Managed AI employees
We define, build, operate, monitor, and improve an AI employee around one specific business role.
Choose a role ↗AI employees · team enablement · secure operations
Build AI capability without losing control.
Yellow Lotus designs managed AI employees, teaches teams how to use AI safely, and builds the operating controls that keep the work secure, observable, and ready to change.
People remain responsible. AI prepares work. Your organization keeps judgment, relationships, commitments, and final approval.
ROLE OPERATING SYSTEM / 01 monitored
Example managed employee
Operations
employee
A defined role that turns scattered updates into a useful owner brief, flags missing information, and brings exceptions to a human before they become surprises.
InputsTasks · documents · updates
PreparesBrief · flags · next actions
CheckpointHuman review
EvidenceLogged and measurable
The work moves through a role.Inputs become prepared outputs, then return to the person who owns the decision.
One company. Three ways to add AI capability.
Buy a roleTrain a teamSecure the operation
What we do
Choose the kind of capability you need.
Some organizations want a managed role. Some want their own people trained. Some need the security and infrastructure layer first. We meet the environment you actually have.
AI enablement and training
We teach your employees how to use AI inside the tools, permissions, policies, and restrictions they already work with.
See the training path ↗Secure AI operations
We map data, access, monitoring, updates, and recovery so AI remains maintainable and defensible as conditions change.
See the control model ↗Managed AI employees
A job description for the work between people.
Every role has named inputs, outputs, permissions, checkpoints, and measures. It is not an undefined chatbot dropped into your business.
AI enablement
Teach your team to use AI in the work they already do.
We do not bring a generic lecture and leave. We learn the environment, identify safe use cases, practice with real work, and help establish habits your team can keep using after the class.
Ask about team training01Understand the environment
Tools, data, permissions, policies, and restrictions.
02Practice with real work
Useful prompts, reviews, drafts, summaries, and decisions.
03Keep the habit safe
Documented boundaries, escalation, monitoring, and update sessions.
Security and infrastructure
Use AI in a way your organization can defend.
We map the work to your environment instead of asking you to fit the environment to a generic tool. The control model starts with the CIA triad and expands to the requirements that actually apply.
Confidentiality
Who can see the data, where it goes, what is retained, and what should never enter a model.
Integrity
How outputs are checked, approved, corrected, documented, and protected from silent drift.
Availability
How the system is monitored, updated, recovered, and kept useful as tools and requirements change.
Control-aware planning
FISMA, SOC 2, FedRAMP, and other frameworks can inform the design when they apply. Yellow Lotus does not claim certification or replace a qualified auditor, assessor, legal advisor, or security team.
The operating path
Useful before it gets complicated.
We make the first role small enough to understand, test, and improve. You see the work before you decide whether to expand it.
- 01Map the work
Trigger, inputs, output, owner, and risk boundary.
- 02Build or teach
Connect approved sources or practice the workflow with your team.
- 03Review the result
People check the prepared work and decide what changes.
- 04Monitor and improve
Document updates, measure usefulness, and keep the system ready.
Public proof
See what has actually been built.
Our public GitHub case-study repository shows selected systems, security work, infrastructure experiments, and implementation evidence. Private client systems remain private.
View public case studies ↗PUBLIC REPOSITORYYellow Lotus
ConsultingBuild notes · case studies · implementation evidenceOpen GitHub repository ↗
ConsultingBuild notes · case studies · implementation evidenceOpen GitHub repository ↗
A sensible first step
Start with the question you actually have.
Choose a managed role, request team training, or bring us the security and infrastructure problem that needs a clearer operating plan.
Bring us the environment