Private AI Agent
Best when the immediate need is personal workspace, memory, and approval-aware help for one operator.
ALCUB3 / controlled AI execution
Controlled AI work for work that keeps context shows receipts and waits for approval
Start with one worker. Review the receipts. Approve the next move.
ALCUB3 turns business workflows into AI agents by starting with one recurring loop: diagnose the work, scope a pilot, and keep human approval on the final move.
Workflow diagnostic
Approval stays with you
Approval stays with you
You
Prepare the follow-up, pull the context, and bring me the final send.
Selected path
AI Worker Pilot
One repeating team workflow becomes a managed pilot before automation expands.
01
Define the loop
Owner, cadence, systems, and success metric.
02
Attach the proof
Sources, claim boundaries, and receipt requirements.
03
Hold approval
Drafts and actions wait for the human final check.
Choose the next step
Use the diagnostic when the workflow is not obvious.
The diagnostic turns a vague AI request into a concrete path: self-serve agent, managed AI Worker Pilot, qualified trust-boundary review, or no-action-yet.
- 01What repeats often enough to deserve a worker?
- 02Where are the systems, sources, and approval boundaries?
- 03What proof would justify a pilot or a sales conversation?
AI Worker Pilot
Best when one team workflow repeats, needs evidence, and should be scoped before automation expands.
Trust-boundary planning
Best when deployment, compliance, customer data, or trust boundaries need sales-led review first.
Where to start
Three surfaces, one operating ladder.
AI Workers is the commercial wedge for beta. AI Agent and trust-boundary planning stay as supporting paths when the diagnostic shows they are the better fit.
AI AGENT
Start with one private AI Agent.
Your own private AI Agent with memory, tools, and a private workspace. Learn the operating model, then expand only when you need more power.
- One agent, one workspace, one clear operating starting point.
- Memory, tools, and approvals live inside the same private system.
- Start focused, then grow into more roles and stronger controls only when needed.
AI WORKERS
Turn one repeating workflow into an AI Worker Pilot.
Scope one revenue, operations, research, or executive loop before you commit to a broader AI rollout.
- Workflow diagnosis, success metric, and source boundaries.
- Receipts and approval gates before any material action.
- Commercial follow-up after the first useful proof path is clear.
TRUST PLANNING
Hold higher-trust needs for review.
Use this path when data, policy, or deployment boundaries need a sales-led review before any technical commitment.
- Boundary review before deployment claims.
- Policy and data questions documented for approval.
- Planning only until proof and contract gates clear.
Next step
Choose the first workflow.
Begin with a private AI Agent, move into coordinated AI Workers, and bring higher-trust planning forward only when approvals, auditability, and deployment boundaries need review.