Launch focused AI workflows
Turn recurring operational work into guided AI workflows that can summarize, draft, compare, route, and assist while staying inside defined boundaries.
Private AI workflow infrastructure
Useful AI, built for accountable operations.
Mercury AI Systems helps organizations put AI to work in focused, governed workflows where data access, approvals, sources, and outcomes matter.
What Mercury is
Mercury is a private AI workflow platform for organizations that need more than a chat box. It is designed to connect approved data sources, workflow rules, model providers, and human review into a practical operating system for AI-assisted work.
Govern access and actions
Keep data connectors, model usage, approval behavior, and workflow permissions under administrative control instead of burying risk in prompts.
Review the evidence
Design workflows around source references, audit trails, and human checkpoints so important outputs can be inspected before they become decisions.
Mercury is for teams that want AI to help with real work without giving up control of sensitive information or operational judgment.
For operational teamsLocal government, professional services, clinics, utilities, schools, and growing companies often have valuable workflows that are too sensitive or too specific for generic AI tools.
For implementersMercury provides a place to package workflow templates, connect approved systems, evaluate model behavior, and make deployment choices visible.
For leadersThe goal is practical adoption: controlled rollout, useful automation, clear escalation paths, and AI behavior that can be governed as the organization learns.
Privacy and trust posture
Mercury is designed with privacy and segmentation principles. Formal compliance requirements should be scoped separately for each organization and use case.
- Data access should be explicit, approved, and limited to the workflow that needs it.
- Tenant and customer environments should be separated by architecture, not just by policy language.
- Human review, audit trails, and source references are part of the product model.
- Model and connector choices should be configurable so organizations can match risk, cost, and performance needs.
Talk with Mercury
We are building Mercury for organizations that need private, governed AI workflows over real operational data. For company, product, or pilot inquiries, reach out by email.
Mailing Address2027 Eagle Point Ct.
Birmingham, AL 35242
Birmingham, AL 35242