critical-infrastructure claims. Where such requirements apply, we evidence them per project.
No. Salty Labs is not a platform product and not a reseller. We work with proven, mostly EU-hosted solutions and choose with you what fits your IT, your compliance requirements and your budget. It matters to us that you can keep running the solution without us.
Implementation and operations are the core of our business model, not an add-on. We build setups ourselves, support go-lives and see real usage in teams. We recommend nothing we have not already built, used or integrated into workflows in practice.
An honest first orientation. No obligation and no hype.
20-minute potential call
20 minutes on the phone. We look at where your company stands, which goals and bottlenecks matter most, where the first AI entry points could be and which next step fits your situation. The call promises no finished roadmap and does not replace a workshop. You get an honest first orientation. If we see no sufficiently relevant lever, or we are not the right partner, we will say so just as openly.
Prefer email? Send us your company, the area in question and your biggest open question at [email protected].
Useful for the call
