Futurice

What does a modern member experience look like in 2026?

For PAM, it means bringing services closer to members through a seamless digital experience that works wherever life and work happen.

We are pleased to share that PAM has selected Futurice as its primary digital development partner for the coming years.

Together, we will renew PAM's digital member services through a new mobile application, redesigned online services, and a modern member management solution built on Microsoft Dynamics.

The renewal is part of PAM's broader service and technology development program aimed at strengthening the member experience and meeting evolving expectations, particularly among younger generations.

We look forward to building this next chapter together and helping create services that are accessible, relevant, and easy to use in everyday life.

Read the full announcement from here -

PAM selects Futurice to renew digital member services PAM is renewing its digital member services with Futurice, introducing a new mobile app, redesigned online services, and a modern member platform.

Building sovereign AI infrastructure is no longer theoretical — it’s already practical, scalable and economically viable.

In our latest blog post, we share how we built a fully self-hosted RAG solution deployed entirely within Finland together with UpCloud.

The system combines:
→ Qwen3 and vLLM for inference
→ n8n for agent orchestration
→ PostgreSQL + PGVector for retrieval
→ GPU optimisation techniques like KV cache offloading and prefix caching
→ A sovereign AI architecture designed for security, compliance and performance

We also share:
✔️ deployment architecture
✔️ GPU memory optimisation strategies
✔️ latency and throughput benchmarks
✔️ cost comparisons against GPT API pricing
✔️ lessons learned from production testing

A great example of how modern enterprise AI systems can be deployed close to business operations while remaining performant and cost-efficient.

Read the full technical walkthrough here by Anton Andreev: https://eu1.hubs.ly/H0vX_q90

Building a sovereign AI RAG solution with self-hosted LLMs, Qwen3 and vLLM Learn how we built a sovereign AI RAG platform using Qwen3, vLLM, n8n and UpCloud infrastructure. Explore GPU optimization, KV cache offloading, latency benchmarks and the economics of self-hosted LLMs.

Luxury brands have historically been the engine of physical innovation. Rolex gave us the first waterproof watch in 1926, and Cadillac pioneered automatic climate control. Unfortunately, the power that defines luxury in the physical world often fails to translate digitally.

Unable to close that gap, heritage brands are taking huge risks:
🔻Eroding brand equity: If the app feels cheap, the product feels cheap.
🔻Losing the next generation: A new generation of aspirational buyers now equates digital fluidity with true luxury.
🔻Missed market opportunity: Mainstream leaders like Monzo and ASOS are setting the UX bar higher than many heritage marques can currently reach.

For the modern buyer, digital competence is the new brand reputation. Read our full take on why luxury can no longer afford poor digital: https://eu1.hubs.ly/H0vDkG70

Why luxury brands can’t afford poor digital | Futurice Discover why luxury brands risk losing brand equity through poor digital UX. Learn how to bridge the gap between physical craftsmanship and digital excellence.

What does growth look like in practice, not just in strategy decks?

At Futurice, we had the opportunity to contribute to the Kasvuryhmä study exploring how mid sized companies in Finland, Sweden, and Germany approach growth through the lens of alternative data. The study was also featured in Kauppalehti.

Together, we analyzed:

• 56,000+ job postings
• 60,000+ company websites
• 6,400+ anonymized employee profiles
• five years of patent data

The goal was simple: understand how growth shows up in real behavior, not only in company messaging.

One finding stood out clearly:
Swedish and German companies make their growth ambitions much more visible than Finnish companies do. You can see it in recruitment, communication, and the kinds of leadership capabilities they prioritize.

The study suggests that Finnish companies have a strong foundation for growth. At the same time, many organizations still seem cautious about signaling ambition openly.

This is where alternative data becomes valuable. It helps reveal strategy through action:
what companies invest in, what capabilities they build, and what kind of future they are actively shaping.

A big thank you to the Kasvuryhmä team and everyone involved from Futurice. It was great to contribute to a study that brings more concrete evidence and new perspectives into the conversation about growth.

Download the full study here:

Kasvuryhmä | Mitä teemme Käännämme Suomen kasvun suuntaa. Sen saavuttaminen on enemmän kuin mahdollista - ja ennen kaikkea itsestämme kiinni.

Accessibility is a human right — and the ultimate AI competitive advantage

Today is Global Accessibility Awareness Day (GAAD). Accessibility is still too often misunderstood as a "final polish" or an optional extra for a small group of users.

At Futurice, we see it differently: accessibility is the foundation of digital equity and quality – and the interface standard for the AI era. Why? Because AI agents and assistive technologies read the world in similar ways.

When you build accessible services, you’re not only making them usable for people with diverse abilities and ways of navigating – you’re making them machine-readable. AI agents rely on the same semantic structures as assistive technologies to navigate, interpret, and act.

If your code lacks semantic quality:

• users with assistive technologies struggle to use your service

• AI models fail to understand information hierarchy

• AI agents can’t complete tasks reliably

• it is harder to maintain and scale.

The prevailing narrative often focuses on how AI might one day "fix" accessibility. It’s time to flip the perspective: accessibility is what enables AI to understand us. Investing in accessibility means investing in discoverability, resilience, and machine readability. It’s quality that leaves no one – and nothing – behind.

Accessible code is the ultimate foundation: it respects human diversity by default and allows AI to operate smoothly without constant manual guidance.

Happy GAAD!

Enterprise AI adoption often fails for one of two reasons: scaling too fast without the right foundations, or overbuilding before there’s real demand.
In his latest blog, Adamu breaks down Futurice’s AI Blueprint, a practical roadmap for moving from experimentation to scalable, secure AI adoption with real business impact.
Read more: https://eu1.hubs.ly/H0vrs1b0

How do you scale expertise in a world reshaped by AI?

In this Futustories interview, Saku Viita-aho shares his perspective on:
- Why AI is changing the fundamentals of business
- What it takes to connect strategy, technology, and delivery
- How to move from individual excellence to scalable impact

A thoughtful take on growth, learning, and what comes next for consulting. Read more here -

How AI Is Reshaping Business: Insights from Futurice’s Saku Viita-aho From AI-driven productivity to scalable consulting, Saku Viita-aho explores how businesses can adapt, grow, and create long-term value in a changing landscape.

DesignOps is becoming a business-critical function. Most organisations are still treating it as a design team problem.

The scope has fundamentally changed. Multiple surfaces, multiple brands, AI systems that act on behalf of users. The coordination challenge this creates doesn't sit inside the design team. It sits across legal, brand, product, and engineering.

The organisations that recognise this first, and give DesignOps the mandate to match, will be the ones who don't have to buy the answer for five billion dollars.

Jennifer Skupin explores what DesignOps needs to become.
Link to the blog in the comments.

Most AI pilots stall because they hit the reality wall. In an enterprise setting, reality means messy data, complex integrations, and strict governance requirements. If you want to move from an AI demo to an Agentic Enterprise, you need better architecture instead of better prompts.

In our latest blog, Adamu breaks down the Agentic Stack and the practical scaffolding required for real-world production:
✔️ Integration within systems-of-systems
✔️ Moving beyond the agentic black box with observability
✔️ Why Semantic Firewalls and HITL (Human-in-the-loop) are the real go-live gates

Read the full article linked in the comments below.

From “answers” to real business outcomes, agentic AI is reshaping how work gets done inside enterprises.

But with growing complexity comes the need for the right architecture, governance, and clarity on use cases. This blog breaks down how to navigate it and build AI that actually delivers.
https://eu1.hubs.ly/H0tSsH70

This blog is part of a three-part series. Stay tuned!