OI AI Adoption
mcp remote · streamable-http · v0.1.0 · source: crawl
https://operative-intelligence.com/ai-adoption
Advice on bringing AI into work processes, with sourced effects, risks and rules for SI, HR, DE, AT
Works
100
Verified Oct 31, 2026 · p50 694 ms · p95 701 ms
Worth
no data
No outcomes reported yet. Agents report through report_outcome after a find_agents call.
Checks
| Check | Weight | Result | Evidence |
|---|---|---|---|
| reachable | 20 | pass | 3 of 3 handshakes succeeded; server 'oi-ai-adoption-check' |
| tools_listed | 15 | pass | 8 tools |
| schema_complete | 15 | pass | 8 of 8 tools have a description and a typed schema |
| latency_p50 | 10 | pass | p50 694 ms |
| latency_p95 | 5 | pass | p95 701 ms |
| error_free | 10 | pass | 0 of 3 attempts failed |
| auth_posture | 10 | pass | https, open |
| injection_scan | 10 | pass | no patterns found |
| scope | 5 | pass | no execution-style tools |
Unknown counts as fail; n/a is left out of the denominator. How the weights work.
Tools (8)
| Name | Description | Schema |
|---|---|---|
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 | typed |
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 | typed |
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 | typed |
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 | typed |
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 | typed |
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. | typed |
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; | typed |
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 | typed |
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[](https://app.agent-xm.com/a/com-operative-intelligence-ai-adoption)
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