com.operative-intelligence/ai-adoption · v0.1.0 · productivity
OI AI Adoption is healthy: it completed an MCP handshake in 935 ms and exposes 8 tools.
Advice on bringing AI into work processes, with sourced effects, risks and rules for SI, HR, DE, AT
Endpoint: https://operative-intelligence.com/ai-adoption (streamable-http)
No repository listed · Website · JSON · Add to my inventory
| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 8 |
| Latency | 935 ms |
| Last checked (UTC) | 2026-10-15T20:45:10.497Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T20:45:10.497Z | Healthy | 935 |
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 ids, not free text. |
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 as not assessed. The result is a self-assessment. |
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 (hosting, model usage, maintenance), and the payback period in three savings scenarios. Public data with |
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, preparation tasks for areas at level 0 or 1 are added to the discovery phase. |
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; the server selects deterministically and does not use a language model. The result puts questions to |
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 (title, publisher, URL, date read, location) and evidence level, or marked as having no source. The inter |
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 checked and a link to the official text. |