Loading...
Loading...
Me@AI isn't just a product—it's how we accelerate everything at vsumup. From research to documentation to strategic planning, AI agents are embedded in our daily workflows.
We built Me@AI on a simple principle: AI should amplify human capabilities, not replace human judgment. Every workflow is designed as a collaboration—AI handles research and synthesis, humans make decisions.
Every AI agent in Me@AI is a copilot, not an autopilot. They surface information, suggest actions, and handle repetitive work—but strategic decisions remain human.
Strategic discussions automatically parsed into structured milestones and tasks in Initiative Manager.
"Let's add FHIR support to VitalEdge" becomes an epic with 15 auto-generated tasks.
Agentic RAG workflows search across documentation, codebases, and the web to answer technical questions.
"What's the CMS billing requirement for RTM?" returns verified CMS documentation in seconds.
AI agents analyze our codebase to explain architecture, find dependencies, and suggest improvements.
"How does the billing service calculate eligibility?" provides code walkthrough with line references.
Technical documentation auto-generated from code comments, API specs, and architectural decisions.
API documentation for 47 endpoints generated from OpenAPI spec + code analysis.
Every action in Me@AI emits HMAC-signed webhook events, enabling real-time integration with Initiative Manager and external systems.
Parsed conversations become initiatives. Research results attach to tasks. Bidirectional sync keeps everything connected.
AI agents research CMS regulations, analyze clinical workflows, and generate documentation for healthcare features.
Code analysis, PR summaries, documentation generation—all powered by AI agents that understand our codebase.
Prompt engineering is software engineering. Treat prompts with the same rigor as code—version control, testing, iteration.
Agentic workflows need guardrails. Autonomy is powerful, but bounded autonomy prevents runaway costs and errors.
RAG quality depends on chunking strategy. How you split and index content matters more than the model you use.
Webhooks are essential for real-world integration. AI in isolation is a demo; AI with webhooks is a product.
Humans and AI are better together. The best outcomes come from AI doing research and synthesis, humans making decisions.
See how Me@AI can accelerate your team's productivity.