OI AI Adoption

{
  "mcpServers": {
    "com.operative-intelligence/ai-adoption": {
      "url": "https://operative-intelligence.com/ai-adoption"
    }
  }
}

Indexed tools

Tool metadata and schemas come from the remote server and are untrusted. Indexing only lists tools; it never calls them.

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• Advise on AI for a described process

  adoption_find_patterns

  Advises on using AI in a process the user describes, from a curated knowledge base with sources. The caller passes the description, the task that best matches it and the process properties it states; the server selects deterministically and does not use a language model. The result puts questions to ask first (ask_first) at the top, then one recommended way as a workflow (recommendation: how it would work, what it brings with sourced effects only, what is needed, what to watch out for, a first step), at most two alternatives, and an internal part with ids, evidence levels and sources. For a general question without a concrete process, task general_question returns two business questions and no recommendation yet; with user_unsure true it returns simpler questions and example tasks.

  Schema valid · SHA-256 715ac1a5ae10…

  View input schema

  {
    "type": "object",
    "properties": {
      "description": {
        "type": "string",
        "minLength": 1,
        "maxLength": 1000,
        "description": "The user's description of the process, unchanged"
      },
      "task": {
        "description": "The task that best matches the description. One of: general_question: a general question without a concrete process (for example how to introduce AI in the business); voice_entry: Entering data into a form by voice instead of typing; data_entry_from_documents: Taking data from incoming documents (orders, invoices, delivery notes) into the ERP; mail_routing: Sorting incoming e-mail and documents to the right person or team; register_checks: Checking and completing customer and supplier data from official registers; goods_receipt: Receiving goods with a photo of the delivery note and weighing; customer_questions: Answering frequent customer questions; email_reply_drafts: Preparing replies to incoming e-mail; complete_requests: Collecting all the details of a request before it is handed over; quote_from_inquiry: Preparing a quote from a customer inquiry; lead_finding: Finding and qualifying potential customers; bookings_reminders: Online booking of appointments with reminders; summarise_documents: Summarising long documents into the points that matter; documents_from_templates: Creating documents such as quotes or reports from templates; compare_documents: Comparing documents and finding deviations; translate_documents: Translating technical documents; demand_forecast: Forecasting demand; shift_scheduling: Planning shifts while respecting rules and wishes; resource_scheduling: Scheduling vehicles, machines or rooms; stock_replenishment: Deciding how much stock to order; deal_margin: Seeing the margin of each deal or project; anomaly_detection: Catching duplicate invoices and unusual costs; purchasing_analysis: Analysing purchases and consumption; digital_checklists: Replacing paper checklists with digital ones (for example HACCP, vehicle checks); ai_compliance_check: Checking whether your use of AI complies with the rules; internal_document_search: Finding answers in internal instructions and policies; assistant_connected_to_systems: Letting the assistant you already pay for read your company systems; employee_onboarding: Onboarding new employees; professional_decision_support: Supporting professional decisions (clinical, technical)",
        "type": "string",
        "enum": [
          "general_question",
          "voice_entry",
          "data_entry_from_documents",
          "mail_routing",
          "register_checks",
          "goods_receipt",
          "customer_questions",
          "email_reply_drafts",
          "complete_requests",
          "quote_from_inquiry",
          "lead_finding",
          "bookings_reminders",
          "summarise_documents",
          "documents_from_templates",
          "compare_documents",
          "translate_documents",
          "demand_forecast",
          "shift_scheduling",
          "resource_scheduling",
          "stock_replenishment",
          "deal_margin",
          "anomaly_detection",
          "purchasing_analysis",
          "digital_checklists",
          "ai_compliance_check",
          "internal_document_search",
          "assistant_connected_to_systems",
          "employee_onboarding",
          "professional_decision_support"
        ]
      },
      "properties": {
        "description": "Process properties the description states; leave out what it does not say",
        "type": "object",
        "properties": {
          "country": {
            "description": "In which country does the process run?",
            "type": "string",
            "enum": [
              "SI",
              "AT",
              "DE",
              "HR",
              "other_eu"
            ]
          },
          "monthly_volume": {
            "description": "How many cases does the process handle per month? (cases per month)",
            "type": "number",
            "minimum": 0
          },
          "load_variability": {
            "description": "How much does the workload vary between days or weeks?",
            "type": "string",
            "enum": [
              "low",
              "medium",
              "high"
            ]
          },
          "input_structure": {
            "description": "In what form does the input arrive?",
            "type": "string",
            "enum": [
              "structured",
              "semi_structured",
              "unstructured"
            ]
          },
          "error_cost": {
            "description": "How costly is an undetected error in the output?",
            "type": "string",
            "enum": [
              "low",
              "medium",
              "high"
            ]
          },
          "regulated_domain": {
            "description": "Is the process subject to sector regulation (for example health or finance)?",
            "type": "boolean"
          },
          "personal_data": {
            "description": "Does the process handle personal data?",
            "type": "boolean"
          },
          "entry_device": {
