AI adoption strategy
Use-case selection, build-buy-stop choices, data needs, ownership, adoption path and executive roadmap.
Independent AI adoption advisor
I help leaders turn AI pressure into clear roadmaps, ownership decisions and work people can adopt.
Vienna-based advisor for DACH enterprises, boards, founders, accelerators and public-sector teams. My role is the bridge between business requirements and what AI or software can realistically deliver.
Advisory
I work in the messy middle between ambition and implementation: use cases, data, buying logic, ownership and adoption.
Use-case selection, build-buy-stop choices, data needs, ownership, adoption path and executive roadmap.
Turning business requirements into realistic software and AI decisions, including what not to build.
Business model, pricing, GTM story, investor readiness and route to market for technical founders.
Practical AI and emerging-tech judgment for boards, agencies, industry programs and policy-facing work.
Founder evaluation, pitch pressure, program design and conference formats where technology needs commercial clarity.
Offers
Fixed-price calls for fast senior input. Workshops and mandates stay compact, priced openly and scheduled only when the mandate is clear.
Independent advisory runs outside institutional commitments and depends on availability, mandate fit and conflict clearance. Compact formats are preferred; full-day work only by arrangement.
90 minutes on AI roadmap, use cases, ownership, build-buy-stop choices and the next implementation decision.
90 minutes on business model, GTM, pricing, market story, investor readiness and route to market.
Half-day, evening or split-session format for leadership teams that need a practical AI adoption path.
Limited monthly access for founders, executives or program leads who need senior sparring without a large consulting setup.
Scoped advisory for boards, agencies and political or industry initiatives working on AI and emerging-tech adoption.
Conference talks, pitch jury work, panels and investor-facing formats around AI, startups, GTM and technology adoption.
Fit
For leaders who need clarity before AI work turns into theater.
Outcomes
The useful output is not a slide deck. It is a clearer path, a tighter story and fewer expensive distractions.
Prioritized use cases, owners, data needs, risks and the next implementation path.
A practical decision on what belongs inside the company, outside the company or nowhere at all.
Sharper customer, pricing, market and funding logic for technical founders and accelerator teams.
Clear language for senior stakeholders who need to understand what the technology actually changes.
Selected proof
A short selection of enterprise, accelerator, venture, media and technology work.
Titan Network
Work pattern
The useful thread is consistent: translate technical potential into adoption, revenue, funding and operating decisions.
AI-Rad Companion and AI-Pathway Companion work at Siemens Healthineers. Consultant for AI Acceleration & Growth at AI Factory Austria AI:AT, focused on Austrian industry enterprises.
UNDP SDG Accelerator, Cointelegraph Accelerator and 80+ AI and technology startups across pitch, GTM, pricing, investor readiness and partner strategy.
USD 4M+ in partnership revenue during Cointelegraph growth work, plus enterprise sales motion work for infrastructure and web-data products.
Advisory, investment and fundraising work across AI, SaaS, fintech, infrastructure and Web3, including USD 25M+ raised by supported Web3 startups.
Earlier operating experience across software, publishing, strategic marketing and field-sales SaaS work, including FieldProFlow.
Speaking
I speak, judge and advise where technical teams have to prove who adopts the product, who pays and why now.
References
Selected excerpts from LinkedIn recommendations. The source, context and relationship stay visible on each card.
"His mastery of strategic conceptualization and actionable execution is second to none, parsing the signal from the noise."
Anthony FrancisCointelegraph context, LinkedIn recommendation, Nov 2025
"He has a rare ability to look at a project and quickly get to the core business risks and opportunities."
Chris ScibiorekCointelegraph Accelerator, LinkedIn recommendation, Nov 2025
"He gets the space, asks the right questions, and brings clarity when it's needed most."
Pawel LaskarzewskiNomad Fulcrum, LinkedIn recommendation, Jul 2025
"Paul brings a rare blend of strategic clarity and hands-on leadership in marketing, positioning, and reputation-building."
Anna ShakolaADI Foundation, LinkedIn recommendation, Jun 2025
"His remarkable ability to tackle complex challenges with innovative solutions makes him an invaluable asset to any team."
Oliver SchmittVenture value building, LinkedIn recommendation, Jun 2025
"Paul knows how to engage people in a conversation and challenge them to come up with ideas and opinions."
Roland LindnerDeloitte Digital Austria, direct manager, LinkedIn recommendation, Sep 2020
"Focused on outcomes that are highly creative while also being on point, not wasting efforts or budget."
Petra GruenSiemens Healthineers, LinkedIn recommendation, Jan 2019
"Thanks to him the global launch of the AI-Rad Companion was an outstanding success."
Ivo DriesserSiemens Healthineers, LinkedIn recommendation, Dec 2018
"Endlessly tenacious, unrivaled in curiosity, and exceptionally in tune with what others need and want."
Liz KraftSiemens Healthineers, LinkedIn recommendation, Oct 2017
Principles
Start with the business problem. Then decide whether AI belongs in the solution.
My role is not to replace the technical team. It is to make sure the right problem, decision logic, stakeholder alignment and adoption path are in place.
I am technically fluent enough to pressure-test AI and software work, including building FieldProFlow, a live field-sales SaaS platform.
No owner, no value.
AI adoption needs operating logic, not only use cases.
Build, buy or stop has to be explicit.
Complex technology still has to fit into a buying process.
Send the context: what decision is on the table, who owns it, what happens if it stalls and which format fits.
LinkedIn proof