01
Practitioner-centered
The system supports the person doing the work. It organizes reasoning, explains trade-offs, and keeps the practitioner in control.
AISA category language
Assist systems are not chatbots.
AISA develops domain-specific Assist brands that support skilled practitioners in complex work while preserving human authority, safety boundaries, truthfulness, and knowledge development.
The AISA role
AISA is the home for Assist-domain brands.
FaultAssist is the first. Additional Assist brands can be developed under the same operating model while remaining commercially separate through their own contracts, scopes, and customer relationships.
Relationship: AISA operates Assist-domain brands. AFLG holds the governing Canonical IP architecture that supports the underlying Assist methodology.
Brand architecture
AFLG → AISA → Assist-domain brands
AFLG holds the Canonical IP. AISA develops, sells, services, and supports Assist-domain products. FaultAssist is the first deployed domain brand for industrial diagnostic support.
AFLGCanonical IP
AISAAssist domain
FaultAssistfirst brand
What makes an Assist system different
Designed around people doing real work, not around a generic prompt box.
02
Domain-specific
Each Assist brand is built around a real domain, real terminology, real constraints, and real decisions.
03
Bounded by rules
The system can guide and suggest, but it operates within firm safety, authority, and truthfulness boundaries.
04
Calibrated to skill level
Newer practitioners may need explanation and step-by-step guidance. Experienced practitioners may need a peer-level diagnostic conversation.
05
Built to teach
The goal is not only to get through the current event. The goal is to help understanding accumulate.
06
Accountable to reality
Assist systems should refuse to invent facts, codes, or unsupported answers when the domain does not support them.
Design principles
The same principles can carry across future Assist brands.
Human authority
The system never becomes the decision-maker. It supports the accountable person.
Bounded autonomy
The system operates inside clear rules, restrictions, and escalation boundaries.
Capability development
Each interaction should leave the practitioner better prepared for the next one.
Safety and truth
The system must protect users from unsafe steps and unsupported conclusions.
× Generic AI assistant
Broad prompt interface, uncertain boundaries, weak domain grounding, no calibration to practitioner capability, and little accountability to field conditions.
✓ AISA Assist system
Domain-specific, governed, practitioner-centered, safety-aware, truthfulness-controlled, and designed to improve real work over time.
FaultAssistFirst Assist-domain brand
First deployment
FaultAssist proves the model in industrial diagnostics.
FaultAssist applies the Assist-system model to manufacturing and OEM troubleshooting, where the cost of bad guidance can be downtime, damaged equipment, or unsafe work.
Technician calibration
Meets apprentices and senior technicians differently without reducing value.
Safety boundaries
Stops unsafe actions and escalates when a step requires proper authority.
Truthfulness floor
Refuses to invent equipment fault codes or unsupported answers.
Knowledge transfer
Turns troubleshooting sessions into technician development opportunities.