Giancarlo Passaglia
What I bring to the table
I am an executive who has lived through twenty-five years of Italian and European digital transformation both from the side of who decides and from the side of who executes. I have been IT director in luxury companies (Gucci, Patrizia Pepe), senior consultant with forty enterprise clients (SCC, NRG), founder/CEO of technology companies, CTO of blockchain advisory. Today I put this experience at the service of AI applied to business processes — with an ongoing consulting engagement with Kering and vertical products in production on real customers.
Translate, don't just execute
I can read a board's strategic vision and translate it into executable technical choices. I do not bring a pre-packaged solution: I bring a method to build the right solution for your company.
Cash and craft together
I have managed IT budgets up to €6 million per year and iterated a startup business plan through 15 versions of financial forecasting. I speak the CFO's language without losing technical quality.
Who is around my table
In the last ten years I have sat at tables with Kering, Ferragamo, Swatch Group, Stefano Ricci, Mariolucagiusti and with decision-makers of the Italian banking supply chain (Banca Popolare, MPS, Unicredit). I know their timing and their vocabulary.
I close projects
Three things distinguish my way of working: speed (307 tracked projects in 84 days in my personal lab), responsibility (I know how to formally close a company when needed, with signed term sheets and share transfers), operational honesty (a project is never "done at 100%" until a human confirms it).
Where I am really useful
When an organisation needs to choose where to invest in technology, govern partners and vendors, integrate AI into processes without losing control, or structure a complex operation with a CFO. I work especially well as a bridge between the board and the technical layer.
What I don't sell
I don't sell "AI solutions", I don't sell digital transformation as a closed contract, I don't sell gadgets. I sell qualified time and outcome responsibility, in defined-duration mandates with measurable results.
If you sit on a board and have 90 seconds: this page is here for you. If you have 10 minutes, scroll down to the Presentation. If you have 30 minutes and want to understand how I actually build things, read the TRANSIT Showcase and then documents 1-5. The reading is progressive — stop when you have enough.
What you are about to read
I am Giancarlo Passaglia, an executive with 25+ years' experience in information-systems leadership, digital transformation and — in recent years — the design and deployment of AI architectures for end-to-end business-process automation. I have held the roles of CIO, CTO, COO, Founder and CEO across luxury retail (Gucci, Patrizia Pepe), enterprise IT consulting (SCC, NRG), mobile SaaS (WEM, KRESCENT Smart Mobile Technologies), blockchain advisory (Krescent BA), and today I work as an R&D consultant in additive manufacturing and AI at ERGON Srl — including an AI consulting engagement with Kering to set up an internal R&D approach on multi-agent technologies.
This page is not my CV. The official one-and-a-half-page CV exists and I can share it as a Word file on request. This instead is a Deep Dive structured in five thematic documents plus a vertical case study. It is built to be read by different audiences — CFO, CIO/CTO, head-hunter, founder, board — each with its own entry point. I wrote it with a clear goal: to give you a full-spectrum view of my hard and soft skills, while leaving you the interpretive space to figure out where I can bring value to your organisation, without me selling you a pre-packaged role.
The page requires an account to access — simply because it includes details on clients, partnerships and projects that I prefer to share in a controlled way. The design is premium dark (with a light toggle in the top bar if you prefer to read on white background), coherent with the TRANSIT product I present here as a case study.
Reading guide — where to start if you are...
What you will find inside
- TRANSIT Showcase — the vertical AI-made product I built single-handedly, today in production on a real customer. Proof that my method is not theoretical.
- Doc 1 — Profile — six career seasons, summary numbers, common thread, and how I use AI as an end-to-end working tool.
- Doc 2 — Skills — nine competency pillars with enterprise and GEKO evidence, plus a cross matrix of skill × target audience.
- Doc 3 — AI Journey — the AI trajectory inside the GEKO ecosystem: 307 projects in 84 days, seven mature architecture areas (OpenClaw, multi-agent, RAG, DUCATO, TRANSIT, observability, frontend).
- Doc 4 — 3D Printing — applied research in additive manufacturing for independent B2C fashion brands (Bambu Lab + FLSUN + Shapr3D + loaded technical materials + chemical resistance).
- Doc 5 — Portfolio — the consulting and entrepreneurial path 2006-2019: enterprise sales engineering (MEF, MPS, Unicredit, Banca Popolare), cultural heritage (Uffizi, Vatican, Louvre, Teatro Nazionale Firenze €8.8M), KRESCENT Smart Mobile with luxury pipeline (Kering, Ferragamo, Swatch, Fratini) and blockchain advisory (ACF Fiorentina).
