DIGITAL WORKERS FOR REAL RESULTS
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We design and build practical AI software for teams that need less manual work, better client service, and measurable outcomes they can actually use.








ONE ARCHITECTURE
Multiple Applications
Self-Run Departments
Because you need to run your business more efficiently than your competitors do
Some features are live; others are in active development and beta. All external actions are approval-gated — nothing sends, publishes, or deploys without you. Time savings are modeled projections, not measured outcomes.
Cut Costs Model for RIA
Automates compliance review. Advisors serve 2.7x more clients without hiring.
Modeled projection. Baseline: CoreData Research 2024 (99 clients/advisor). Generic AI ceiling: McKinsey 20-30% time savings. Platform trajectory: illustrative.
Healthcare AI Research
Privacy-gated multi-agent architecture for PHI containment, clinical reasoning, and compliance.
Research white paper. Healthcare use cases are theoretical and pre-commercial. No clinical validation, medical advice, or regulatory approval is represented.
LOOK UNDER THE HOOD
PRIVACY-GATED AI
See how Federated Unified Worker Network helps teams save time and money today: faster support, fewer manual checks, safer sensitive-work handling, and clearer decisions without exposing private data.
Bring AI into the workflows that actually run your business.
PRODUCTS WE DEVELOPED
Built for productivity, revenue, and results
OUR TEAM

Alona Sudorzhenko, MBA
Founder & CEO, FUWN
Founder, inventor, and operator with over 15 years of experience across real estate, finance, product strategy, and AI systems. Ms. Sudorzhenko leads the company vision and turns business problems into practical AI products.

Vasyl Chaban, MSc
Full Stack & Mobile Developer
Full Stack & Mobile Developer with 5+ years of experience building AI, SaaS, and mobile products including Solwees.ai, Snellie, and Tourific. Mr. Chaban develops scalable platforms from concept to launch, helping businesses turn ideas into reliable, user-focused digital products.

Wayne Hamilton, MSN
Healthcare Research Advisory Board
Healthcare professional with 40+ years of experience in clinical practice, nursing education, and patient care. Mr. Hamilton advises on healthcare and medical research initiatives, helping align AI-driven solutions with practical clinical and patient-centered needs.

Yulia Vasetska, MBA
Tech Strategy Advisory Board
Mrs. Vasetska brings 16 years of experience in digital strategy, operating model design, and technology transformation, including leadership roles at Deloitte and Cognizant, helping global organizations turn complex change into practical execution.
WHERE WE'VE BEEN
Our Journey
Foundational research
Began foundational research into decentralized AI systems for regulated, high-stakes environments
Have a workflow worth turning into the next milestone? Book a short call and we will map the practical AI opportunity.
Schedule a callCONTACT
Ready to buildDIGITAL WORKERSthat deliver
Tell us where your team is losing time, repeating manual work, or missing client opportunities. We will help you map a practical AI system around the outcome you need.
Start with the workflow
Share the process you want to improve and what a successful result would look like. We will come back with a practical next step.
Frequently Asked Questions
What clients usually ask before building practical AI systems with us
Digital workers are practical AI systems built around a real workflow. They can help collect information, draft outputs, organize data, answer client questions, or move work between tools so your team spends less time on repeat tasks.
We focus on workflows where AI can create measurable value: client intake, research, document handling, internal knowledge tools, follow-up processes, reporting, and customer-facing AI experiences.
We work best with founders, operators, service businesses, financial teams, and client-facing teams that need real outcomes from AI, not experiments that never reach daily use.
Both. Sometimes the right answer is a custom AI product. Other times it is a lighter workflow using existing tools, APIs, automations, and a better interface. We choose the path that gets useful results fastest.
We design around the data risk of the workflow. That can include limiting what is sent to models, using access controls, logging, human review, and choosing safer architecture when compliance or client trust matters.
We talk through the workflow, the bottleneck, the people involved, the systems you already use, and what a successful result would look like. From there, we can suggest a practical next step.
Want to talk through a workflow?
Book a short call and we can look at where AI could save time, improve client work, or turn a manual process into a digital worker.
Book a Results Call