
AI Business System Advisor
Find the safest first AI workflow before investing in AI agents or automation.
От сообщества: Добавлен пользователем или импортирован; проверьте владельца перед подключениемРаботаетБез входаГлобальныйБесплатноТолько чтение
Что умеет
Какие данные видит
Нужен ли аккаунт
Не нужен: сервер работает без входа
Find the safest first AI workflow before investing in AI agents or automation.
Список инструментов сервера (9)
Технические названия из tools/list. Нужны только разработчикам.
| analyze_business_context | Summarizes the supplied business context, including customer, offer, workflow, goals, constraints, readiness signals, missing information, and confidence. |
| map_customer_touchpoints | Maps customer-facing workflow stages, trust-sensitive moments, automation-safe areas, human-critical areas, missing information, and confidence. |
| identify_bottlenecks | Identifies likely revenue, operations, customer experience, and trust/control bottlenecks from the supplied business context and returns a public-safe summary. |
| evaluate_ai_opportunities | Evaluates candidate AI workflow ideas for business value, implementation readiness, repeatability, trust/control risk, warnings, and missing information. |
| assess_trust_control_risks | Reviews a proposed AI workflow for human review needs, data boundaries, quality controls, escalation triggers, unsafe automation risks, and confidence. |
| recommend_first_workflow | Recommends the safest narrow AI-human workflow to implement first, including roles, review rules, escalation rules, success metrics, and missing information. |
| generate_mini_report | Generates a public-safe mini business system review with snapshot, bottlenecks, opportunities, risks, first workflow, next step, missing information, and confidence. |
| recommend_next_step | Recommends a practical next-step category based on business goal, workflow complexity, implementation readiness, risk level, preferences, and missing information. |
| export_intake_packet | Creates a structured public-safe markdown and JSON intake packet with business context, findings, risks, recommended workflow, missing information, and confidence. |