TRANSIT — When AI skills become a real product
TRANSIT is the industrial proof of the trajectory described in this Deep Dive. A full vertical product that speaks the drivers' language — Telegram bot with conversational NLU, receipt OCR, multi-municipality ZTL handling, live operations center, fleet intelligence — and is currently in daily use by a real customer (Alterini Bus). The public product page lives at transit.macvspc.cloud/product/.
Three things make it meaningful for whoever is evaluating me:
AI woven in, not sprinkled on
NLU on real intents, OCR on receipts, automatic activity classification, bridge ledger reconciliation — AI is connective tissue across the workflow, not an isolated feature.
Telegram-native, mobile-first
No dedicated app to install. Drivers work in chat. Multi-bot architecture with topic isolation and vertical channel separation (ORCH-T095) for multi-tenant scale.
Built-to-last, not POC
State machine with audit trail (ORCH-T040), concurrency safety with centralized locks (ORCH-T092), multi-service day-close (ORCH-T054), FORT KNOX workflow hardening (ORCH-T090).
Modern, governed stack
FastAPI + Supabase + OpenClaw gateway + OpenRouter LLM cascade. OTel telemetry via COMPASS (ORCH-T111). Multi-currency tips, ZTL alerts, composite-key dedup, dispatch loop.
Live Operations Center
Real-time dashboard (ORCH-T042 at 97%), automated reporting, expense tracking, active ZTL/permit monitoring, trip state and activity-legs view.
Multi-tenant ready
PYBOT-002 Dual Bot + Driver Authentication (75%), TRANSIT-PROD-001 productization roadmap, premium SEO design and behavioral analytics already integrated.
What it means for whoever is evaluating me
For a tech-startup CFO: TRANSIT shows that I can pick a real business domain, understand it from the operator side, design the AI architecture, write it, deploy it and govern it. The same path I would walk as a fractional CTO in your company, with the advantage of a concrete working case to show the board.
For an executive IT recruiter: TRANSIT is the most convincing piece of evidence of my hybrid profile. It shows a single executive holding product strategy, UX (real drivers), technical architecture, AI integration, production deployment and premium marketing (the product page itself is curated like a SaaS scale-up's).
For an enterprise R&D client: TRANSIT shows that the "vertical AI-made" pattern is replicable. The same approach applied to your sector (luxury, manufacturing, logistics, healthcare) produces a tailored system in time frames external agencies cannot sustain.
Document 1 — Deep Profile of the Professional Path
1. Professional identity
I am an executive IT leader with over twenty-five years' experience in information-systems leadership, digital transformation and end-to-end process automation. My professional signature is the ability to translate business objectives into executable technology strategies: budgets, operating models, architectural choices, governance and — when needed — code and infrastructure put in production by my own hand.
I come from a rigorous enterprise school (Gucci, Patrizia Pepe, SCC, NRG), I founded and exited technology companies (WEM, KRESCENT Smart Mobile Technologies, Krescent Blockchain Advisory), and today I operate as IT consultant at ERGON Srl with a threefold focus: organizational audit, additive-manufacturing R&D for independent B2C fashion brands developing proprietary models and accessories, and the design of AI architectures for business-process automation — including an AI consulting engagement with Kering aimed at setting up an internal R&D approach on multi-agent technologies and private-inference systems.
2. The six career seasons
Built sales-analysis systems for the flagship of Italian luxury. Coordinated IBM projects on AS/400 networks and PC infrastructure. Wireless automation of warehouse, packaging and shipping. Programs for orders, customer service and reporting on IBM WebSphere and SQL.
AS/400 upgrade and terminal-server back office. Managed the Euro conversion. Stood up the IT department from scratch and introduced a structured help desk. Retail software selection and worldwide store-opening procedures.
IT budgets up to €6M/year, portfolio of ~40 enterprise clients. Commercial development on mobile-IT services, full sales cycle. Business opportunities across EMEA and Far East. Operational planning, delivery with outsourced teams.
Six years building: mobile platforms, cross-platform, product development, fundraising.
International leap: cross-platform product, investor relations, financial analysis for fundraising.
Business models for blockchain consulting. Scalable turnkey services. Coordination of multidisciplinary teams (organizational consulting, investments, private banking, M&A). Vendor management, outsourcing, procurement, ERP integration.
