Owner knowledge
Calls, docs, preferences, client rules, exceptions, SOP fragments.
supervised_ai_ops / owner_controlled
AI operations that feel like infrastructure.
Otto turns the knowledge in your head into a supervised command center: workflows, context, follow-ups, operating boards, and AI routines that keep work moving without handing the business to a black box.
01Capture the owner brain
02Map repeatable work
03Queue supervised execution
Active operating loop
human approved
Client onboarding pipeline
ContextOwner rules indexed
WorkflowNext actions queued
ReviewAwaiting approval
$ otto inspect --risk client-onboarding
✓ source docs linked
✓ decision gates present
✓ no external send without approval
→ recommended_next_step: prepare welcome email + task boardFollow-ups12
SOP gaps4
Blocked items2
System design
Not a chatbot. A controlled operating layer.
Modern AI products that feel credible show the system, not just the promise. Otto is presented as a command center: visible queues, approval gates, context sources, status signals, and next actions.
Business context graph
Organized memory, workflows, boards, prompts, and decision rules.
Supervised execution
Prepared drafts, next steps, follow-ups, task queues, review checkpoints.
Operating loop
Every workflow gets a visible control surface.
capture()
Extract what only the owner knows
We pull the real rules out of conversations, docs, repeated questions, and daily decisions.
structure()
Turn loose knowledge into operations
Workflows become boards, checklists, prompts, handoff rules, and source-linked context.
supervise()
Automate without losing control
Otto can prepare work and queue recommendations, but important actions stay behind review gates.
Designed forowner-led businesses
Primary outcomeless operational drag
Autonomy modelsupervised by default
Packaging
Start with the smallest useful operating system.
Otto can begin as a focused setup session, become a practical implementation, then mature into ongoing operations support.
Setup Session
Identify bottlenecks, capture initial context, and map one high-value workflow.
Autopilot Implementation
Build the context hub, operating board, workflow prompts, and approval routines.
Operations Support
Maintain and expand the system as the business adds clients, team members, and workflows.
otto_business_autopilot
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