Futurice
futurice.com
Overview
Futurice combines technology advisory with implementation and ongoing operations rather than operating solely as a strategy firm or software vendor. Its documented AI scope includes workflow automation, context-system design, low-code AI solutions and model operations. Client cases provide evidence of integration and application engineering alongside advisory work. Buyers should distinguish these delivery services from its free published toolkits and from named client applications, which are not established as generally available licensed products. [1] [2] [3] [4] [5]
Services and delivery
Data and AI strategy advisory
Advisory. Advises on data and AI priorities, opportunity selection, portfolios and roadmaps. The offering also covers AI-transformation program leadership and capability development; it should be scoped separately from implementation. [6]
AI workflow implementation
Implementation. Designs and builds AI-enabled workflows for problems such as lead qualification, RFP automation, customer service, product-development support and organizational knowledge access. [2]
AI context-system design
Implementation. Implements context layers for existing models through machine-readable service blueprints, structured context files, linked sources, evaluation questions, knowledge maps and team handover. Deliverables are customer-controlled files, not foundation-model training or a proprietary platform. [7]
Digital product design and engineering
Implementation. Designs and delivers digital products across mobile, web, conversational and voice interfaces. Work includes accessibility, design systems and digital-channel optimization; this broader offering is not uniformly an AI service. [8]
Architecture and modernization advisory
Advisory. Assesses architecture and defines enterprise and platform architecture for modernization. The scope includes governed data ecosystems and planning changes to applications and infrastructure. [9]
Cloud migration and application modernization
Implementation. Migrates on-premises platforms and data warehouses, develops cloud-native applications and modernizes workloads. Supported environments include Azure, AWS and Google Cloud, with Kubernetes and container workloads. [10]
Cloud security and DevSecOps
Implementation. Implements cloud-focused security measures, including encryption, network security and DDoS mitigation, alongside DevSecOps. This evidence supports a cloud-security offering rather than an unrestricted cybersecurity practice. [10]
Low-code application and automation delivery
Implementation. Builds mobile and web applications, process automation, legacy replacements and hybrid low-code/custom-code solutions. Named platforms include Microsoft Power Platform, Dynamics 365, Salesforce and n8n. [11]
Low-code AI agents and bots
Implementation. Implements AI agents and bots through the low-code practice. A time-boxed AI laboratory identifies use cases and implements and validates solutions. [11]
Managed application and cloud operations
Managed services. Provides FutuCare LiveOps, DevOps and CloudOps, including monitoring, incident resolution, infrastructure optimization and ongoing development. The service describes 24/7 monitoring and individually defined SLAs. [3]
AI model operations
Managed services. Provides ongoing maintenance and optimization for AI systems and models through the managed-services offering. Buyers should establish model-specific monitoring, change management and support responsibilities. [3]
Published toolkits and frameworks
Non-technical service. Publishes free resources. These are distinct from commissioned advisory, implementation and operations services. [4]
Company details
Track record
For Bosch PRO360, Futurice reports creating an event-driven microservice platform, React web and React Native mobile applications, and a customer-support back office. The case also names Kafka and Spring, providing non-AI software engineering evidence. [12]
For Terveystalo, Futurice describes a four-week proof of concept for Nero, followed by integration with additional systems and a production-suitable version. The customer-service information retrieval solution used OpenAI LLMs, Azure AI Search, Azure OpenAI and Python. [13]
Futurice co-developed KONE’s TenderLens to extract tender-document information and integrate with CPQ and Salesforce CRM. It reports extraction accuracy above 90%, with human review retained. These are case-specific results, not general guarantees. [5]
At EnBW, work included process mapping, five proofs of concept, architecture recommendations, production implementation and knowledge transfer. Retrieval evaluation helped prioritize AI-enabled search over immediately pursuing a full chatbot. Futurice reports a 20% reduction in time per search task. [14]
Futurice and Recordly jointly delivered Neste’s RAG research assistant, using document references, hybrid semantic/BM25 search and contextual ranking. Separately, Viestimedia’s Renki case documents generative AI assistance and headline-performance prediction using historical readership data. [15] [16]
Scope and limitations
The supplied evidence consists of Futurice’s own service descriptions and case studies, not independent project audits.
Pricing, minimum engagement sizes, staffing commitments, contractual ownership and detailed support terms remain unverified.
The Neste case establishes joint delivery with Recordly, not independent delivery of every component by Futurice.
Named client solutions such as TenderLens, Nero and Renki are not established as generally available Futurice software licenses.
Questions to ask
Which delivery responsibilities will Futurice own, and which will involve other companies or subcontractors?
Which production references match our use case, integration requirements and target platform?
What evaluation thresholds, human-review controls and acceptance criteria will apply to AI outputs?
Who will own the code, prompts, context files, pipelines and deployment infrastructure?
What monitoring, model-change management, incident response, service levels and exit support are included?
Sources 16
- Services - Strategy, Technology & AI | Futurice
- Intelligent Workflow Transformation using Data & AI | Futurice
- Managed Services for Apps, AI & Cloud | Futurice
- Futurice's tools and frameworks for digital transformation
- How KONE Reduced Sales Cycle Time with AI-Powered TenderLens
- AI-Powered Strategy Consulting | Futurice
- Context System Design | Futurice
- Intelligent Digital Experiences | Futurice
- AI-Ready Platform & Enterprise Modernisation | Futurice
- Futurice Cloud solutions
- Low-Code Solutions for Scalable Digital Transformation
- Bosch: From hardware to services and data-driven business
- Nero AI: Transforming Terveystalo’s Customer Service with Fast, Reliable Information Retrieval
- EnBW: Transforming Customer Service with Generative AI
- AI Assistant Accelerates Innovation at Neste
- Viestimedia Enhances Journalist Productivity with AI Tool Renki