Triple parallel track: 2022 Audit structural and organizational. 2023 3D R&D 3D printing for independent B2C fashion brands (proprietary models & accessories — not the Kering supply chain) extended to a multidisciplinary technical discipline (Bambu Lab + FLSUN, Shapr3D, loaded materials, chemical resistance). 2024-26 AI AI architectures for end-to-end automation + AI consulting engagement with Kering on multi-agent technologies and private-inference systems. Birth of GEKO ecosystem and TRANSIT product.
3. Seniority numbers
| Dimension | Measure |
|---|---|
| Years of IT experience | 25+ (1996 → 2026) |
| Leadership roles | CIO, CTO, COO, IT Manager, Founder & CEO, Co-Founder, Senior Consultant |
| Direct IT budget managed | EUR 6M annually |
| Enterprise client portfolio | ~40 simultaneous accounts |
| Geographies covered | Italy, Switzerland, EMEA, Far East |
| Sectors operated | Luxury & fashion (Gucci, Patrizia Pepe historical · Kering AI consulting 2024-26), Retail, IT Consulting, Mobile SaaS, Blockchain, Additive manufacturing R&D for B2C fashion brands, AI process automation |
| Certifications | IBM AS/400 (3 certs), Certified Blockchain Expert, ITIL v4 Foundation, Scrum Master Certified, Management & Negotiation |
| GEKO projects tracked (84 days) | 307 |
| GEKO logged events | 10,029 |
| Self-built production domains | 12 |
| AI bots in production | 3 |
| AI-made vertical products in real use | 1 (TRANSIT) |
4. The common thread
The common thread is one: shorten the distance between where decisions are made and where they are executed. Every career step has brought me closer to the synthesis between business and technology.
- At Gucci and Patrizia Pepe I learned enterprise discipline.
- At SCC and NRG I learned to sell and govern the P&L.
- At WEM and KRESCENT I learned how to found and how to answer those who put up capital.
- At Krescent Blockchain Advisory I learned to structure offerings on liquid markets and unstable regulatory regimes.
- At ERGON and in the GEKO ecosystem I'm proving that a single executive with a CIO's maturity and a senior engineer's autonomy can ship AI architectures and vertical products (TRANSIT) at an order of magnitude greater than five years ago.
For tech-startup CFOs and CEOs
A rare combination of governance, cost control and direct technical capability. I can read a balance sheet, build an operating model and at the same time design and deploy the startup's technology architecture without paying the surcharge of an external agency or a full-time senior CTO too early. I work especially well as fractional CTO or Head of Engineering in the pre-Series-A phase.
For executive IT head-hunters
Hard to put in a single label (CIO? CTO? Head of AI? Director of Transformation?) but precisely for that reason valuable for hybrid roles spanning strategy, governance, R&D, implementation and production.
5. How I use AI as an end-to-end working tool
Over the past two-to-three years AI has become for me an operational, daily tool — not a topic of study nor a "feature to add". It is the way I take an idea through its entire life cycle: initial brainstorming, problem analysis, architecture design, code implementation, production deployment, monitoring, maintenance.
I use language models (Claude, Gemini, GPT) and agent environments (OpenClaw, Claude Code, Codex CLI) as full-time collaborators, not chat gadgets. This way of working delivers execution speed that five years ago would have required a team of about ten people — but it carries a new risk: losing control of quality, governance and traceability as speed increases.
To manage this trade-off I have adopted three principles that I apply to every project where I use AI as a working tool. They are simple to state and demanding to follow. They hold whether I work alone on the GEKO ecosystem, or I advise a client like Kering on their internal R&D approach, or — one day — I hand the system off to a team that will maintain it after me.
1 · Single source of truth, multi-layered
When an AI agent writes constantly, the problem isn't generating content: it is knowing who owns the data at every moment. On GEKO I built a formal hierarchy that tells the agent explicitly where to look for what: Supabase is the dynamic source of truth (project state, sessions, activity), a frozen operational skill covers structural references, the wiki covers procedures, Apple Notes is read-only historical archive. Nobody writes to data without declaring upfront which source produced the truth. Same principle on a client engagement: data ownership, separation of concerns across systems, explicit declaration of where an AI agent may and may not write.
