Adam Wisniewski

Real-world asset tokenization still faces major barriers: fragmented infrastructure, weak user trust, complex regulation, limited liquidity, and poor integration between blockchain technology and legally enforceable ownership.

At Invast, I am part of the core team building a platform designed to solve exactly these challenges. The goal is to make tokenized real estate investable, tradable, and financeable in a legally robust and user-friendly way, starting with Dubai real estate.

The platform combines its own crypto infrastructure, customer-facing applications, and an integrated wallet to enable users to list properties, buy fractional ownership via tokens, trade them, and use them as collateral for financing. A key differentiator is the connection between token ownership and legally recognized ownership records, including integration with the Dubai Land Department framework.

My role focuses on helping the venture make the right strategic decisions in a fast-moving and complex market. This includes technology adoption, AI opportunities, tokenomics, third-party collaborations, investor outreach, and partner relations.

Many SME leaders know AI will affect their business, but struggle to turn that awareness into a clear strategy, realistic priorities, and executable first steps. Typical challenges include unclear ROI, uncertainty around risks and compliance, lack of alignment between board, management, business units and IT, and too much focus on tools instead of business value.

Through AI4Leaders, I help companies solve this problem by turning AI from a vague strategic concern into a concrete management agenda. I work with boards and executive teams to define where AI matters for their business, what organizational and technical implications follow, and how to move from strategy to first implementation in a structured way.

This includes AI strategy, readiness assessment, prioritization of use cases, governance, data and infrastructure implications, and the planning of initial implementation journeys. Our work has included mid-sized manufacturing companies, legal services providers, fiduciary firms, and a Swiss bank.

The focus is always the same: reduce uncertainty, create executive alignment, and build a practical path toward AI adoption that is both ambitious and realistic.

In parallel, I also speak regularly at executive events and give guest lectures at Abu Dhabi University on the impact of AI on business strategy, value creation, corporate organization, and security.

Large companies often see AI potential early, but struggle to translate it into high-value use cases that work in practice, are accepted by users, and generate measurable productivity gains.

Digital Leadership, a consulting boutique with focus on Innovation Strategy, builds on its large collection of methods and frameworks giving structured guidance in all aspects of successful innovation initiatives. My main focus there was innovation through adoption of new technologies.

At Digital Leadership AG, I helped large Microsoft customers address exactly this challenge by identifying viable AI use cases, shaping implementation approaches, aligning business and technical stakeholders, and reducing delivery risks.

Examples include:

Hexagon

Engineers faced high programming effort, strong dependence on scarce expert knowledge, and inconsistent performance between experienced and less experienced users. We helped shape an AI-supported solution that captured expert CAM knowledge and made it usable at scale. The result was a major reduction in programming effort, average programming time reduced by almost 70%, and productivity gains of around 30% in the production unit. The pilot lasted 3 months and the solution was later rolled out to around 20,000 engineers.

Adecco

Customer advisors needed better support in identifying relevant employment opportunities for candidates, including options beyond their usual search patterns. We helped define and structure an AI solution that improved matching support while addressing key risks and user adoption considerations. My role included use case definition, risk identification, mitigation measures, and shaping collaboration with users.