Solutions
Where Laava makes the difference in real operations
These are the kinds of AI solutions we build when documents, knowledge, customer questions, and handovers still cost too much time. Pick the solution direction, or jump straight to the relevant case studies and industries.
Use this page to see quickly
which solution direction fits your bottleneck
which case studies are closest to your situation
which industries show these patterns most often
Solution directions
First AI Application
From first bottleneck to first working AI flow in a controlled, commercial setup.
Best when you need a serious first move, not another workshop.
Forward Deployed Engineer
Hands-on implementation inside the operation where AI, systems, and delivery have to land together.
Useful when internal teams need shipping power, not only advice.
Cloud-Agnostic Architecture
Keep models, vendors, and infrastructure interchangeable where it matters.
For teams that want leverage without locking the whole operation into one stack.
AI Cost Optimization
Reduce runaway model and orchestration costs without breaking the user experience.
Relevant once AI is live and cost discipline starts mattering.
AI Integration Gateways
Connect AI safely to the systems, APIs, workflows, and rules the business already runs on.
Strong where the integration layer is the real blocker.
Chat With Your Data
Retrieval and answer flows that make internal knowledge actually usable in daily work.
Best where people still lose time in folders, SharePoint, mail, and manuals.
In-House LLM
Private-model setups for teams that need tighter control over data, hosting, and governance.
Useful when privacy, data residency, or sensitive workflows rule out off-the-shelf defaults.
LangGraph Agent Applications
Stateful agent flows for operations where routing, recovery, and handover quality really matter.
Good fit for multi-step work, not one-shot prompting.
MCP Server Development
Expose systems and business actions cleanly so agents can work against the real operation.
Useful when tool access and system actions need structure, not prompt hacks.
Model Context Protocol
MCP design and implementation for cleaner agent-system interaction across tools and environments.
Best when context delivery and tool orchestration are becoming a bottleneck.
Sovereign AI
Controlled AI setups for teams that need data ownership, isolation, and long-term architectural leverage.
For operations where compliance, security, or vendor exposure cannot be hand-waved away.
Related case studies
View case studiesSharePoint Knowledge Layer
Permission-aware semantic search across 50,000+ SharePoint documents. Search time dropped from 12 minutes to 45 seconds, with zero permission violations in production.
Multi-Brand AI Customer Operations Platform
The customer-facing implementation of a shared AI platform for a multi-brand energy operation. One platform supports voice, chat, L2 ticket handling, debt-related flows, and sales conversations across 20+ brands without duplicating logic, knowledge, or governance.
Sovereign AI Infrastructure
Private AI platform for a global maritime engineering company. Open-source models running on-premise with Kubernetes - zero data leaves the building.
CSRD Narrative Drafting Assistant
AI drafting assistant for sustainability teams that turns ESG data and CSRD requirements into structured first drafts, so reporting starts from a grounded narrative instead of a blank page.
Industries where this lands often
View industriesConstruction, Manufacturing & Engineering
The manufacturing and construction industries are at a tipping point. The “gray wave” threatens to cause crucial technical knowledge to disappear, while machines and construction projects are becoming more complex than ever. Laava ensures that this expertise does not retire. We embed decades of experience into smart AI systems that support mechanics and engineers on the job. We transform static manuals and blueprints into active, problem-solving assistants.
Public & Social Sector
The public sector faces a paradoxical challenge: society demands greater transparency (Open Government Act) and faster service, but administrative pressure and staff shortages are increasing. Where traditional consultants often get bogged down in policy memos, Laava provides the technology that actually breaks through the bureaucracy. We use Generative AI to make governments more transparent, accessible, and efficient. This way, we ensure that civil servants spend less time on paperwork and have more time for citizens.
Business Services
In business services, knowledge is the product and time is the limiting factor. Law firms, consultants, and agencies often still spend hours on repetitive “knowledge work”: poring over documents, writing proposals, and checking contracts. Laava helps this sector reclaim that time. We build ‘Intelligent Agents’ that act as digital employees. This allows professionals to focus on what they are really good at: strategy, creativity, and customer relations.
Transportation & Logistics
The logistics sector physically relies on trucks and ships, but digitally it often still relies on PDFs, scans, and endless email chains. Where traditional consultants focus on route optimization, Laava focuses on information optimization. After all, the biggest delays don't occur on the road, but in the back office. We use Generative AI to bridge the gap between unstructured documentation and structured systems, enabling chains to operate faster, more transparently, and with fewer errors.