2 · Anti-patterns documented, not removed
AI is fast, and occasionally fast in the wrong way. Every time I have made a mistake during an AI project — editing a production file without a local mirror, deploying without double versioning, writing data to the wrong database — I have written it down in a catalogue so it does not repeat. I maintain a public registry of 21 operational anti-patterns (AP-01 → AP-21) that the AI agent consults at the start of every session. It is a culture of lightweight post-mortems applied to daily work with AI. On a client engagement it becomes the foundation of a governance that learns from experience.
3 · Closure Protocol at 95% — the final human gate
When working with AI it is easy to fall into the "looks finished" trap: the model says it has implemented everything, tests pass, the agent confirms the deploy — and then production surfaces the edge case. That is why no project in my environments self-certifies at 100%. Between 95% and 100% there is always an explicit human gate: I read, I try, I confirm. It is the discipline that separates an AI pipeline that "looks finished" from one that is truly ready for the business — a crucial distinction for any CFO who wants to invest in technology that works, not technology that demonstrates.
These three principles are not theoretical. They are the working method that allowed me to ship to production, alone, 307 projects tracked in 84 days on the GEKO ecosystem — end-to-end accounting pipelines, multi-tenant systems for real drivers, containerized LLM gateways — and to propose the same pattern to a client like Kering to set up their internal AI R&D.
Document 2 — Most Relevant Skills Synthesis
The 9 pillars
1 · IT Strategy & Governance
Governance models for audit-driven enterprise contexts and for fast-moving startups. Formal operating policies with a documented anti-pattern registry.
Enterprise: Patrizia Pepe IT department setup (2001-2003); multi-vendor governance SCC/NRG across 40+ accounts; KRESCENT BA business models. GEKO: AP-01→AP-21 registry, Closure Protocol, taxonomic project-code convention applied to 307 projects.
2 · Budgeting, Cost Control, P&L
Enterprise: IT budget up to €6M/year (SCC, NRG); KRESCENT business plans; cost sustainability at Krescent BA. GEKO: GEKO-BCM-001 Billing & Cost Management; GOV-COST-002 multi-provider cascade LLM policy; GEKO-AUD-001 financial SuperVisor.
3 · Program & Project Management
Enterprise: Gucci Data Warehouse PM; SCC/NRG delivery 40+ projects; Scrum Master, ITIL v4. GEKO: TRIO-GATED methodology; COMPASS system milestones M1-M7; 307 projects tracked in 84 days.
4 · Digital Transformation & BPR
Enterprise: Gucci '90s wireless automation; Patrizia Pepe Euro conversion; ERGON organizational audits since 2022. GEKO/TRANSIT: multi-tenant system for Alterini bus drivers (bot, dispatch, state machine, audit, ZTL, day-close); DUCATO end-to-end accounting pipeline with OCR and AI classification.
5 · Vendor & Outsourcing Management
Enterprise: 40+ clients managed at SCC/NRG; KRESCENT BA procurement; Patrizia Pepe retail software selection. GEKO: multi-provider LLM cascade (Google, Anthropic, OpenAI); self-selected stack Hostinger + Mac Pro + Supabase + OpenRouter + Telegram.
6 · ERP/CRM Integration & Data Architecture
Enterprise: Gucci data warehouse on IBM WebSphere; Patrizia Pepe retail software; KRESCENT BA ERP integrations. GEKO: ARCH-001 Lean Context Architecture; ARCH-002 Workspace → Supabase migration; JANUS Journal Alignment; META-MULTISOURCE-001 multi-source reconciliation.
7 · Stakeholder & Change Management
Enterprise: KRESCENT BA multidisciplinary teams; WEM/KRESCENT EMEA/Far East business; Management & Negotiation course (2003). GEKO: TRANSIT-ONBOARD-001 onboarding of real drivers; multi-bot system with separated system prompts for operators vs admins.
8 · AI Architecture & Process Automation
Distinctive recent competency. 15+ documented production AI projects: ARCH-003 Super Agent Orchestrator-Worker, OCW-006/007/009/010/012 (OpenClaw stack), ARCH-DUCATO-001 skill-first decomposition, DUCATO-SCAN OCR, VPR-013 pgvector semantic memory, SENTINEL agent compliance, GEKO-EIM-001 Error Intelligence, COMPASS observability.
Enterprise evidence: ongoing AI consulting engagement with Kering (2024 →) to set up an internal R&D approach on multi-agent technologies and private-inference systems. Methodology + roadmap + pattern selection (orchestrator-worker, containerized LLM gateway, pgvector semantic memory, local LLM for privacy/latency) — the same library applied in GEKO, transferred to the client as a foundation for internalising AI competences.
