AI Consultancy · Helsinki, Finland

Turning Data Into Decisive Advantage

We help mid-size businesses harness the full power of artificial intelligence — from strategy and training to end-to-end implementation.

Trusted by forward-thinking businesses across Finland

What We Do

End-to-end AI advisory services tailored for organisations ready to move beyond experimentation.

AI Trainings & Workshops

Hands-on sessions that build lasting AI literacy across your organisation — from executive briefings to technical deep-dives.

Data Readiness Assessment

We audit your data landscape and deliver a clear roadmap for making your data AI-ready and business-valuable.

Data Governance

Frameworks, policies, and tooling to ensure your data is trusted, traceable, and compliant at every stage.

AI Implementation

Custom AI solutions built and deployed for your specific workflows — from prototype to production at pace.

Custom AI Agents

Bespoke AI agents built around your company's use cases and processes — capable of connecting to your tools and data through the Model Context Protocol (MCP) to act, not just answer.

Secure Local LLMs

On-premise, locally hosted language models for organisations with the strictest data-privacy requirements — full capability with none of your data ever leaving your infrastructure.

About Haymaker

We are a Helsinki-based AI consultancy founded by practitioners with deep expertise in data strategy, machine learning, and enterprise transformation.

5000+
Workshop participants
2
Founding partners
100%
Finland-based team
Niko Korhonen
Niko Korhonen
Co-Founder

Niko brings a decade of experience in data strategy and enterprise AI across Nordic markets. He has led BCBS 239 compliance implementations, transformed legacy data reference architectures into modern data mesh models, and built reusable data products that turn governance into a genuine business asset. He bridges the gap between executive vision and technical execution — ensuring AI investments translate into measurable impact.

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Kristoffer Bang
Kristoffer Bang
Co-Founder

Kristoffer is a machine learning engineer and data architect with deep expertise in building production-grade AI systems across finance, retail, and logistics. He is also an accomplished trainer and speaker — having designed and delivered AI trainings, workshops, and seminars to thousands of participants, translating complex technical concepts into practical capability that teams can act on.

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Case Studies

A selection of engagements we're currently working on — strategy meets execution.

Data Strategy 01

Data Product Operating Model for a Nordic Enterprise

Defining the operating model, roles, and governance guidance needed to scale data products across a multi-market Nordic organisation.

Full case study — coming soon
Data Governance 02

Enterprise Data Governance for Financial Services

Building a practical data governance framework — from policy to tooling — for a financial services organisation operating across multiple business units.

Full case study — coming soon
AI Readiness 03

Data & AI Readiness Programme for Critical Data Domains

A structured programme to assess and lift data and AI readiness across an organisation's most business-critical data domains.

Full case study — coming soon

Insights

Perspectives on AI strategy, data, and the future of intelligent business — first articles publishing this autumn.

Strategy Coming Autumn 2026

Why Most AI Projects Fail Before They Begin

We'll unpack why the real bottleneck is rarely the model — it's the data — and how to fix that before you invest.

Governance Coming Autumn 2026

Data Governance Is Not an IT Problem

A look at why the organisations getting governance right treat it as a business discipline, not a technical one.

Training Coming Autumn 2026

Building AI Fluency Across Your Organisation

A practical framework for moving from isolated AI pilots to company-wide capability — publishing this autumn.

Let's Talk

Ready to explore what AI can do for your business? Reach out and we will be in touch within one business day.