Conversational AI on Azure for a Finnish housing platform, delivered through Columbia Road from discovery to production.
AI consulting / Helsinki and the Nordics
AI consulting in Helsinki for teams that need it running in production.
I am Farhan Ihsan, a Senior Consultant at Columbia Road in Helsinki. I implement AI inside real customer journeys — Azure AI services, retrieval workflows, chatbots, and Model Context Protocol agents connected to catalog, orders, CMS, and support systems.
Based in
Helsinki, Finland
Serving
Helsinki, Espoo, Vantaa, the Nordics
Role
Senior Consultant, Columbia Road
Ways of working
Remote-first, on site when it earns it
Four things I am usually brought in to build.
Most AI consulting in Helsinki stops at strategy. This is the part where it reaches customers.
01
Agentic commerce
AI flows for product discovery, guided selling, order support, and content operations — agents that can retrieve, reason, and hand off safely rather than guess.
See the service02
Azure AI implementation
Retrieval, orchestration, and language understanding on Azure AI, delivered the way an enterprise security and procurement review expects to see it.
See the service03
Model Context Protocol integration
MCP patterns that give agents real tool access to commerce APIs, catalogs, orders, CMS, and support workflows instead of a prompt and a hope.
See the service04
Customer-facing chatbots
Assistants that answer, guide, qualify, and escalate with useful context, plus the logging and fallback paths that make them safe to leave running.
See the serviceWork that has already survived production.
Named clients and real numbers, because a consulting page without evidence is just an opinion.
Peak ordering traffic on the KFC, Hardees, and Pizza Hut progressive web apps — the scale that teaches you what AI can and cannot be trusted with.
Frontend, backend, cloud, and commerce delivery before AI was the headline, which is why the AI lands on foundations that hold.
Local context
Why the Helsinki part is not decoration
I work from Helsinki as a Senior Consultant at Columbia Road, a Finnish growth consultancy, and deliver for Finnish clients in Finnish market conditions — housing platforms, real estate brands, and commerce products that operate in Nordic conditions.
That matters more than a timezone. It means procurement conversations, data handling expectations, and stakeholder rhythms that Nordic organisations actually run, rather than a playbook imported from somewhere else.
Engagements run across Helsinki, Espoo, Vantaa, and the wider Nordics, remote-first by default.
The difference
What is different about this
The Helsinki AI market is well served for strategy, data platforms, and machine learning. It is thin on people who have shipped AI into a live commerce journey and stayed to operate it.
My work sits at that seam: the agent, the catalog it reads, the order system it writes to, the escalation path when it is wrong, and the measurement that tells you whether it earned its place.
If you want a maturity assessment, there are better firms for that. If you want an agent talking to your commerce stack next quarter, that is this.
Three steps, no mystery.
The same shape every engagement takes, whatever the starting point.
Define the agent boundary
Decide what the AI can answer, retrieve, execute, escalate, and measure — before any of it is built.
Connect the tools
Wire Azure AI and MCP-style tool access into ecommerce, CMS, CRM, and support systems.
Ship with guardrails
Add logging, fallback paths, prompt testing, and human-in-the-loop controls, then measure what changed.
Questions
Before you send the first email.
What does an AI consultant in Helsinki actually deliver?
In this practice: a working AI capability inside your product, not a report. That usually means a scoped agent or assistant connected to your real systems, with retrieval, guardrails, logging, escalation, and a measurement plan. Typical engagements run three to six months, with shorter audits and scoping sprints when the decision is still open.
Do you work with Azure AI specifically?
Yes. Azure AI services are the default for retrieval, orchestration, and language understanding, which suits Finnish enterprises already standardised on Microsoft. The same patterns transfer to other providers where a client's stack calls for it.
What is Model Context Protocol and why does it matter for commerce?
Model Context Protocol is an open standard for connecting AI models to external tools and data in real time. For commerce it is the difference between an assistant that improvises and one that can read live catalog, inventory, and order data before it answers. It is what makes agentic commerce dependable enough to put in front of customers.
Can you improve an AI feature we have already built?
Yes, and it is a common starting point. The usual first step is an audit of retrieval quality, tool boundaries, failure handling, and measurement, followed by implementation of the highest-value fixes.
Do you work outside Helsinki?
Yes. The base is Helsinki and the work is remote-first across Finland and the Nordics. I have also delivered production platforms across the Middle East, including for Americana Restaurants and Emaar.
How do we start?
Send the metric you want to move, the current pain, and any deadline. You get an honest read on fit, scope, and the next useful step within one working day.
Tell me what needs to move.
A short note with the metric, the current pain, and the deadline is enough for a useful first answer.