9 · Additive Manufacturing / 3D Printing 🌟
Multidisciplinary applied R&D for independent B2C fashion brands developing proprietary models and accessories — market independent from luxury conglomerates, not the Kering supply chain (Kering is my counterpart in AI consulting, pillar 8). Convergence of parametric CAD, engineering material selection, mechanical/chemical polymer behaviour, process optimisation, functional analysis.
Printers: Bambu Lab (CoreXY, AMS multi-material), FLSUN (Delta, high accelerations). CAD: Shapr3D (DfAM, reverse engineering, optimisation). Materials: CF/GF/wood-loaded + technical polymers (PETG, ASA, ABS, Nylon, TPU). Chemical resistance: marine/industrial (solvents, salinity, hydrocarbons, UV).
Where I bring value — read by audience
The nine pillars above do not all weigh the same for every audience. Below — in plain prose, with no visual rankings — which skills become distinctive depending on who is reading this page.
For a tech-startup CFO
I bring you the rare combination of IT governance, cost control and hands-on technical capability: IT budgets up to €6M/year managed personally, an iPos business plan iterated through 15+ versions, structured partnerships and fundraising (Andrea Negri, Octave Bodel, term sheets, convertible notes). On the technical side, I can design and ship the startup's AI architecture without paying the surcharge of an external agency or a senior full-time CTO too early — I operate as a fractional CTO in the pre-Series A phase. The pillars that matter most to you are IT Strategy & Governance, Budgeting/Cost Control/P&L, Stakeholder & Change Management, AI Architecture & Process Automation.
For an executive IT recruiter or head-hunter
I bring you a profile hard to put under a single label — CIO? CTO? Head of AI? Director of Transformation? — and precisely for that reason valuable for hybrid roles. Verifiable enterprise delivery track record (40+ clients in EMEA and Far East, banking sales engineering for MPS/Unicredit/Banca Popolare/MEF), multi-vendor governance, and five years of founding and formally closing technology companies with documented term sheets and share transfers. The pillars most relevant to your matching work are Program & Project Management, Digital Transformation & BPR, ERP/CRM & Data Architecture, AI Architecture, Stakeholder & Change Management.
For an enterprise R&D client (manufacturing, luxury, automotive, marine)
I bring you the rare combination of someone who has worked both inside the Italian luxury district (Gucci, Patrizia Pepe historically; Kering as active AI consulting client today) and outside of it, on independent B2C fashion brands (proprietary models & accessories, applied additive manufacturing). I know the timing and the language of the luxury supply chain, and in parallel I do applied R&D on technical materials (CF, GF, technical polymers), chemical resistance and aggressive environments (marine, industrial). The pillars that matter for you are Digital Transformation & BPR, ERP/CRM & Data Architecture, AI Architecture, applied Additive Manufacturing.
Certifications and education
- Computer Science Degree
- IBM AS/400 — Systems Management · RPG Programming · Applications Development
- Certified Blockchain Expert (2018)
- ITIL v4 Foundation (2019)
- Scrum Master Certified — SMC (2020)
- Management & Negotiation Course (2003)
Languages
Italian (native) · English (fluent)
Document 3 — AI Competency Development on GEKO Projects
Prologue — Where I started from
My relationship with AI did not begin in the last two years. Its roots lie in the data-warehouse season at Gucci, when the promise of "sales analytics" was already a form of intelligence applied to data, though called business intelligence. What has changed in the last three years is the latency between idea and implementation: with large language models, multi-agent orchestrations and tooling ecosystems like OpenClaw and Claude Code/Codex CLI, the time required to bring an AI idea to production has collapsed by an order of magnitude.
The three GEKO seasons (in 84 days)
| Month 2026 | New projects | Completed | Narrative notes |
|---|---|---|---|
| February | 50 | 34 | Foundations: VPS, first bot, Supabase, first operating skills |
| March | 101 | 51 | Expansion: TRANSIT MVP, DUCATO, OpenClaw, VIPER online |
| April | 104 | 41 | Maturation: TRIO-GATED, multi-agent, ledger reconciliations |
| May (partial) | 52 | 29 | Consolidation: hardening, observability, multi-tenant, local RAG |
Totals: 307 projects, 155 completed (50.5%), 10,029 logged events, 1,138 distinct action types.
