mietti.
Internal automation

AI that feels effortless.

I help Finnish companies automate internal work with practical AI, specialising in customer service solutions. Real results, no technical jargon.

~5 yrs
Experience in process automation
Customer service solutions
My core domain
Engineering & design
M.Sc. (Tech.) and service designer

Three ways to work together.

Most companies start with a workshop and continue wherever the value is biggest, often in customer service. I find the friction, build the fix, and can explain all of it to anyone.

01

Workshops & training

A half- or full-day session where your team learns to use AI in everyday work, safely and concretely. The low-risk way to start.

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02

Automation builds

I design and build the AI automations that remove internal manual work, most of all in customer service. Working software, not slide decks.

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03

Fractional AI lead

I act as your part-time AI lead: prioritising, steering, and getting adoption over the line. Expertise without a full-time hire.

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Use cases.

Examples of how I bring AI into a team's everyday work. These are anonymised illustrations, and every engagement is tailored.

AI course for team leads

Five-part hands-on Claude course for non-technical leads.

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Challenge

Team leads across several departments wanted to use AI in their work but were non-technical and unsure where to start.

What I did

Ran a five-part hands-on Claude course that took non-technical leads from the basics to applying Claude in their own workflows, and even building working tools with it.

Result

Participants finished using Claude day to day and shipping their own simple tools, with no coding background.

Finance

A Claude tool that lets non-technical users move invoice data themselves.

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Challenge

Moving invoice rows between two systems needed technical know-how, which made it a bottleneck for the people who actually had to do it.

What I did

I audited both systems and their APIs, built a Claude-based tool that handles the transfer through API calls, and designed it so a non-technical person can run it.

Result

Non-technical users now do the transfers themselves, and technical support got their time back.

Volume recruitment

A chatbot interview that pre-screens candidates' key details.

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Challenge

A logistics talent team collected each candidate's visa type and other key details through a form, but candidates often selected the wrong visa type, which caused errors later in the process.

What I did

I built an AI chatbot that interviews each candidate, helps them identify their correct visa type, and collects the other key details, then feeds the structured data into the recruitment process.

Result

Candidates identify the right visa type up front, and incorrect submissions dropped sharply.

Multilingual support enablement

LLM translation tooling that skips the platform's costly add-on.

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Challenge

A support team needed to reply to customers in many languages, but the ticketing platform's own translation add-on would have raised costs significantly.

What I did

I built LLM-powered translation tooling instead: automation flows and API integrations, plus a sidebar app that translates agents' outgoing replies into the customer's language, using parameters from the conversation to know which language to translate to.

Result

Agents reply in languages they don't speak, with no expensive platform add-on.

Miro Miettinen, founder of Mietti
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"Most automation projects fail because they start with the technology. I start with where your team's time actually goes, and build from there."

Miro Miettinen

Founder

M.Sc. (Tech.) and service designer · ~5 years in AI for customer support

Less busywork. More time to think.

Tell me briefly where your team's time goes, and we'll see if I can help.

Prefer email? miro@mietti.fi