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Made for Espoo's talent events for business and tech people. Demo data: all people and companies are invented.
One event in Espoo.
Demo dataEspoo Talent Day, so far.
- challenges done
- 62
- people invited
- 12
- first talks
- 4
- decisions made by AI
- 0
- Technical
- Commercial
- Design and people
- Handed in
- Scored by a person
- Invited to talk
- A thicker line carries more work
| Company | Sector | District | People who took its challenge | Scored by a person | Invited |
|---|---|---|---|---|---|
| Halla Supply | Wholesale | Leppävaara | 6 | 3 | 2 |
| Harjula Engineering | Structural engineering | Espoonlahti | 3 | 0 | 0 |
| Hohka Materials | Battery materials | Kera | 4 | 4 | 2 |
| Tuulos Robotics | Robotics | Kera | 9 | 8 | 2 |
| Kide Silicon | Semiconductors | Otaniemi | 20 | 0 | 0 |
| Saarnivo Grid | Energy software | Otaniemi | 8 | 7 | 2 |
| Kivira Labs | Payments software | Keilaniemi | 3 | 3 | 1 |
| Revontuli Games | Games | Keilaniemi | 4 | 4 | 1 |
| Kuulas Studio | Design and software | Tapiola | 3 | 3 | 1 |
| Vesto Controls | Building automation | Espoon keskus | 2 | 2 | 1 |
Her CV got no answer.
Her work got 9 of 10.
- The company scored her work before it knew who did it.
- Her name showed only after she said yes.
What Halla Supply reads
Automate the invoices first. 900 a month at two minutes each is about 30 hours of typing, and about 18 have a typo. The rule is the same every time: one delivery note, one invoice. Not the support chatbot first. Its mistakes go straight to customers, and it needs clean order data anyway. Week 1: read 200 old delivery notes with a text reader and match them to the order system. Week 2: the tool drafts the invoices, and a person approves each one. Risk: a wrong amount or the wrong customer. For the first month a person approves every invoice, and we compare the totals each week. Last spring I built the same flow for [hidden]. I live in [hidden] and studied at [hidden]. [hidden]
What Olena wrote
Automate the invoices first. 900 a month at two minutes each is about 30 hours of typing, and about 18 have a typo. The rule is the same every time: one delivery note, one invoice. Not the support chatbot first. Its mistakes go straight to customers, and it needs clean order data anyway. Week 1: read 200 old delivery notes with a text reader and match them to the order system. Week 2: the tool drafts the invoices, and a person approves each one. Risk: a wrong amount or the wrong customer. For the first month a person approves every invoice, and we compare the totals each week. Last spring I built the same flow for Kotiranta Oy. I live in Matinkylä and studied at Metropolia. Olena Kovalenko
4 details hidden before anyone read this
How an event works.
- The challenge opens before the event.
- The company scores the work.
- The top people get invited.
- A first talk happens at the event.
- A follow-up is agreed.
People score the work.
The AI never does.
A person reads the work without the name, scores it against 3 to 5 skills and writes why. The name shows only after the person says yes.