Mature AI architectures
OpenClaw — Containerized LLM Gateway
Technical heart of the ecosystem. Versions 2026.2.25 → 2026.4.27. Deployed on VPS and VIPER.
Multi-agent orchestration
Semantic memory and RAG
Accounting pipeline — DUCATO
Multi-tenant pipeline — TRANSIT (linked to case study above)
Agent observability and compliance
Operating methodologies
TRIO-GATED design
Three gates (design_first → smoke DUO → smoke TRIO). Honest intermediate states allowed, such as PASS_WITH_FINDINGS_PARTIAL_HC.
Closure Protocol at 95%
Between 95% and 100% there's always a human gate. Same discipline as an MVP validated by real users.
Anti-pattern registry AP-01 → AP-21
21 operational anti-patterns, each from a real documented error.
LLM cascade GOV-COST-002
Primary gemini-2.5-flash → fallback claude-haiku-4-5 → gpt-5-mini → heartbeat gemini-2.5-flash-lite. Sonnet banned from auto-routing after a cost incident.
Work Chunking for Claude Code
Long operations split into atomic chunks. Claude.ai designs, Claude Code executes.
Hierarchical sources of truth
Supabase → SKILL.md → Supabase wiki → CLAUDE.md → Apple Notes (FROZEN).
Document 4 — Technical Excursus on Additive Manufacturing
Technology ecosystem
Bambu Lab — CoreXY Cartesian architecture
The main workhorse for jobs requiring repeatable quality and tight production cycles. High-speed printing, automated calibration, AMS multi-material handling, semi-industrial small-batch production.
Areas of expertise: thermal-deformation control (warping, shrinkage), layer-to-layer adhesion as a function of temperature/speed/material/orientation, dynamic speed tuning on overhang/bridge/infill features, AMS handling and filament-humidity management.
FLSUN — Delta architecture
Laboratory for kinematic studies at high accelerations. Research on vibrational frame behaviour, dynamic effector behaviour, geometric compensation tower-to-tower, speed/precision envelope at the edge of the process window.
Shapr3D — Parametric CAD
Rapid idea → model → print workflow. Three levels of competency:
- Parametric modelling for DfAM: modular components, functional tolerances, snap-fits, orientation strategy.
- Reverse engineering: 3D rebuilds from direct measurements or dimensioned photos, adaptation of commercial mechanical parts, functional redesign.
- Functional optimisation: topological lightening, ribbing, CAD-level thermal-shrinkage compensation, load-aligned orientation.
Materials research
Chemical and environmental resistance
Printed components used in marine environments (salinity, persistent humidity, UV), industrial settings (solvents, detergents, hydrocarbons) and with aggressive agents.
| Aspect | Investigation |
|---|---|
| Delamination | Layer adhesion under cyclic load and humid environment |
| Moisture absorption | Long-term geometric stability and impact on mechanical properties |
| Embrittlement | Polymer ageing as a function of temperature and UV |
| UV degradation | Colour and crystalline structure stability |
| Chemical compatibility | Functional durability in contact with solvents/oils/detergents |
| Thermal stress | Hot/cold cycles, residual deformations |
Application domains explored
| Domain | Components produced |
|---|---|
| Automotive and motorcycle | Custom mounts, adapters, functional accessories |
| Marine | Brackets, saline-resistant elements, water management/filtration |
| Home automation & IT | Enclosures, custom racks, electronics & sensor mounts |
| Communication & design | Mockups, exhibition parts, custom visuals |
Vision — Distributed manufacturing
Document 5 — Historical Consulting Portfolio
Framing — year-clusters identified in the archive
| Cluster | Period | Vehicle | Main focus |
|---|---|---|---|
2006/Sysnet Solutions | 2006-2007 | Sysnet Solutions | IT sales + Check Point events |
2007 S O F T E C | 2007 | Softec | Geoscape project + Softec master |
2010 WEM | 2010-2014 | WEM Srl | Enterprise sales engineering via Telecom Italia channels |
2013 MUSEI 2.0 | 2013-2014 | Magis Firenze / Magis Tech | Museums & heritage + side CK jeans business |
2016 IRETAIL 2.0 | 2016-2018 | KRESCENT Smart Mobile Tech | iRetail/iPos startup, fundraising, partnerships |
2019/BITSTONE | 2019 | BITSTONE / Krescent BA | Blockchain advisory + ACF Fiorentina |
2019/EZE | 2019 | EZE (personal) | Final BP iPos 5.5.2 |
Cluster 2010 WEM — Enterprise sales engineering via Telecom channels
The WEM period worked mainly in the indirect market through Telecom Italia operators (TIM territorials NE, Tuscany, Lombardy) and the system integrator PRES srl. Heavy sales engineering with multi-version technical-commercial offers.
