Ylönen Consulting is active in the implementation and integration layer of the AI agent stack. They specifically focus on turning foundation models into functional agents for legacy business workflows, as evidenced by their work building automated reseller support systems on WhatsApp.
For the agent ecosystem, they are a bridge between frontier model capabilities and real-world adoption. They champion agentic workflows by auditing existing manual processes and replacing them with AI-driven systems, while simultaneously training the workforce on how to interact with and maintain these agents through prompt engineering and modern software practices.
Ylönen Consulting operates on the premise that while most companies understand the potential of artificial intelligence, very few have a clear roadmap for where it should actually sit within their organization. Instead of leading with technology, the firm leads with a spreadsheet. Their primary offering is a systematic audit of business processes designed to identify specific workflows where AI can drive measurable returns. They move past the vague promise of efficiency by providing clients with EBITDA impact estimates and suggested KPIs for every proposed change. This financial framing positions them less as a software vendor and more as a strategic partner for leadership teams looking to justify AI spend.
While many consultancies focus solely on prompt engineering or basic wrapper applications, Ylönen provides full-cycle software engineering. Their work involves building production-ready systems, including custom APIs and system architectures that place AI at the core of the business logic. A representative example of their implementation work is their project with Aluroll, where they developed an AI-powered reseller support system delivered via WhatsApp. This project demonstrates a shift away from standard internal dashboards toward interfaces that meet the user where they already work. By focusing on deployment and ongoing maintenance, the firm attempts to solve the problem where AI experiments fail to transition into durable infrastructure.
The firm also addresses the internal skill gap through a dedicated training arm. Their curriculum covers the standard suite of LLMs—Claude, ChatGPT, and Gemini—but also dives into more specific development practices like prompt engineering and what they term vibe coding. This refers to an iterative, natural language-driven approach to software creation that uses AI to handle the boilerplate. By training employees on these workflows, Ylönen aims to ensure that the tools they implement are actually adopted by the workforce. The goal is to move beyond theoretical knowledge and provide participants with workflows they can apply the day after the session.
Founded by Elias Ylönen and based in Finland, with a planned expansion to Berlin, the consultancy maintains a lean, boutique profile. This allows for end-to-end ownership of projects, from initial scoping and interviews to final deployment. They represent a growing class of AI transformation specialists who act as the bridge between the rapidly evolving capabilities of foundation models and the rigid requirements of traditional business processes. By focusing on a high-touch methodology, they compete against both larger management consultancies and smaller technical dev shops. Their value proposition rests on the ability to translate technical potential into a line item on a balance sheet.
A systematic approach to identifying and implementing AI opportunities within business processes.