the Mercury method
How work gets handed to an agent, safely
Every Mercury deployment follows the same path: audit, design, deployment, governance. And every agent we ship runs inside AAOS, our orchestration system built for production work with human oversight. This page is the whole model, no black boxes.
Four phases.
A gate in weeks.
Phase 1
AI Opportunity Audit
We map how work actually moves through your business, then score every candidate workflow on agent fit, effort, and return. You get a ranked plan: which workflows, which tier, in what order. Fixed price, yours to keep either way. You approve: the plan, the first target, the success metric.
Phase 2
System Design
We architect the agent system: the tools it touches, the data it reads, which decisions run autonomously and which route to a person. Gate placement is designed with you and signed off before anything is built.You approve: the plan, the first target, the success metric.
Phase 3
Deployment
Live inside your existing stack. Your cloud if you want it, your model agreements if you have them. Agents run in shadow mode first and earn autonomy gate by gate as the outputs prove out.You approve: go-live, and every gate that opens.
Phase 4
Governance and Improvement
After launch we tighten decision logic, extend into adjacent workflows, and hand your team the controls. Standing operating review, live action log, and gates your people run without us.You approve: every expansion of scope. Always.
The governance layer
AAOS: how agents
earn trust with real work
Most agent deployments fail the same way: no structure between the model and the business. AAOS is that structure. Every unit of agent work moves through the eight-state machine, and the human approval gate cannot be automated, bypassed, or overridden.
The full platform, the memory architecture, and the audit trail live on the AAOS page.
Explore the platform
Created
Planning
Ready
Dispatched
Approval: human required
awaiting sign-off…
In Progress
Review
QA
Done
Security posture, in plain language
Agents operate inside your existing system permissions. No shadow access, no super-admin.
Deployments can run on your cloud infrastructure.
If you have agreements with model providers, we use your models under your terms.
Data access is enumerated in the design document and never expanded without sign-off.
All agent actions are logged to systems you control.
What we won't deploy
Undocumented judgment calls
If a decision can't be written down, an agent shouldn't make it. We'll route it to a human or tell you the process needs definition first.
Workflows without an owner
Every deployment needs a named person on your side who reviews gates and owns the outcome.
Anything the log can't cover
If we can't make an action auditable, we don't automate it.
The fastest way to lose trust in agents is to give them work they shouldn't have. Scoping discipline is the product.
Questions,
answered.
Gated actions get caught at review. Autonomous actions are logged and reversible by design wherever the underlying system allows it. Every miss becomes a logic update, and the log shows the fix.