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OI AI Adoption

by FastDrop

MCP Verified 2 hours ago Registry import free

Advice on bringing AI into work processes, with sourced effects, risks and rules for SI, HR, DE, AT

Advice on bringing AI into work processes, with sourced effects, risks and rules for SI, HR, DE, AT Official MCP Registry: com.operative-intelligence/ai-adoption@0.1.0. Remote endpoint: https://operative-intelligence.com/ai-adoption

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Remote MCP endpoint ingested from the official registry and probed by FastDrop.

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as com.operative-intelligence/ai-adoption and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 15 Oct 2026. Not supplied by the maker.

  • get_readiness_questions

    Returns the self-assessment questions on AI readiness in four areas (data, processes, people, compliance), each with its id, the reason it is asked and the allowed answer options. Answers are option i

  • assess_ai_readiness

    Scores the answers from get_readiness_questions with fixed rules: a level from 0 to 4 per area, the rule behind each limit, the gaps found and a next step for each gap. Unanswered areas are reported a

  • estimate_ai_costs

    Estimates the costs of introducing AI, shown separately as external costs (contractor, DPIA, legal review, AI literacy training), internal staff time, licences per month and operations per month (host

  • plan_ai_rollout

    Returns a phased rollout plan (discovery, pilot, rollout, operations) with tasks, roles in RACI form, risks and indicators for the chosen implementation pattern. When readiness answers are given, prep

  • adoption_list_process_types

    Returns the six process types of the knowledge base (data capture, communication, documents, planning, control, knowledge) with a definition and the ids of the adoption patterns of each type.

  • 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;

  • adoption_get_pattern

    Returns the user-facing recommendation for one pattern (workflow, sourced effects, needs, risks, a first step) and, in an internal part, the full pattern with every claim resolved to its sources (titl

  • adoption_get_regulations

    Returns the EU and national provisions in the regulation register for the chosen country, optionally only those linked to one pattern, each with what it requires in plain words, the article, the date

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