            "description": "On what device do people enter the data?",
            "type": "string",
            "enum": [
              "phone",
              "desktop",
              "hands_free"
            ]
          },
          "entry_length": {
            "description": "Are entries short (a few fields or sentences) or long (full documents)?",
            "type": "string",
            "enum": [
              "short",
              "long"
            ]
          },
          "structured_einvoice_share": {
            "description": "What share of incoming invoices already arrives as structured e-invoices?",
            "type": "string",
            "enum": [
              "none",
              "some",
              "most"
            ]
          },
          "decision_logic": {
            "description": "Will the solution follow fixed rules and an optimisation method, or learn from data or use a language model?",
            "type": "string",
            "enum": [
              "fixed_rules_or_optimisation",
              "machine_learning_or_llm"
            ]
          },
          "allocates_by_personal_traits": {
            "description": "Does the solution allocate work based on individual behaviour, performance or personal traits?",
            "type": "boolean"
          },
          "works_council": {
            "description": "Is there a works council or workers' representative?",
            "type": "boolean"
          },
          "schedule_change_frequency": {
            "description": "How often do schedules change after they are published?",
            "type": "string",
            "enum": [
              "rare",
              "weekly",
              "daily"
            ]
          },
          "access_restricted_documents": {
            "description": "Are some documents visible only to certain people or groups?",
            "type": "boolean"
          },
          "document_kind": {
            "description": "What kind of documents are processed?",
            "type": "string",
            "enum": [
              "domestic_invoices",
              "foreign_invoices",
              "other_documents"
            ]
          },
          "horizon_year": {
            "description": "Until which year should the solution remain in use? (year)",
            "type": "number",
            "minimum": 0
          },
          "customer_facing": {
            "description": "Do customers or other external people interact with the solution directly?",
            "type": "boolean"
          },
          "handles_job_applications": {
            "description": "Can the incoming messages include job applications?",
            "type": "boolean"
          },
          "prices_from_system": {
            "description": "Do prices and discounts come from a business system (price list, ERP) rather than being written by hand?",
            "type": "boolean"
          },
          "write_actions": {
            "description": "Should the assistant be able to change data or trigger actions in company systems, not only read?",
            "type": "boolean"
          },
          "cost_data_per_deal": {
            "description": "Are costs (material, hours, transport) already recorded per deal or project?",
            "type": "boolean"
          },
          "cross_border_eu": {
            "description": "Are some customers businesses in another EU Member State?",
            "type": "boolean"
          },
          "weighing_for_billing": {
            "description": "Is the measured weight used for invoicing or payment?",
            "type": "boolean"
          },
          "food_business": {
            "description": "Is the organisation a food business?",
            "type": "boolean"
          },
          "sends_marketing_email": {
            "description": "Will found contacts receive marketing email?",
            "type": "boolean"
          },
          "contacts_natural_persons": {
            "description": "Are the contacts natural persons (named individuals or sole traders) rather than only company addresses?",
            "type": "boolean"
          },
          "road_transport": {
            "description": "Are vehicles with drivers subject to EU drivers' hours rules planned?",
            "type": "boolean"
          },
          "assigns_people": {
            "description": "Does the planning assign people (not only vehicles, machines or rooms)?",
            "type": "boolean"
          },
          "employee_expense_items": {
            "description": "Are employee expense claims, card transactions or travel costs among the checked items?",
            "type": "boolean"
          },
          "labelled_irregularities": {
            "description": "Are past cases already marked as errors or irregularities (for example corrected duplicates)?",
            "type": "boolean"
          },
          "line_level_purchase_data": {
            "description": "Are purchases available per line (item, quantity, price), for example from e-invoices or the ERP?",
            "type": "boolean"
          },
          "work_equipment_inspections": {
            "description": "Do the checklists include inspections of work equipment or vehicles?",
            "type": "boolean"
          },
          "medical_purpose": {
            "description": "Is the output used for diagnosis, prevention, prediction or treatment of people?",
            "type": "boolean"
          }
        },
        "additionalProperties": false
      },
      "process_type": {
        "description": "Optional filter by process type",
        "type": "string",
        "enum": [
          "data_capture",
          "communication",
          "documents",
          "planning",
          "control",
          "knowledge"
        ]
      },
      "user_unsure": {
        "description": "Only for task general_question: true after the user said they do not know; returns simple questions and example tasks",
        "type": "boolean"
      },
      "lang": {
        "default": "en",
        "description": "Language of the result: sl, en, de or hr. Texts not yet translated are returned in English and marked in the result.",
        "type": "string",
        "enum": [
          "sl",
          "en",
          "de",
          "hr"
        ]
      }
    },
    "required": [
      "description"
    ],
    "$schema": "https://json-schema.org/draft/2020-12/schema"
  }