David Ewing
Founder, DataShyre
AI Systems Architect
Trusted Automation for Modern Companies
David Ewing
I founded DataShyre to help companies turn AI from scattered experimentation into practical systems that improve how work actually gets done.
My focus is on designing AI agent workflows, automation systems, and trust-oriented operating models that help teams reduce manual work, improve execution, and build more reliable internal processes.
I work at the intersection of automation, workflow design, and digital trust, helping companies implement systems that are useful in the real world, not just impressive in a pitch.
What I Focus On
I help companies identify high-friction workflows and redesign them using practical AI systems, automation, and better operating structure.
What Companies Hire Me For
Companies typically bring me in when their teams are overloaded with manual work and AI adoption has stalled at the experimentation stage. Reporting, content, and internal execution often lack consistency, and there’s a clear need for practical workflow automation rather than more tool sprawl. At the same time, they’re looking for systems that are thoughtfully designed with governance, privacy, and trust at the core.
Current Work at DataShyre
At DataShyre, I’m building two core offers:
AI Agent Systems
Practical AI workflow design and implementation for companies that want more output, less manual work, and better operational consistency.
Consent and Preference Management
A trust-forward platform for companies that need modern privacy operations without the cost and complexity of heavyweight enterprise suites.
Core Areas of Work
- AI workflow architecture
- Process automation and optimization
- Research and reporting systems
- Content and execution support
- Research and reporting systems
Let’s talk about your workflow bottlenecks
Build systems your team can actually use
DataShyre helps companies move faster with practical AI workflows and trust-oriented operational design.