Last seats available: IoT & AI Business Development Day 22.9.
Software development with end-to-end competence
AI that works for your business
Practical generative AI, LLM and AI agent solutions — from first use case to production-ready implementation.
AI creates value when it is applied to the right use cases and built into real work — not left as isolated experiments.
Common challenges we help solve
AI feels strategically important,
but the right starting point is still unclear.
Promising pilots show potential,
but never make it into production.
LLMs and AI agents raise new questions about control,
ownership and compliance.
Teams need a more practical understanding
of where AI can create real value.
Automate with Large Language Models & Intelligent Agents
LLMs and AI agents help organisations handle information, automate workflows and support better decisions. At Wapice, we apply these technologies where they create measurable value in practice — without compromising data ownership, control or compliance.
The goal is not to add AI for its own sake, but to solve real problems in ways that fit your systems, data and operating environment:
- Find and use the right information faster
- Automate multi-step workflows and decision support
- Bring generative AI into real tools, systems and daily work
AI agents take this further by supporting more than single prompts or isolated answers. They can reason across available context, suggest next actions, trigger processes and support decision-making in a more active way. In industrial environments, this can mean moving beyond dashboards or rule-based alerts towards services that interpret signals, explain likely causes and recommend action.
From LLMs to production-ready AI solutions
Wapice provides end-to-end services for building, deploying and operating AI-powered solutions. We design intelligent agents, deploy and fine-tune LLMs, integrate generative AI into existing tools and workflows, and build context-aware solutions using customer-specific data. For customers with stricter data requirements, retrieval-augmented generation and custom data indexing offer a practical way to keep data and models separate while still enabling relevant, company-specific answers.
Typical application areas:
- Intelligent document analysis and search
- Knowledge assistants for experts, teams and customers
- AI agents for workflow automation and decision support
- Natural language access to operational and industrial data
- LLM-assisted software development and test automation
- Context-aware AI services built around company-specific content and systems
Responsible AI from the start
Generative AI and agentic systems also introduce new questions around control, ownership, traceability and governance. Wapice supports responsible AI practices from the beginning, including practical governance models and support for EU AI Act readiness.
- We build AI on long experience in critical systems, with a focus on solutions that are secure, stable and designed to last.
- We know which AI approaches are worth scaling — and which are likely to become short-lived dead ends.
- We develop AI with security and governance in mind, so customers can move forward with greater confidence in long-term use.
Key benefits of building AI capabilities with a partner:
- Move faster from AI opportunity to concrete action.
- Focus on the use cases that are worth prioritising.
- Avoid disconnected pilots and costly false starts.
- Build AI solutions that are ready for real use, not just proof of concept.
- Strengthen internal capability through training, collaboration and shared ways of working.
- Create a stronger foundation for long-term AI development and governance.
How we work
We begin every project with a collaborative phase to understand your data, processes, and objectives. From there, we move rapidly to proof of concept and after validation, to scalable implementation.
1) From the challenge to use case
We begin by understanding your goals, data, processes and current readiness. This can start with a focused workshop, maturity assessment or use-case discovery session.
2) Validate what is worth building
Together, we prioritise use cases, assess feasibility and define a practical roadmap. When needed, we build a proof of concept to validate the idea with real data.
3) Build for real use
Once the direction is clear, we design and implement the solution for production use — including integrations, deployment, governance and continuous development.
A practical way to get started
Find the opportunities with a workshop. Build capability through training. Move AI solutions forward through partnership.
AI Opportunity Workshop
Structured workshop that help you identify the most relevant AI opportunities, assess feasibility and define practical next steps.
- Identify and prioritise the AI use cases that matter most.
- Assess data, feasibility and business value before larger investments.
- Create a clear roadmap for moving from exploration to action.
AI Capability Training: AI 1000
Practical training programme that build shared understanding of AI across leadership, experts and business teams.
- Strengthen internal understanding of where AI can create real value.
- Build the knowledge needed to make better decisions around AI adoption.
- Support capability development through tailored training and programmes such as AI 1000.
AI Development Partnership
A flexible partnership model for organisations that need ongoing support in planning, building and scaling AI capabilities.
- Get continuous guidance on AI opportunities, priorities and technology choices.
- Combine advisory support with development sprints and hands-on implementation.
- Build AI solutions and governance practices that support long-term progress.
These are examples of ways how we usually start working with clients. Feel free to tell how you would like to start!
Let’s look at your system together
Whether you need architecture support, embedded and industrial software expertise, better integration between systems, more scalable use of data, or a practical path from platform work to applied AI, Wapice can help.
Tell us where the friction is: platform architecture, software quality, integration, data, AI, or lifecycle continuity.
High customer satisfaction (NPS 69) • ISO 27001 certified • Award-winning IoT & AI solutions