We put AI to work
Algorithma — We Put AI to Work
Trusted by industry leaders
The agents run on AOS
AOS is our Agentic Operating System, the operating layer for enterprise AI. It runs, governs and oversees every AI agent in a business, whoever built it, inside the company's own environment and behind its own firewall.
AOS Runtime
Where the agents live, inside your own cloud.
AOS Core
Where they get built.
AOS Control
Where anyone can see what is running and why.
More than ten enterprises run AOS in production today, with more than sixty agents live on it.
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GitHubOur Projects
AI agents in production across industries
“Our growth strategy is built on entrepreneurship and autonomy, but scaling technology across a multi-brand group requires a shared operational foundation. Sponsoring the initial setup centrally gave us a repeatable playbook, allowing every brand to move fast on a common platform without sacrificing local ownership.” - Gustaf Öhrn , CEO, BHG Group
BHG Group
Nine AI agents in production across five BHG brands in under four months, on one shared platform.
The Challenge
BHG Group grows through entrepreneurship and autonomy, and each platform sets its own commercial priorities. Those priorities differ across the group: shopping guidance on one brand, customer support on another, pricing and planning on a third. Building separately for each brand would repeat the same groundwork every time. The aim was to support each platform's own priorities with shared capabilities that scale across the group.
Our Solution
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Key Results
Technologies
“Algorithma have helped us take clear, practical steps toward an AI-driven customer experience. We started with support for everyday inquiries, and are already expanding into handling claims and repayments. The collaboration is fast, hands-on, and focused on solving real problems for our customers and teams. It feels easy to work with them, and the progress has been both tangible and immediate.” - Hampus Ferm , CS Systems & Flows Manager, CDON
CDON
Nordic marketplace handling thousands of customer cases weekly, using AI agents to transform customer support operations across CDON and Fyndiq.
The Challenge
CDON and Fyndiq want to use AI in their customer support across their high-volume marketplaces handling thousands of customer cases every week. A significant share of the workload requires coordination between customers, merchants, and logistics partners. The challenge is to increase speed, accuracy, and consistency in customer service and claims handling without growing operational costs or support staffing.
Our Solution
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Key Results
Technologies
“For us, it was not just about the individual AI use cases, it was about building a foundation to scale AI securely across the organization. Together with Algorithma we created a structured and reusable approach which allows us to move faster and continuously expand how we apply AI in our operations.” - Vilhelm Hallström , CIO, Coor
Coor
Scaling AI Agents in a secure enterprise environment
The Challenge
Coor saw strong potential in AI but needed a way to scale its use across the organization without compromising on security, control, or integration with existing systems.
Key challenges included enabling AI adoption within a secure, firewall-protected environment, moving beyond isolated use cases to scalable implementation, and automating operational processes across different business areas.
Our Solution
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Key Results
Technologies
“We believe strongly in AI and we want to ship fast. Algorithma helps us develop, test, refine, and move into production at a pace that matches how we work. Together we turn ideas into working solutions that create real value right away.” - Oskar Röös , CIO @ Byggmax
Byggmax
Scandinavian home improvement retailer transforming customer service with AI agents that handle email, chat, and phone inquiries while expanding into conversational ecommerce.
The Challenge
Byggmax wants real AI outcomes, fast. One of the first focus areas has been customer service, where they introduced AI agents as part of the team. The initial goal was to handle straightforward inquiries and free human colleagues for higher value work. With early results in place, Byggmax is now expanding its AI transformation to more processes and functions across the business.
Our Solution
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Key Results
Technologies
“Algorithma gave us momentum. Within weeks we moved from discussions to a working AI colleague that teams could interact with. Seeing the agent evolve in real time built both trust and a clearer understanding of what the technology can actually do.” - Mattias Wikman , CIO Movestic
Movestic
Leading Swedish pension and insurance company modernizing case handling with AI to increase operational capacity without growing the cost base.
The Challenge
Movestic wants to increase its operational capacity without growing the cost base at the same pace. The company aims to modernize how customer cases are initiated and handled, from simple questions to more information heavy insurance processes. The goal is to improve speed and quality in case handling and create a scalable foundation across several workflows.
Our Solution
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Key Results
Technologies
“AI has become a natural part of how we operate. Together with Algorithma, we've been able to gain AI expertise and jointly been developing these AI use-cases quickly. The focus going forward is to continue growing this cooperation - both for developing additional use-cases and in transferring the ownership inhouse.” - Marcus Markstad , Senior Manager at Jeppesen ForeFlight
Jeppesen
World leading provider of resource optimization systems within commercial aviation, partnering with Algorithma to scale implementation expertise through AI.
The Challenge
Jeppesen is a world leading provider of resource optimization systems within the commercial aviation industry, helping airlines find optimal schedules for aircraft and crew. Their resource optimizers must navigate a complex landscape of local, regional and global regulations as well as union agreements, leading to highly configured, time-intensive implementation projects. As more airlines turn to Jeppesen for optimization, the core challenge is how to rapidly scale specialized implementation expertise to meet growing demand and accelerate time-to-value for their clients.
Our Solution
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Key Results
Technologies
“We want our businesses to put AI to work while maintaining clear ownership and oversight. We use AOS as a shared foundation within Stena's own environment, with visibility into the agents we connect. Together with Algorithma, our service desk team has shaped Stella to make everyday IT support easier for employees. We now have a foundation we can build on as we introduce further agents.” - Patrik Andersson , CIO, Stena Group
Stena Group
A shared foundation for AI agents inside Stena's own environment, starting with Stella for IT support.
The Challenge
Stena Group IT set out to make AI agents easier to build, run and govern across the business, with shared standards for security, ownership and operational oversight. IT support provided a practical starting point: helping employees get answers and giving the service desk the information it needs to handle requests.
- Agent governance: As interest in AI agents grew across departments, Stena Group IT wanted a shared foundation that could support different applications and deployment environments. The aim was to give teams room to innovate while providing visibility into connected agents, clear ownership and a consistent approach to governance.
- IT support: Stena's service desk supports many business areas and roles through ServiceNow. Routine cases often required several exchanges to clarify the issue and collect the information needed for support. Employees also needed an easier way to find relevant knowledge-base content and self-service options, and to submit a request without navigating different forms.
Our Solution
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