AI operating layer for industry teams
NAMA Industry AI combines industry models, expert review, and controlled workflow automation so teams can evaluate, scope, and deliver applied AI services without losing human accountability.
Industry Models
Demand, pricing, formulation, supplier, compliance, and customer intelligence models tuned to the operating context.
Expert Review
Human approval gates before sensitive recommendations, project delivery, regulatory claims, or supplier-facing actions.
System Connection
Can connect to a company-owned system and be tuned specifically to that business, site, region, and workflow.
Operational Delivery
Moves from intake to scoping, review, expert assignment, negotiation, deliverables, and managed follow-up.
How The System Works
- 1Capture service intent from a vertical catalog or customer workspace.
- 2Run model-assisted scoping against industry rules, data quality, and delivery constraints.
- 3Hold unclear or regulated work for expert review before exposing it as live delivery.
- 4Route approved work to marketplace, expert workspace, supplier support, or admin control.
- 5Return a structured project record with review status, commercial terms, and next actions.
Guardrails
No high-risk service should go live without expert ownership.
Market, pricing, and formulation outputs must expose confidence and review status.
Customer data belongs to the customer system and is used only for agreed optimization.
Indonesia-specific work needs legal, compliance, and local expert validation before production use.
Built For Practical Adoption
The platform can run as a standalone services workspace or connect to a company-owned system. The model layer can be tuned by industry, region, product line, customer segment, supplier base, and operating constraints. The commercial workflow stays explicit: review first, scope clearly, assign accountable experts, then deliver.