Shape business cases, roadmap priorities, and reusable capability bets.
Enterprise AI Product & Portfolio Leader
I turn complex enterprise workflows into trusted AI products.
I shape AI portfolio strategy, turn ambiguous workflows into governed products, and align cross-functional teams from MVP through evaluation toward enterprise handoff.
Senior AI product leadership
AI product strategy, made executable.
I shape portfolio choices, align cross-functional teams, and build the evaluation and governance path from MVP toward enterprise handoff.
Advance platforms from MVP through evaluation toward enterprise handoff.
Align business, product, engineering, data, and AI around evidence and accountability.
~€4M
Enterprise AI portfolio scope
3 AI platforms
Advanced from 0-to-1 MVP toward enterprise handoff
4 PMs + 20 engineers
Current AI portfolio matrix leadership
80K+ users
Shipped B2B platform across 3,000+ partner organizations
Selected product systems
Three AI product systems, built for accountable action.
Each flagship exposes the full product logic: the workflow being changed, where AI assists, where humans decide, and what evidence is required to advance from MVP into enterprise validation.Procurement AI Hub
A category lead starts with a business decision, not an agent name. The Hub carries enterprise context through a reviewable 1-to-N specialist plan and returns one source-backed decision packet the owner can approve, revise, or escalate. I defined the orchestration model, capability contracts, shared controls, evaluation gates, and enterprise handoff path.
What I shaped
The operating model behind the interface.
- 01Orchestration model
One governed entry point designed for an expanding specialist portfolio
- 02Control plane
Reviewable 1-to-N plans, capability contracts, human authorization, and visible recovery
- 03Productization
Coverage, evidence, evaluation, ownership, and enterprise handoff designed as one system
Tier‑N Geospatial Risk Navigator
An event-driven geospatial intelligence product that traces a global disruption through potential hidden-tier and material exposure, then routes qualified evidence to an accountable owner. I converted Phase 1 feasibility into a UAT-ready product system with explicit usefulness, evidence-quality, human-review, and scale gates.
One investigation · event / exposure / actionTurn a disruption into an owned response.
MVP / UAT-ready
What I shaped
The product decisions behind the risk workflow.
- 01Decision model
Event-to-exposure model spanning location, hidden tiers, and material relevance
- 02Evidence quality
Evidence states separating sourced facts, inference, and coverage gaps
- 03Accountability
Human validation and an owned response before escalation
Negotiation Pro: Zero‑to‑Close
An AI-native workspace that carries a negotiation from commercial evidence and strategy through rehearsal, human-controlled live support, agreement capture, and reusable learning. I expanded a working practice prototype into a UAT-ready Zero-to-Close product system, defining the quality, authority, audit, and human-approval gates required before live support.
One governed case · before / live / afterFrom evidence to agreement.
Human decidesWhat I shaped
The operating choices behind Zero-to-Close.
- 01Workflow
One persistent case from commercial evidence through agreement
- 02Authority
Human-controlled live support with explicit authority gates
- 03Learning
Close record and reusable learning without autonomous commitment
Product leadership system
Move the decision forward, not just the demo.
My product layer sits between AI capability and business adoption. I make uncertainty explicit, create decision structure, and protect the difference between technical promise and business proof.- 01
Frame
Define the workflow, user decision, value hypothesis, and non-goals.
- 02
Prioritize
Balance value, capacity, risk, reuse, ownership, and timing.
- 03
Evaluate
Set quality bars, evidence, failure modes, human review, and UAT.
- 04
Productize
Design adoption, governance, ownership, handoff, and scale.
Earlier ventures and builds
Range, without losing the narrative.
Supporting work shows zero-to-one startup execution, scaled enterprise platforms, vertical SaaS thinking, and AI-assisted prototyping.Startup product · earlier venture
TruWorld
A mobile product combining real-world exploration, local discovery, social mechanics, and partner-based rewards.- 45K+ community
- 30+ retail partnerships
- ~$500K completed strategic investment
Enterprise platform · shipped
Vendor Operations Platform
A unified B2B workflow connecting logistics reporting, partner support, visibility, and operational decisions.- 80K+ users
- 3,000+ partner organizations
- 80% less reporting effort
AI-assisted build · prototype
MountFlow
A working vertical SaaS prototype translating a specialist physical workflow into a clear digital operating system.- Multi-page SaaS prototype
- Workflow and domain mapping
- AI-assisted product development
Evidence before claims
A portfolio should make scrutiny easier.
Every case separates confirmed project evidence, product evaluation, simulated product direction, and target outcomes. Confidential enterprise work is anonymized; all product visuals use public-safe or synthetic data.
Review the full body of workBuilt where it matters