| End client | Channel | Type |
|---|---|---|
| Banca Popolare | Telecom NE | SRVS / mobile enterprise services |
| Benetton | Telecom NE | Offer draft |
| APSS Trento | Telecom NE | Device Management |
| MPS Group | Telecom Toscana | DVM + GOOD migration multi-version |
| Unicredit | Telecom Lombardia | Mobile offer draft |
| Italdesign | Rekordata | Order + MDM offer |
| Prada | Rekordata / MDM | MDM offer comparison |
| ARKA Sistemi | Direct | MDM IBM price lists (multi-release 2013) |
| MEF — Italian Ministry of Economy and Finance | PRES srl | SOBOX offer v1.0 → 1.2 (2013-2014) |
| WIND | Direct | Selling kit + Live and Remote Support price list |
Cluster 2013 MUSEI 2.0 — Cultural heritage and museums
The most identifying project of the period. Magis Firenze / Magis Tech (product Vidiusart) commercialised a proximity ticketing + merchandising experience for museums. Recurring BP pattern per museum: CFF36mServizi (36-month cash flow), Parametric, 1st/2nd/3rd Year, Sunto.
Cluster 2016 IRETAIL 2.0 — KRESCENT Smart Mobile Technologies
iPos Business Plan — the long iteration (15+ versions)
The iPos BP is the financial reference document of the period, evolved through 15+ versions in 2016 IRETAIL 2.0/# F I N A N C I A L/:
BP - iPos (v0) → iPositive NEW OverAll (POS.IT.ive rebrand) → v2.4 → 2.5 → 2.6 → 2.7 → 2.8 → 2.9 → v3.0 → 3.1 → 3.2 → v4.0 → 4.1 → 4.4 → 4.X → v5.5.2 ← final version (6 sheets: CFF36mServizi, Costs Forcasts, Forecast, OverAll, The Offer, Model)
Italian luxury client pipeline (Florentine fashion belt)
Cluster 2019 — Krescent Blockchain Advisory + iPos persistence
Quantitative summary
| Indicator | Value |
|---|---|
| iPos Business Plan versions produced | 15+ |
| Museum clients modelled in BPs | 11 |
| Teatro Nazionale Florence project value | €8,800,000 |
| Vatican ticketing ramp H1 2025 | €18,870 → €160,851/month |
| Luxury brands in KSMT pipeline | 7+ |
| NDAs signed at KSMT | 15+ |
| Partnerships with formal governance | 2 (Negri, Bodel) |
| End enterprise clients via WEM | 10+ |
- CV
GiancarloPassaglia_CV_IT-Executive_Arial_20260516.docx+_Moderno_20260516.docx(uploaded 16/05/2026) - Supabase project
xftakitovdjpmdenzuws, tablesgeko_projects(307 projects, 22/02/2026 → 16/05/2026) andgeko_activity_log(10,029 events, 1,138 distinct action types) - Internal operational skill
anthropic-skills:geko-opsv1.5 (15/03/2026), Sections 1-16 - Live TRANSIT product page:
transit.macvspc.cloud/product/— source of the design system applied to this page (amber/cyan/magenta palette, DM Sans font, dark glassmorphism) - 3D printing technical material provided directly by the author on 16/05/2026 (Bambu Lab, FLSUN, Shapr3D, CF/GF/wood-loaded materials, technical polymers, chemical resistance)
- Project-code distribution: BUG 76 · ORCH 37 · DUCATO 29 · VPR 14 · OCW 13 · ARCH 12 · GOV 11 · SEC 9 · GEKO 8 · LED 7 · TRANSIT 6 · DASH 5 · PYBOT 5 · BRN 4 · OPS 4 · INF 4 · others 30+
- Historical portfolio: scan of
/Volumes/BIG-DATA/P R O J E C T S/PAST/on 16/05/2026 — clusters:2006/Sysnet Solutions,2007 S O F T E C,2010 WEM,2013 MUSEI 2.0,2016 IRETAIL 2.0,2019/BITSTONE,2019/EZE