What is Human-Controlled AI?
Human-controlled AI refers to an artificial intelligence system that keeps human decisions as the final authority. It ensures that AI assists humans instead of replacing them. Humans retain the ability to review, modify, approve, or reject AI-generated recommendations. This is important for enterprises that handle complex and highly customizable products.
Benefits of Human-Controlled AI
Here are key benefits of human-controlled AI:
- Manages standard configurations and pricing while sales teams focus on complex opportunities, such as ETO, CTO, and MTO sales.
- Recommends pricing, discounts, and configurations while sales teams approve exceptions.
- Human reviewers validate unusual configurations, margin exceptions, and non-standard pricing before quote approval.
- Automates and streamlines manual tasks such as quote generation, approval workflows, and pricing calculations.
How Human-Controlled AI works
AI generally handles data processing, pattern analysis, and recommendation generation. However, instead of making every decision autonomously, the human-controlled AI system uses defined handoff points to determine when human intervention is required.
- Data Ingestion: AI collects relevant information from business systems.
- Data Analysis: AI analyzes data to identify patterns and generate insights.
- Decision Routing: Routine decisions are processed automatically while exceptions are sent for human review.
- Human Decision: The reviewer approves, modifies, or rejects the AI-generated recommendation.
- Feedback: Human feedback is shared with the AI system for future decisions.
People Also Ask
Does adding human review delay decision delivery?
Human review might introduce delays, but it is quite helpful in high-risk situations or exceptions, such as sales rep handing product configuration in an engineer-to-order (ETO) sale.
What proportion of AI-generated decisions should human review require?
Human intervention in AI-generated insights and recommendations depends on the domain, product complexity, risk tolerance, and regulatory environment.
