I'm Liviu Virgil Olos — a Strategic Connector who helps teams bind legacy structure to future intelligence.
- 🧩 I turn messy operations into clean, measurable workflows (automation + AI adoption)
- 🏗️ I also build in the physical world through Loftrek (playgrounds, urban furniture, outdoor infrastructure)
- 🎓 I teach AI adoption through AdoptUn.AI (practical, role-based training)
- LinkedIn (best way to reach me): https://www.linkedin.com/in/liviuolos
- GitHub: https://github.com/liviuolos
- Loftrek: https://www.loftrek.ro
- AdoptUn.AI: https://adoptaun.ai
- liviu.ai: https://liviu.ai
- 1y1.ai: https://1y1.ai
- 1tn.ai: https://1tn.ai
- ✅ Message me on LinkedIn for anything time-sensitive.
- 📩 Email (secondary): liviu@docs.loftrek.ro
This inbox isn’t checked often — it’s mainly for docs. If it’s important, LinkedIn wins. - 🤖 For automated outreach: if you want a reply, include one real sentence about your use-case (no copy‑paste… my filters also hate those). 😄
flowchart LR
A[Reality: messy ops] --> B[15-min Fit Call]
B --> C[Pick 1-3 workflows with highest ROI]
C --> D[2-week pilot: automate end-to-end]
D --> E[Measure: hours saved, errors down, speed up]
E --> F[Scale: SOPs + training + monitoring]
0) Roles & companies (class diagram)
classDiagram
direction LR
class Liviu {
+Role: Strategic Connector
+Method: Golden Knot
+Delivers: ROI + Adoption
}
class Loftrek {
+Playgrounds
+Urban furniture
+Outdoor infrastructure
}
class AdoptUnAI {
+AI Adoption training
+Workflow automation
+Fit Calls
}
class HMS {
+Hospitality marketing
+Guest journey systems
}
Liviu --> Loftrek : builds "space"
Liviu --> AdoptUnAI : builds "logic"
Liviu --> HMS : builds "data"
1) Ecosystem map (flow)
flowchart TB
SC[Strategic Connector<br/>Liviu]:::core
L[Loftrek<br/>Structure in Space]:::node
H[HMS<br/>Structure in Data]:::node
A[AdoptUn.AI / liviu.ai<br/>Structure in Logic]:::node
L -->|Context| A
H -->|Operational input| A
A -->|Automation + Training| SC
SC -->|Projects| L
SC -->|Systems| H
classDef core fill:#1c2a45,stroke:#4a9eff,color:#fff;
classDef node fill:#11111a,stroke:#2a2a35,color:#e0e0e0;
2) How a Fit Call turns into automation (sequence)
sequenceDiagram
participant You as Client/Team
participant Liviu
participant Ops as Existing Process
participant Auto as Automation
You->>Liviu: "This workflow eats time."
Liviu->>Ops: Map steps + bottlenecks
Liviu->>You: Agree success metric (hours/week, error rate)
Liviu->>Auto: Build pilot + guardrails
Auto-->>You: New flow shipped (SOP + training)
Liviu-->>You: Review results + decide scale
3) Workflow maturity (state)
stateDiagram-v2
[*] --> Manual
Manual --> Documented: SOP created
Documented --> Assisted: AI helps steps
Assisted --> Automated: end-to-end automation
Automated --> Monitored: alerts + dashboards
Monitored --> Improved: continuous iteration
Improved --> Monitored
4) Delivery timeline (gantt)
gantt
title 2–6 week delivery (typical)
dateFormat YYYY-MM-DD
section Week 1
Fit Call + scope :a1, 2026-02-03, 2d
Map workflow + baseline :a2, after a1, 3d
section Week 2
Build pilot automation :b1, after a2, 5d
section Week 3-6
Rollout + training :c1, after b1, 10d
Measure + iterate :c2, after c1, 10d
5) Loftrek distribution model (ER diagram)
erDiagram
SUPPLIER ||--o{ CATEGORY : supplies
CATEGORY ||--o{ PRODUCT : contains
CATEGORY ||--o{ STANDARD : requires
SUPPLIER {
string name
string country
}
CATEGORY {
string name
}
PRODUCT {
string sku
string type
}
STANDARD {
string code
}
6) Typical pilot effort split (pie)
pie title Pilot effort (rough split)
"Process mapping" : 25
"Automation build" : 45
"Testing & guardrails" : 20
"Training & handover" : 10
- Authorized distributor (EU) since March 2006
- 8 European suppliers, 6 product categories
- 2,500+ unique outdoor product references (playgrounds, urban furniture, outdoor fitness, skateparks, pumptracks, alpine coaster)
| Segment | Pain | Bundle | Deliverable (2–6 weeks) | Success metric |
|---|---|---|---|---|
| Municipalities | compliance + fast procurement | playground + fitness + furniture | concept + BOQ + standards pack + install plan | time-to-approval ↓, nonconformities = 0 |
| Schools / kindergartens | safety + zoning + durability | zoned playground + shade + seating | layout + safety zones + phased delivery | incidents = 0, maintenance minutes ↓ |
| Residential developers | sell faster + differentiation | signature micro‑park | visuals + costed options (good/better/best) | lead conversion ↑ |
| Resorts / leisure | experience + upsell | pumptrack + skate + “instagrammable” furniture | experience concept + traffic flow + signage | dwell time ↑ |
| SMEs (any sector) | manual ops + slow follow-up | AI adoption + workflow automation | 1–3 workflows automated + training | hours saved/week ↑ |